From 4922547d0e1ba4c138afc0dea171550dda2c43f5 Mon Sep 17 00:00:00 2001
From: nmprista <31890653+nmprista@users.noreply.github.com>
Date: Fri, 17 Oct 2025 10:40:08 +0200
Subject: [PATCH 01/87] Update
 BuildTextBookDataUpload_Pckg_survey_apiclus1_H1.R

renamed file
---
 ..._v2_H1.R => BuildTextBookDataUpload_Pckg_survey_apiclus1_H1.R} | 0
 1 file changed, 0 insertions(+), 0 deletions(-)
 rename data-raw/exampleData/TextBookExamples/{BuildTextBookDataUpload_Pckg_survey_apiclus1_v2_H1.R => BuildTextBookDataUpload_Pckg_survey_apiclus1_H1.R} (100%)

diff --git a/data-raw/exampleData/TextBookExamples/BuildTextBookDataUpload_Pckg_survey_apiclus1_v2_H1.R b/data-raw/exampleData/TextBookExamples/BuildTextBookDataUpload_Pckg_survey_apiclus1_H1.R
similarity index 100%
rename from data-raw/exampleData/TextBookExamples/BuildTextBookDataUpload_Pckg_survey_apiclus1_v2_H1.R
rename to data-raw/exampleData/TextBookExamples/BuildTextBookDataUpload_Pckg_survey_apiclus1_H1.R

From a12ea7989d8c7b8e6ea73b59007b56d1145af67e Mon Sep 17 00:00:00 2001
From: nmprista <31890653+nmprista@users.noreply.github.com>
Date: Fri, 17 Oct 2025 11:30:29 +0200
Subject: [PATCH 02/87] updated strata name streamlined project_name_outputs

---
 .../BuildTextBookDataUpload_Pckg_survey_apiclus1_H1.R       | 6 +++---
 1 file changed, 3 insertions(+), 3 deletions(-)

diff --git a/data-raw/exampleData/TextBookExamples/BuildTextBookDataUpload_Pckg_survey_apiclus1_H1.R b/data-raw/exampleData/TextBookExamples/BuildTextBookDataUpload_Pckg_survey_apiclus1_H1.R
index 03fbeb0..55b3eeb 100644
--- a/data-raw/exampleData/TextBookExamples/BuildTextBookDataUpload_Pckg_survey_apiclus1_H1.R
+++ b/data-raw/exampleData/TextBookExamples/BuildTextBookDataUpload_Pckg_survey_apiclus1_H1.R
@@ -38,13 +38,13 @@
 		target_var<-"enroll"
 
 	# name your project (will be used in filenames for CS, SL and VD)
-		project_name_outputs <- "WGRDBES-EST_TEST_1_Pckg_survey_apiclus1_v2_H1"
+		project_name_outputs <- "WGRDBES-EST_TEST_1_Pckg_survey_apiclus1_H1"
 
 	# select a year for upload
 		DEyear<-1965
 		SDinstitution <- 4484
-		DEsamplingScheme<-"WGRDBES-EST TEST 1"
-		DEstratumName <- "Pckg_SDAResources_apiclus1_v2_H1"
+		DEsamplingScheme <- "WGRDBES-EST TEST 1"
+		DEstratumName <- "Pckg_survey_apiclus1_H1"
 		project_name_outputs <- gsub(" ","_", paste0(DEsamplingScheme,"_", DEstratumName))
 		baseDir <- "./data-raw/exampleData/TextBookExamples/"
 		baseDir <- ""

From 73bd68915e83d9d311bb0b19b794fcda63e86227 Mon Sep 17 00:00:00 2001
From: nmprista <31890653+nmprista@users.noreply.github.com>
Date: Fri, 17 Oct 2025 12:06:03 +0200
Subject: [PATCH 03/87] Update BuildTextBookDataUpload_All.R

updated apiclus1_v2_H1 to apiclus1_H1
---
 .../exampleData/TextBookExamples/BuildTextBookDataUpload_All.R  | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/data-raw/exampleData/TextBookExamples/BuildTextBookDataUpload_All.R b/data-raw/exampleData/TextBookExamples/BuildTextBookDataUpload_All.R
index b9e98c6..df429b7 100644
--- a/data-raw/exampleData/TextBookExamples/BuildTextBookDataUpload_All.R
+++ b/data-raw/exampleData/TextBookExamples/BuildTextBookDataUpload_All.R
@@ -5,7 +5,7 @@ source("BuildTextBookDataUpload_Pckg_SDAResources_coots_H1.R")
 source("BuildTextBookDataUpload_Pckg_SDAResources_coots_multistage_H1.R")
 source("BuildTextBookDataUpload_Pckg_SDAResources_gpa_H1.R")
 source("BuildTextBookDataUpload_Pckg_SDAResources_schools_H1.R")
-source("BuildTextBookDataUpload_Pckg_survey_apiclus1_v2_H1.R")
+source("BuildTextBookDataUpload_Pckg_survey_apiclus1_H1.R")
 source("BuildTextBookDataUpload_Pckg_survey_apiclus2_H1.R")
 source("BuildTextBookDataUpload_Pckg_survey_apiclus2_v2_H1.R")
 source("BuildTextBookDataUpload_Pckg_survey_apistrat_H1.R")

From 0eb32f838899998bd3c7ceddda5e9feb305199f7 Mon Sep 17 00:00:00 2001
From: nmprista <31890653+nmprista@users.noreply.github.com>
Date: Fri, 17 Oct 2025 12:12:16 +0200
Subject: [PATCH 04/87] update textBookExamples

new download
update data dir with all textbook examples #248
---
 .../ZW_1965_WGRDBES-EST_TEST_1.zip            | Bin 226151 -> 226212 bytes
 data/Pckg_SDAResources_agsrs_H1.rda           | Bin 0 -> 18132 bytes
 data/Pckg_SDAResources_agstrat_H1.rda         | Bin 18359 -> 18345 bytes
 data/Pckg_SDAResources_algebra_H1.rda         | Bin 0 -> 13707 bytes
 data/Pckg_SDAResources_coots_H1.rda           | Bin 0 -> 18120 bytes
 .../Pckg_SDAResources_coots_multistage_H1.rda | Bin 0 -> 18478 bytes
 data/Pckg_SDAResources_gpa_H1.rda             | Bin 0 -> 6811 bytes
 data/Pckg_SDAResources_schools_H1.rda         | Bin 0 -> 11436 bytes
 data/Pckg_survey_apiclus1_H1.rda              | Bin 0 -> 13736 bytes
 data/Pckg_survey_apiclus2_H1.rda              | Bin 10435 -> 10333 bytes
 data/Pckg_survey_apiclus2_v2_H1.rda           | Bin 0 -> 11622 bytes
 data/Pckg_survey_apistrat_H1.rda              | Bin 12743 -> 12594 bytes
 12 files changed, 0 insertions(+), 0 deletions(-)
 create mode 100644 data/Pckg_SDAResources_agsrs_H1.rda
 create mode 100644 data/Pckg_SDAResources_algebra_H1.rda
 create mode 100644 data/Pckg_SDAResources_coots_H1.rda
 create mode 100644 data/Pckg_SDAResources_coots_multistage_H1.rda
 create mode 100644 data/Pckg_SDAResources_gpa_H1.rda
 create mode 100644 data/Pckg_SDAResources_schools_H1.rda
 create mode 100644 data/Pckg_survey_apiclus1_H1.rda
 create mode 100644 data/Pckg_survey_apiclus2_v2_H1.rda

diff --git a/data-raw/exampleData/TextBookExamples/DownloadsFromRDBES/ZW_1965_WGRDBES-EST_TEST_1.zip b/data-raw/exampleData/TextBookExamples/DownloadsFromRDBES/ZW_1965_WGRDBES-EST_TEST_1.zip
index 177ee14e11e506e30f3af3ff922c63818bea9ec1..9534d10f20c386c6451097963405b8adadd3d9fd 100644
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diff --git a/data/Pckg_SDAResources_agstrat_H1.rda b/data/Pckg_SDAResources_agstrat_H1.rda
index 09d22092d1d38bc4d7fa0059b46ac6c255278c5d..93d6451783b6d259373deb9dbd95a983a25bf06a 100644
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diff --git a/data/Pckg_SDAResources_coots_H1.rda b/data/Pckg_SDAResources_coots_H1.rda
new file mode 100644
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z54_lxMgV4KFu)4OGZiL+j)Dje`H+zKvGN>oua9%3N~$a*MQ&~$rUTlSmp9#kUS5lP
z`1~nt;nb=YL_qd?s=>pxR9HCuQ4Be!0gSbgT^GjIqadsO4k;^(76k<^<ZckZo9N_#
zaV;2G9f77wY0Kh1?3@G!^ES;#AxSms>*qXr7^h`0j*b+i_WiN8vWjX@@asI#owqm)
z;VrXKz<qQ}OE(Hi^w$c%FfsID`Vt1fur@B4&>ptx!^uOBnQEcYQ@?rkqumM^S#K4D
F{}-g(O+^3z


From 905a7703e047a56773db2680ff4774d78875f2f0 Mon Sep 17 00:00:00 2001
From: nmprista <31890653+nmprista@users.noreply.github.com>
Date: Fri, 17 Oct 2025 14:45:21 +0200
Subject: [PATCH 05/87] Update data.R

put back the textbook examples
deleted the shrimp datasets (it has been long since they were last updated)
---
 R/data.R | 320 +++++++++++++++++++++++++++++++++++++++++++++----------
 1 file changed, 263 insertions(+), 57 deletions(-)

diff --git a/R/data.R b/R/data.R
index affcc6c..cf8db88 100644
--- a/R/data.R
+++ b/R/data.R
@@ -234,7 +234,62 @@
 #' @source \url{https://CRAN.R-project.org/package=survey}
 "Pckg_survey_apiclus2_H1"
 
+#' A RDBESDataObject converted from package survey dataset apiclus1
+#'
+#' This data set is derived from the Academic Performance Index computed for all
+#' California schools based on standardized testing of students. The original
+#' data sets contain information for all schools with at least 100 students and
+#' for various probability samples of the data. The design is 1-stage cluster
+#' sampling with clusters of unequal sizes. An SRS of 15 districts is selected
+#' (psus) from the 757 districts in the population. All schools within district
+#' are selected (ssus). The weights (pw) do not match 757/15 probably because
+#' they have been calibrated. The target variable is enroll.
+#'
+#' @format A list containing entries required for H1 RDBES data:
+#' \describe{
+#'   \item{DE}{the Design data table. Contains 1 DE row with DEstratumName == "Pckg_SDAResources_apiclus1_v2_H1"}
+#'   \item{SD}{the Sampling Details data table. Contains 1 child SD row}
+#'   \item{VS}{the Vessel Selection data table. Contains 183 child rows (the 186 schools finally observed), each associated to its cluster (dname), VSnumberTotalClusters is 757, VSnumberTotal is the number of schools in the cluster (census), calibrated weights are provided as 1/pw in VSinclusionProbCluster}
+#'   \item{FT}{the Fishing Trip data table. Just 1:1 links to the final data (in SA)}
+#'   \item{FO}{the Fishing Operation data table. Just 1:1 links to the final data (in SA)}
+#'   \item{SS}{the Species Selection data table. Just 1:1 links to the final data (in SA)}
+#'   \item{SA}{the Sample data table. SAsampleWeightMeasured is enroll}
+#'   \item{FM}{the Frequency Measure data table}
+#'   \item{BV}{the Biological Variable data table}
+#'   \item{VD}{the Vessel Details data table}
+#'   \item{SL}{the Species List data table}
+#'   \item{IS}{the Individual Species table}
+#' }
+#' @source \url{https://CRAN.R-project.org/package=survey}
+"Pckg_survey_apiclus1_H1"
 
+#' A Clustered RDBESDataObject converted from package survey dataset apiclus2
+#'
+#' This data set is derived from the Academic Performance Index computed for all
+#' California schools based on standardized testing of students. The original
+#' data sets contain information for all schools with at least 100 students and
+#' for various probability samples of the data. The design is 2-stage cluster
+#' sampling with clusters of unequal sizes. An SRS of 40 districts is selected
+#' (psus) from the 757 districts in the population and then up to 5 schools (min
+#' 1) were selected from each district (ssus). The target variable is enroll - note that it contains 4 NA values.
+#'
+#' @format A list containing entries required for H1 RDBES data:
+#' \describe{
+#'   \item{DE}{the Design data table. Contains 1 DE row with DEstratumName == "Pckg_SDAResources_apiclus2_v2_H1"}
+#'   \item{SD}{the Sampling Details data table. Contains 1 child SD row}
+#'   \item{VS}{the Vessel Selection data table. Contains 126 child rows (the 126 schools finally observed), each associated to its cluster (dname), VSnumberTotalClusters is 757, VSnumberTotal is 1...5 schools sampled}
+#'   \item{FT}{the Fishing Trip data table. Just 1:1 links to the final data (in SA)}
+#'   \item{FO}{the Fishing Operation data table. Just 1:1 links to the final data (in SA)}
+#'   \item{SS}{the Species Selection data table. Just 1:1 links to the final data (in SA)}
+#'   \item{SA}{the Sample data table. SAsampleWeightMeasured is enroll (note the 4 NAs)}
+#'   \item{FM}{the Frequency Measure data table}
+#'   \item{BV}{the Biological Variable data table}
+#'   \item{VD}{the Vessel Details data table}
+#'   \item{SL}{the Species List data table}
+#'   \item{IS}{the Individual Species table}
+#' }
+#' @source \url{https://CRAN.R-project.org/package=survey}
+"Pckg_survey_apiclus2_v2_H1"
 
 #' A RDBESDataObject converted from package survey dataset apistrat
 #'
@@ -270,6 +325,46 @@
 
 ##------H1 Data from SDAResources package-------------------
 
+#' A RDBESDataObject converted from package SDAResources dataset agsrs
+#'
+#' This data set is derived from the data(agsrs) used in Lohr examples 2.6, 2.7
+#' and 2.11 of SDA book. Information required for example 4.8
+#' (domain estimation) is also added to SA (farmcat <=> SAarea).
+#' VSnumberSampled and VSnumberTotal set according to agsrs and book pop
+#' values. VSunitName is set to a combination of original agsrs$county,
+#' agsrs$state, agsrs$region and row numbers. Table SA contains the variable
+#' measured agsrs$acres92 in SAtotalWeightMeasured, SAsampleWeightMeasured and
+#' SAconversionFactorMeasLive set to 1. Table SA also contains the domain
+#' information, coded in SAarea. Table DE, SD, FT and FO are for the most
+#' dummy tables inserted to meet RDBES model requirements to be aggregated
+#' during estimation tests. Values of mandatory fields have dummy values with
+#' exception of Design-Variables in VS that match the book. BV, FM, CL, and CE
+#' are not provided. SL and VD are subset to the essential rows.
+#'
+#' @format A list containing entries required for H1 RDBES data:
+#' \describe{
+#'   \item{DE}{the Design data table. Contains dummy values with exception of
+#'   Design-Variables in VS that match the book}
+#'   \item{SD}{the Sampling Details data table. Contains dummy values}
+#'   \item{VS}{the Vessel Selection data table. Contains core information of
+#'   data(agsrs), VSnumberSampled and VSnumberTotal set according to agsrs
+#'   and book pop values, VSunitName is set to a combination of original
+#'   agsrs$county, agsrs$state, agsrs$region and row numbers}
+#'   \item{FT}{the Fishing Trip data table. Contains dummy values}
+#'   \item{FO}{the Fishing Operation data table. Contains dummy values}
+#'   \item{SS}{the Species Selection data table. Contains dummy values}
+#'   \item{SA}{the Sample data table. Contains the variable measured
+#'   agsrs$acres92 in SAtotalWeightMeasured, SAsampleWeightMeasured and
+#'   SAconversionFactorMeasLive set to 1, and the domain information,
+#'   coded in SAarea}
+#'   \item{FM}{the Frequency Measure data table. Not provided}
+#'   \item{BV}{the Biological Variable data table. Not provided}
+#'   \item{VD}{the Vessel Details data table. Subset to the essential rows}
+#'   \item{SL}{the Species List data table. Subset to the essential rows}
+#'   \item{IS}{the Individual Species table}
+#' }
+#' @source \url{https://CRAN.R-project.org/package=SDAResources}
+"Pckg_SDAResources_agsrs_H1"
 
 #' A RDBESDataObject converted from package SDAResources dataset agstrat
 #'
@@ -311,64 +406,175 @@
 #' @source \url{https://CRAN.R-project.org/package=SDAResources}
 "Pckg_SDAResources_agstrat_H1"
 
+#' A RDBESDataObject converted from package SDAResources dataset algebra
+#'
+#' This data set is derived from a fictional data for an SRS of 12 algebra
+#' classes in a city, from a population of 187 classes. The design is 1-stage
+#' cluster sampling with clusters of unequal sizes. Clusters are classes (class).
+#' Clusters (psu) are unequal sized (Mi). In each cluster, all students are
+#' selected (ssus, nrows). The total number of psus is known (187). The target
+#' variable is score.
+#'
+#' @format A list containing entries required for H1 RDBES data:
+#' \describe{
+#'   \item{DE}{the Design data table. Contains 1 DE row with
+#'   DEstratumName == "Pckg_SDAResources_algebra_H1"}
+#'   \item{SD}{the Sampling Details data table. Contains 1 child SD row}
+#'   \item{VS}{the Vessel Selection data table. Contains 299 child rows
+#'   (the 299 students observed), each associated to its cluster (class),
+#'   VSnumberTotalClusters is 187, VSnumberSampledClusters is 12,
+#'   VSnumberTotal is Missing}
+#'   \item{FT}{the Fishing Trip data table. Just 1:1 links to the final
+#'   data (in SA)}
+#'   \item{FO}{the Fishing Operation data table. Just 1:1 links to the final
+#'    data (in SA)}
+#'   \item{SS}{the Species Selection data table. Just 1:1 links to the final
+#'    data (in SA)}
+#'   \item{SA}{the Sample data table. Each score is a SAsampleWeightMeasured}
+#'   \item{FM}{the Frequency Measure data table}
+#'   \item{BV}{the Biological Variable data table}
+#'   \item{VD}{the Vessel Details data table}
+#'   \item{SL}{the Species List data table}
+#'   \item{IS}{the Individual Species table}
+#' }
+#' @source \url{https://CRAN.R-project.org/package=SDAResources}
+"Pckg_SDAResources_algebra_H1"
+
+#' A RDBESDataObject converted from package SDAResources dataset coots
+#'
+#' This data set is derived from the data(coots). The design is 2-stage cluster
+#' sampling with clusters of unequal sizes and Npsu not known. Clusters are
+#' clutches of eggs (nests) with at least 2 eggs. In each cluster, the volume
+#' of two eggs is measured. Clusters (psu) are unequal sized. In each cluster,
+#' 2 eggs are selected (ssus) and measured. The total number of psus is not
+#' known (a drawback in this example). It is assumed very large (fpc negligible).
+#' The target variable is volume (others are available).
+#'
+#' @format A list containing entries required for H1 RDBES data:
+#' \describe{
+#'   \item{DE}{the Design data table. Contains 1 DE row with
+#'   DEstratumName == "Pckg_SDAResources_coots_H1"}
+#'   \item{SD}{the Sampling Details data table. Contains 1 child SD row}
+#'   \item{VS}{the Vessel Selection data table. Contains 368 child rows
+#'   (the 368 eggs/psus observed), each associated to its cluster (clutch),
+#'   VSnumberTotalClusters is not known, VSnumberTotal is csize}
+#'   \item{FT}{the Fishing Trip data table. Just 1:1 links to the final data
+#'   (in SA)}
+#'   \item{FO}{the Fishing Operation data table. Just 1:1 links to the final
+#'   data (in SA)}
+#'   \item{SS}{the Species Selection data table. Just 1:1 links to the
+#'   final data (in SA)}
+#'   \item{SA}{the Sample data table. Each volume is a SAsampleWeightMeasured.
+#'   ATT volumes are *100000000 to meet type requirement (integer)}
+#'   \item{FM}{the Frequency Measure data table}
+#'   \item{BV}{the Biological Variable data table}
+#'   \item{VD}{the Vessel Details data table}
+#'   \item{SL}{the Species List data table}
+#'   \item{IS}{the Individual Species table}
+#' }
+#' @source \url{https://CRAN.R-project.org/package=SDAResources}
+"Pckg_SDAResources_coots_H1"
 
+#' A Multi-stage RDBESDataObject from package SDAResources dataset coots
+#'
+#' This data set is derived from the data(coots). The design is 2-stage cluster
+#' sampling with clusters of unequal sizes and Npsu not known. Clusters are
+#' clutches of eggs (nests) with at least 2 eggs. In each cluster, the volume
+#' of two eggs is measured. Clusters (psu) are unequal sized. In each cluster,
+#' 2 eggs are selected (ssus) and measured. The total number of psus is not
+#' known (a drawback in this example). It is assumed very large (fpc negligible).
+#' The target variable is volume.
+#'
+#' @format A list containing entries required for H1 RDBES data:
+#' \describe{
+#'   \item{DE}{the Design data table. Contains 1 DE row with
+#'   DEstratumName == "Pckg_SDAResources_coots_H1"}
+#'   \item{SD}{the Sampling Details data table. Contains 1 child SD row}
+#'   \item{VS}{the Vessel Selection data table. Contains 184 child rows
+#'   (the 184 clutches/psus observed), each associated to its cluster (clutch),
+#'   VSnumberTotal is not known, VSnumberSampled is 184}
+#'   \item{FT}{the Fishing Trip data table. Contains 368 child rows
+#'   (the 368 eggs/ssus measured), each associated to its vessel (clutch),
+#'   FTnumbersampled is 2, FTnumberTotal is csize}
+#'   \item{FO}{the Fishing Operation data table. Just 1:1 links to the final
+#'   data (in SA)}
+#'   \item{SS}{the Species Selection data table. Just 1:1 links to the final
+#'   data (in SA)}
+#'   \item{SA}{the Sample data table. Each volume is a SAsampleWeightMeasured.
+#'   ATT volumes are *100000000 to meet type requirement (integer)}
+#'   \item{FM}{the Frequency Measure data table}
+#'   \item{BV}{the Biological Variable data table}
+#'   \item{VD}{the Vessel Details data table}
+#'   \item{SL}{the Species List data table}
+#'   \item{IS}{the Individual Species table}
+#' }
+#' @source \url{https://CRAN.R-project.org/package=SDAResources}
+"Pckg_SDAResources_coots_multistage_H1"
+
+#' A RDBESDataObject converted from package SDAResources dataset gpa
+#'
+#' This data set is derived from the data(gpa). The design is 1-stage cluster
+#' sampling with clusters of equal sizes. Each cluster (suite) has 4 elements
+#' with the same weight. The target variable is gpa.
+#'
+#' @format A list containing entries required for H1 RDBES data:
+#' \describe{
+#'   \item{DE}{the Design data table. Contains 1 DE row with
+#'   DEstratumName == "Pckg_SDAResources_gpa_H1"}
+#'   \item{SD}{the Sampling Details data table. Contains 1 child SD row}
+#'   \item{VS}{the Vessel Selection data table. Contains 20 child rows
+#'   (the 20 observations), each associated to its cluster (suite),
+#'   VSnumberTotalClusters is 100, VSnumberTotal is 4 because all elements in
+#'   cluster are sampled}
+#'   \item{FT}{the Fishing Trip data table. Just 1:1 links to the final data
+#'   (in SA)}
+#'   \item{FO}{the Fishing Operation data table. Just 1:1 links to the final
+#'   data (in SA)}
+#'   \item{SS}{the Species Selection data table. Just 1:1 links to the final
+#'   data (in SA)}
+#'   \item{SA}{the Sample data table. Each gpa score is a
+#'   SAsampleWeightMeasured. ATT gpa scores are *100 to meet type requirement
+#'   (integer)}
+#'   \item{FM}{the Frequency Measure data table}
+#'   \item{BV}{the Biological Variable data table}
+#'   \item{VD}{the Vessel Details data table}
+#'   \item{SL}{the Species List data table}
+#'   \item{IS}{the Individual Species table}
+#' }
+#' @source \url{https://CRAN.R-project.org/package=SDAResources}
+"Pckg_SDAResources_gpa_H1"
+
+#' A RDBESDataObject converted from package SDAResources dataset schools
+#'
+#' This data set is derived from the data(schools). The design is 2-stage cluster
+#' sampling with clusters of unequal sizes and Npsu not known. Clusters are
+#' schools (schoolid). Clusters (psu) are unequal sized (Mi). In each cluster,
+#' 20 students are selected (ssus) and measured (nrows). The total number of
+#' psus is known (75). The target variable is mathlevel.
+#'
+#' @format A list containing entries required for H1 RDBES data:
+#' \describe{
+#'   \item{DE}{the Design data table. Contains 1 DE row with
+#'   DEstratumName == "Pckg_SDAResources_schools_H1"}
+#'   \item{SD}{the Sampling Details data table. Contains 1 child SD row}
+#'   \item{VS}{the Vessel Selection data table. Contains 200 child rows
+#'   (the 200 students observed), each associated to its cluster (schoolid),
+#'   VSnumberTotalClusters is 100, VSnumberTotal is Mi}
+#'   \item{FT}{the Fishing Trip data table. Just 1:1 links to the final data
+#'   (in SA)}
+#'   \item{FO}{the Fishing Operation data table. Just 1:1 links to the
+#'   final data (in SA)}
+#'   \item{SS}{the Species Selection data table. Just 1:1 links to the
+#'   final data (in SA)}
+#'   \item{SA}{the Sample data table. Each volume is a SAsampleWeightMeasured}
+#'   \item{FM}{the Frequency Measure data table}
+#'   \item{BV}{the Biological Variable data table}
+#'   \item{VD}{the Vessel Details data table}
+#'   \item{SL}{the Species List data table}
+#'   \item{IS}{the Individual Species table}
+#' }
+#' @source \url{https://CRAN.R-project.org/package=SDAResources}
+"Pckg_SDAResources_schools_H1"
 
 
-#-------Other example data----------
-
-#' One quarter of sample data from swedish shrimp landings of the
-#' SWE_OTB_CRU_32-69_0_0 fishery
-#'
-#' A dataset of rdbesEstimObj type containing simplified haul-level
-#' samples (rows) of shrimp landings (targetValue, in kg) observed onboard using
-#' H1 of RDBES with UPWOR on vessels. Data is provided for developing/testing
-#' purposes only.
-#'
-#' @format A data frame with 10 rows and 95 variables:
-#'
-#'   - DEsamplingScheme - Sampling Scheme
-#'   - DEyear - Year of data collection
-#'   - DEstratumName - Fishery code
-#'   - DEhierarchyCorrect - Design Variable of RDBES. More details in RDBES documentation
-#'   - DEhierarchy - Design Variable of RDBES. More details in RDBES documentation
-#'   - DEsampled - Design Variable of RDBES. More details in RDBES documentation
-#'   - DEreasonNotSampled - Design Variable of RDBES. More details in RDBES documentation
-#'   - SDcountry - Country that collected the data
-#'   - SDinstitution - Institution that collected the data
-#'   - su1, su2, su3, su4, su5 - sampling units of RDBES. More details in RDBES documentation
-#'   - XXXnumberSampled, ... - Design Variables of RDBES. More details in RDBES documentation
-#'   - targetValue - estimate of weight landed in each haul (in kg)
-#'   - plus XX other columns
-#'
-#' @source Nuno Prista @ SLU Aqua, 2022
-"shrimps"
-
-#' One quarter of sample data from swedish shrimp catches of the
-#' SWE_OTB_CRU_32-69_0_0 fishery
-#'
-#' A dataset of rdbesEstimObj type containing simplified haul-level
-#' samples (rows) of shrimp catches (targetValue, in kg) observed onboard using
-#' H1 of RDBES with UPWOR on vessels. Catches are divided into three strata (91, 92, 93_94)
-#' that correspond to sorting sieves used onboard. Data is provided for developing/testing
-#' purposes only.
-#'
-#' @format A data frame with 10 rows and 95 variables:
-#'
-#'   - DEsamplingScheme - Sampling Scheme
-#'   - DEyear - Year of data collection
-#'   - DEstratumName - Fishery code
-#'   - DEhierarchyCorrect - Design Variable of RDBES. More details in RDBES documentation
-#'   - DEhierarchy - Design Variable of RDBES. More details in RDBES documentation
-#'   - DEsampled - Design Variable of RDBES. More details in RDBES documentation
-#'   - DEreasonNotSampled - Design Variable of RDBES. More details in RDBES documentation
-#'   - SDcountry - Country that collected the data
-#'   - SDinstitution - Institution that collected the data
-#'   - su1, su2, su3, su4, su5 - sampling units of RDBES. More details in RDBES documentation
-#'   - XXXnumberSampled, ... - Design Variables of RDBES. More details in RDBES documentation
-#'   - su5stratumName - sieve fraction
-#'   - targetValue - estimate of weight fraction in each haul (in kg)
-#'   - plus XX other columns
-#'
-#' @source Nuno Prista @ SLU Aqua, 2022
-"shrimpsStrat"
 

From 896c3545b17580dd8e78b2ce2e0304381502b6f8 Mon Sep 17 00:00:00 2001
From: nmprista <31890653+nmprista@users.noreply.github.com>
Date: Fri, 17 Oct 2025 14:54:58 +0200
Subject: [PATCH 06/87] Update add2PackageDataWGRDBES-EST_TEST_1.R

changes to data name moved to upload
added a test to speed up check on motive behind warning issued by createRDBESDataObject (NAs in VSnumTotal)
---
 data-raw/add2PackageDataWGRDBES-EST_TEST_1.R | 21 ++++++++++++--------
 1 file changed, 13 insertions(+), 8 deletions(-)

diff --git a/data-raw/add2PackageDataWGRDBES-EST_TEST_1.R b/data-raw/add2PackageDataWGRDBES-EST_TEST_1.R
index ef0b4de..8c26fd5 100644
--- a/data-raw/add2PackageDataWGRDBES-EST_TEST_1.R
+++ b/data-raw/add2PackageDataWGRDBES-EST_TEST_1.R
@@ -1,6 +1,6 @@
 #read the downloaded zip file
 #this file is downloaded from the RDBES the contents of this file is prepared in
-# the files in the directory exampleData/TextBookExamples and uploaded to RDBES
+#the files in the directory exampleData/TextBookExamples and uploaded to RDBES
 
 zipFname <- "./data-raw/exampleData/TextBookExamples/DownloadsFromRDBES/ZW_1965_WGRDBES-EST_TEST_1.zip"
 data <- RDBEScore::createRDBESDataObject(zipFname)
@@ -11,20 +11,25 @@ data <- RDBEScore::filterRDBESDataObject(data,
                                          fieldsToFilter = "DEsampScheme",
                                          valuesToFilter = samp_scheme,
                                          killOrphans = T)
+
+# dataset Pckg_SDAResources_coots_multistage_H1 has NA as VSnumTotal which
+# creates a warning message when data is printed,. The following code
+# checks that dataset is the only case, otherwise stops
+aux<-RDBEScore:::createTableOfRDBESIds(data)
+VSid_without_VSnumTotal<-unique(
+  aux[aux$DEid==data$DE$DEid[
+      data$DE$DEstratumName=="Pckg_SDAResources_coots_multistage_H1"],"VSid"])
+if(!nrow(data$VS[is.na(data$VS$VSnumTotal)])==length(VSid_without_VSnumTotal)){
+  stop()
+}
+
 datasetNames <- unique(data$DE$DEstratumName)
 
-#fix wrong named data these are from survey actually
-wrongDataSets <- c('Pckg_SDAResources_apiclus1_v2_H1',
-                    'Pckg_SDAResources_apiclus2_v2_H1')
 #add all stratums to package data
 for(dname in datasetNames){
   #fix the naming removing strange characters
   datasetName <- gsub("[[:punct:]]|[[:space:]]", "_",
                       paste0(dname))
-  #replace the name
-  if(dname %in% wrongDataSets){
-    datasetName <- sub("SDAResources", "survey", datasetName)
-    }
   deData <-  RDBEScore::filterRDBESDataObject(data,
                                               fieldsToFilter = "DEstratumName",
                                               valuesToFilter = dname,

From ba12f0f1b0ed30fba6eb9b3bc8437734c78f47df Mon Sep 17 00:00:00 2001
From: nmprista <31890653+nmprista@users.noreply.github.com>
Date: Fri, 17 Oct 2025 16:12:26 +0200
Subject: [PATCH 07/87] Update add2PackageDataWGRDBES-EST_TEST_1.R

improved filtering of SL
added a work-around to killOrphans in IS (see #253)
---
 data-raw/add2PackageDataWGRDBES-EST_TEST_1.R | 9 ++++++---
 1 file changed, 6 insertions(+), 3 deletions(-)

diff --git a/data-raw/add2PackageDataWGRDBES-EST_TEST_1.R b/data-raw/add2PackageDataWGRDBES-EST_TEST_1.R
index 8c26fd5..7833e30 100644
--- a/data-raw/add2PackageDataWGRDBES-EST_TEST_1.R
+++ b/data-raw/add2PackageDataWGRDBES-EST_TEST_1.R
@@ -31,11 +31,14 @@ for(dname in datasetNames){
   datasetName <- gsub("[[:punct:]]|[[:space:]]", "_",
                       paste0(dname))
   deData <-  RDBEScore::filterRDBESDataObject(data,
-                                              fieldsToFilter = "DEstratumName",
-                                              valuesToFilter = dname,
+                                              fieldsToFilter = c("DEstratumName","SLspeclistName"),
+                                              valuesToFilter = c(dname,paste0("WGRDBES-EST_TEST_1_",datasetName)),
                                               killOrphans = T)
+  # the following should be deleted when #253 issue solved
+  deData$IS<-deData$IS[SLid %in% deData$SL$SLid,]
+
   # restricts species list
-  deData$SL<-deData$SL[grepl(deData$SL$SLspeclistName, pat=dname)]
+  #deData$SL<-deData$SL[grepl(deData$SL$SLspeclistName, pat=dname)]
 
   assign(datasetName, deData)
   do.call(eval(parse(text="usethis::use_data")),

From 513b1f621bf6b6861df7bf97f826656ca357df9f Mon Sep 17 00:00:00 2001
From: nmprista <31890653+nmprista@users.noreply.github.com>
Date: Fri, 17 Oct 2025 16:12:46 +0200
Subject: [PATCH 08/87] updated data

---
 data/Pckg_SDAResources_agsrs_H1.rda           | Bin 18132 -> 18067 bytes
 data/Pckg_SDAResources_agstrat_H1.rda         | Bin 18345 -> 18300 bytes
 data/Pckg_SDAResources_algebra_H1.rda         | Bin 13707 -> 13687 bytes
 data/Pckg_SDAResources_coots_H1.rda           | Bin 18120 -> 18060 bytes
 .../Pckg_SDAResources_coots_multistage_H1.rda | Bin 18478 -> 18407 bytes
 data/Pckg_SDAResources_gpa_H1.rda             | Bin 6811 -> 6789 bytes
 data/Pckg_SDAResources_schools_H1.rda         | Bin 11436 -> 11427 bytes
 data/Pckg_survey_apiclus1_H1.rda              | Bin 13736 -> 13718 bytes
 data/Pckg_survey_apiclus2_H1.rda              | Bin 10333 -> 10333 bytes
 data/Pckg_survey_apiclus2_v2_H1.rda           | Bin 11622 -> 11599 bytes
 data/Pckg_survey_apistrat_H1.rda              | Bin 12594 -> 12516 bytes
 11 files changed, 0 insertions(+), 0 deletions(-)

diff --git a/data/Pckg_SDAResources_agsrs_H1.rda b/data/Pckg_SDAResources_agsrs_H1.rda
index 70ae40a0fd86e8abf3e385b0aea737f62b91dfd1..02f662c081f679e30dd0cd25a1a9b69861d2e0c0 100644
GIT binary patch
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diff --git a/data/Pckg_SDAResources_gpa_H1.rda b/data/Pckg_SDAResources_gpa_H1.rda
index 1687bc0cdd5e9bda0869da6cca1a4baaba309fcd..da727145fd213932a1c4625bb40f64f6512ec3d9 100644
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From e6ee54ef6bea99f3c68f56024fb3a2a10f44f27a Mon Sep 17 00:00:00 2001
From: nmprista <31890653+nmprista@users.noreply.github.com>
Date: Fri, 17 Oct 2025 16:13:40 +0200
Subject: [PATCH 09/87] updates vignettes

valuesToFilter now download independent
---
 vignettes/v02b-Generating-zeros-for-species-not-observed.Rmd    | 2 +-
 ...v02c-Generating-NAs-for-species-not-targeted-by-sampling.Rmd | 2 +-
 2 files changed, 2 insertions(+), 2 deletions(-)

diff --git a/vignettes/v02b-Generating-zeros-for-species-not-observed.Rmd b/vignettes/v02b-Generating-zeros-for-species-not-observed.Rmd
index d236f23..da06c49 100644
--- a/vignettes/v02b-Generating-zeros-for-species-not-observed.Rmd
+++ b/vignettes/v02b-Generating-zeros-for-species-not-observed.Rmd
@@ -34,7 +34,7 @@ data(Pckg_survey_apistrat_H1)
 myH1DataObject1 <- Pckg_survey_apistrat_H1
 myH1DataObject1$SL<-myH1DataObject1$SL[grepl(myH1DataObject1$SL$SLspeclistName, pat="Pckg_survey_apistrat_H1"),]
 #myH1DataObject1<-filterAndTidyRDBESDataObject(myH1DataObject1, fieldsToFilter="FOid",valuesToFilter=70849, killOrphans = TRUE)
-myH1DataObject1<-filterRDBESDataObject(myH1DataObject1, fieldsToFilter="SSid",valuesToFilter=227694, killOrphans = TRUE)
+myH1DataObject1<-filterRDBESDataObject(myH1DataObject1, fieldsToFilter="SSid",valuesToFilter=myH1DataObject1$SS$SSid[1], killOrphans = TRUE)
 # check it is a valid RDBESobject
 validateRDBESDataObject(myH1DataObject1)
 ```
diff --git a/vignettes/v02c-Generating-NAs-for-species-not-targeted-by-sampling.Rmd b/vignettes/v02c-Generating-NAs-for-species-not-targeted-by-sampling.Rmd
index a0a063f..afa3e8a 100644
--- a/vignettes/v02c-Generating-NAs-for-species-not-targeted-by-sampling.Rmd
+++ b/vignettes/v02c-Generating-NAs-for-species-not-targeted-by-sampling.Rmd
@@ -33,7 +33,7 @@ data(Pckg_survey_apistrat_H1)
 myH1DataObject1 <- Pckg_survey_apistrat_H1
 myH1DataObject1$SL<-myH1DataObject1$SL[grepl(myH1DataObject1$SL$SLspeclistName, pat="Pckg_survey_apistrat_H1"),]
 #myH1DataObject1<-filterAndTidyRDBESDataObject(myH1DataObject1, fieldsToFilter="FOid",valuesToFilter=70849, killOrphans = TRUE)
-myH1DataObject1<-filterRDBESDataObject(myH1DataObject1, fieldsToFilter="SSid",valuesToFilter=227694, killOrphans = TRUE)
+myH1DataObject1<-filterRDBESDataObject(myH1DataObject1, fieldsToFilter="SSid",valuesToFilter=myH1DataObject1$SS$SSid[1], killOrphans = TRUE)
 # check it is a valid RDBESobject
 validateRDBESDataObject(myH1DataObject1)
 ```

From 264960ced14103edad9b913d88bf5b1fc84cfac7 Mon Sep 17 00:00:00 2001
From: nmprista <31890653+nmprista@users.noreply.github.com>
Date: Fri, 17 Oct 2025 16:21:26 +0200
Subject: [PATCH 10/87] Rds updated

---
 man/Pckg_SDAResources_agsrs_H1.Rd            | 52 ++++++++++++++++++++
 man/Pckg_SDAResources_algebra_H1.Rd          | 45 +++++++++++++++++
 man/Pckg_SDAResources_coots_H1.Rd            | 46 +++++++++++++++++
 man/Pckg_SDAResources_coots_multistage_H1.Rd | 47 ++++++++++++++++++
 man/Pckg_SDAResources_gpa_H1.Rd              | 44 +++++++++++++++++
 man/Pckg_SDAResources_schools_H1.Rd          | 43 ++++++++++++++++
 man/Pckg_survey_apiclus1_H1.Rd               | 40 +++++++++++++++
 man/Pckg_survey_apiclus2_v2_H1.Rd            | 41 +++++++++++++++
 man/lowerTblData.Rd                          |  4 ++
 man/shrimps.Rd                               | 38 --------------
 man/shrimpsStrat.Rd                          | 40 ---------------
 11 files changed, 362 insertions(+), 78 deletions(-)
 create mode 100644 man/Pckg_SDAResources_agsrs_H1.Rd
 create mode 100644 man/Pckg_SDAResources_algebra_H1.Rd
 create mode 100644 man/Pckg_SDAResources_coots_H1.Rd
 create mode 100644 man/Pckg_SDAResources_coots_multistage_H1.Rd
 create mode 100644 man/Pckg_SDAResources_gpa_H1.Rd
 create mode 100644 man/Pckg_SDAResources_schools_H1.Rd
 create mode 100644 man/Pckg_survey_apiclus1_H1.Rd
 create mode 100644 man/Pckg_survey_apiclus2_v2_H1.Rd
 delete mode 100644 man/shrimps.Rd
 delete mode 100644 man/shrimpsStrat.Rd

diff --git a/man/Pckg_SDAResources_agsrs_H1.Rd b/man/Pckg_SDAResources_agsrs_H1.Rd
new file mode 100644
index 0000000..8864fec
--- /dev/null
+++ b/man/Pckg_SDAResources_agsrs_H1.Rd
@@ -0,0 +1,52 @@
+% Generated by roxygen2: do not edit by hand
+% Please edit documentation in R/data.R
+\docType{data}
+\name{Pckg_SDAResources_agsrs_H1}
+\alias{Pckg_SDAResources_agsrs_H1}
+\title{A RDBESDataObject converted from package SDAResources dataset agsrs}
+\format{
+A list containing entries required for H1 RDBES data:
+\describe{
+\item{DE}{the Design data table. Contains dummy values with exception of
+Design-Variables in VS that match the book}
+\item{SD}{the Sampling Details data table. Contains dummy values}
+\item{VS}{the Vessel Selection data table. Contains core information of
+data(agsrs), VSnumberSampled and VSnumberTotal set according to agsrs
+and book pop values, VSunitName is set to a combination of original
+agsrs$county, agsrs$state, agsrs$region and row numbers}
+\item{FT}{the Fishing Trip data table. Contains dummy values}
+\item{FO}{the Fishing Operation data table. Contains dummy values}
+\item{SS}{the Species Selection data table. Contains dummy values}
+\item{SA}{the Sample data table. Contains the variable measured
+agsrs$acres92 in SAtotalWeightMeasured, SAsampleWeightMeasured and
+SAconversionFactorMeasLive set to 1, and the domain information,
+coded in SAarea}
+\item{FM}{the Frequency Measure data table. Not provided}
+\item{BV}{the Biological Variable data table. Not provided}
+\item{VD}{the Vessel Details data table. Subset to the essential rows}
+\item{SL}{the Species List data table. Subset to the essential rows}
+\item{IS}{the Individual Species table}
+}
+}
+\source{
+\url{https://CRAN.R-project.org/package=SDAResources}
+}
+\usage{
+Pckg_SDAResources_agsrs_H1
+}
+\description{
+This data set is derived from the data(agsrs) used in Lohr examples 2.6, 2.7
+and 2.11 of SDA book. Information required for example 4.8
+(domain estimation) is also added to SA (farmcat <=> SAarea).
+VSnumberSampled and VSnumberTotal set according to agsrs and book pop
+values. VSunitName is set to a combination of original agsrs$county,
+agsrs$state, agsrs$region and row numbers. Table SA contains the variable
+measured agsrs$acres92 in SAtotalWeightMeasured, SAsampleWeightMeasured and
+SAconversionFactorMeasLive set to 1. Table SA also contains the domain
+information, coded in SAarea. Table DE, SD, FT and FO are for the most
+dummy tables inserted to meet RDBES model requirements to be aggregated
+during estimation tests. Values of mandatory fields have dummy values with
+exception of Design-Variables in VS that match the book. BV, FM, CL, and CE
+are not provided. SL and VD are subset to the essential rows.
+}
+\keyword{datasets}
diff --git a/man/Pckg_SDAResources_algebra_H1.Rd b/man/Pckg_SDAResources_algebra_H1.Rd
new file mode 100644
index 0000000..fe13549
--- /dev/null
+++ b/man/Pckg_SDAResources_algebra_H1.Rd
@@ -0,0 +1,45 @@
+% Generated by roxygen2: do not edit by hand
+% Please edit documentation in R/data.R
+\docType{data}
+\name{Pckg_SDAResources_algebra_H1}
+\alias{Pckg_SDAResources_algebra_H1}
+\title{A RDBESDataObject converted from package SDAResources dataset algebra}
+\format{
+A list containing entries required for H1 RDBES data:
+\describe{
+\item{DE}{the Design data table. Contains 1 DE row with
+DEstratumName == "Pckg_SDAResources_algebra_H1"}
+\item{SD}{the Sampling Details data table. Contains 1 child SD row}
+\item{VS}{the Vessel Selection data table. Contains 299 child rows
+(the 299 students observed), each associated to its cluster (class),
+VSnumberTotalClusters is 187, VSnumberSampledClusters is 12,
+VSnumberTotal is Missing}
+\item{FT}{the Fishing Trip data table. Just 1:1 links to the final
+data (in SA)}
+\item{FO}{the Fishing Operation data table. Just 1:1 links to the final
+data (in SA)}
+\item{SS}{the Species Selection data table. Just 1:1 links to the final
+data (in SA)}
+\item{SA}{the Sample data table. Each score is a SAsampleWeightMeasured}
+\item{FM}{the Frequency Measure data table}
+\item{BV}{the Biological Variable data table}
+\item{VD}{the Vessel Details data table}
+\item{SL}{the Species List data table}
+\item{IS}{the Individual Species table}
+}
+}
+\source{
+\url{https://CRAN.R-project.org/package=SDAResources}
+}
+\usage{
+Pckg_SDAResources_algebra_H1
+}
+\description{
+This data set is derived from a fictional data for an SRS of 12 algebra
+classes in a city, from a population of 187 classes. The design is 1-stage
+cluster sampling with clusters of unequal sizes. Clusters are classes (class).
+Clusters (psu) are unequal sized (Mi). In each cluster, all students are
+selected (ssus, nrows). The total number of psus is known (187). The target
+variable is score.
+}
+\keyword{datasets}
diff --git a/man/Pckg_SDAResources_coots_H1.Rd b/man/Pckg_SDAResources_coots_H1.Rd
new file mode 100644
index 0000000..0769705
--- /dev/null
+++ b/man/Pckg_SDAResources_coots_H1.Rd
@@ -0,0 +1,46 @@
+% Generated by roxygen2: do not edit by hand
+% Please edit documentation in R/data.R
+\docType{data}
+\name{Pckg_SDAResources_coots_H1}
+\alias{Pckg_SDAResources_coots_H1}
+\title{A RDBESDataObject converted from package SDAResources dataset coots}
+\format{
+A list containing entries required for H1 RDBES data:
+\describe{
+\item{DE}{the Design data table. Contains 1 DE row with
+DEstratumName == "Pckg_SDAResources_coots_H1"}
+\item{SD}{the Sampling Details data table. Contains 1 child SD row}
+\item{VS}{the Vessel Selection data table. Contains 368 child rows
+(the 368 eggs/psus observed), each associated to its cluster (clutch),
+VSnumberTotalClusters is not known, VSnumberTotal is csize}
+\item{FT}{the Fishing Trip data table. Just 1:1 links to the final data
+(in SA)}
+\item{FO}{the Fishing Operation data table. Just 1:1 links to the final
+data (in SA)}
+\item{SS}{the Species Selection data table. Just 1:1 links to the
+final data (in SA)}
+\item{SA}{the Sample data table. Each volume is a SAsampleWeightMeasured.
+ATT volumes are *100000000 to meet type requirement (integer)}
+\item{FM}{the Frequency Measure data table}
+\item{BV}{the Biological Variable data table}
+\item{VD}{the Vessel Details data table}
+\item{SL}{the Species List data table}
+\item{IS}{the Individual Species table}
+}
+}
+\source{
+\url{https://CRAN.R-project.org/package=SDAResources}
+}
+\usage{
+Pckg_SDAResources_coots_H1
+}
+\description{
+This data set is derived from the data(coots). The design is 2-stage cluster
+sampling with clusters of unequal sizes and Npsu not known. Clusters are
+clutches of eggs (nests) with at least 2 eggs. In each cluster, the volume
+of two eggs is measured. Clusters (psu) are unequal sized. In each cluster,
+2 eggs are selected (ssus) and measured. The total number of psus is not
+known (a drawback in this example). It is assumed very large (fpc negligible).
+The target variable is volume (others are available).
+}
+\keyword{datasets}
diff --git a/man/Pckg_SDAResources_coots_multistage_H1.Rd b/man/Pckg_SDAResources_coots_multistage_H1.Rd
new file mode 100644
index 0000000..002d9fa
--- /dev/null
+++ b/man/Pckg_SDAResources_coots_multistage_H1.Rd
@@ -0,0 +1,47 @@
+% Generated by roxygen2: do not edit by hand
+% Please edit documentation in R/data.R
+\docType{data}
+\name{Pckg_SDAResources_coots_multistage_H1}
+\alias{Pckg_SDAResources_coots_multistage_H1}
+\title{A Multi-stage RDBESDataObject from package SDAResources dataset coots}
+\format{
+A list containing entries required for H1 RDBES data:
+\describe{
+\item{DE}{the Design data table. Contains 1 DE row with
+DEstratumName == "Pckg_SDAResources_coots_H1"}
+\item{SD}{the Sampling Details data table. Contains 1 child SD row}
+\item{VS}{the Vessel Selection data table. Contains 184 child rows
+(the 184 clutches/psus observed), each associated to its cluster (clutch),
+VSnumberTotal is not known, VSnumberSampled is 184}
+\item{FT}{the Fishing Trip data table. Contains 368 child rows
+(the 368 eggs/ssus measured), each associated to its vessel (clutch),
+FTnumbersampled is 2, FTnumberTotal is csize}
+\item{FO}{the Fishing Operation data table. Just 1:1 links to the final
+data (in SA)}
+\item{SS}{the Species Selection data table. Just 1:1 links to the final
+data (in SA)}
+\item{SA}{the Sample data table. Each volume is a SAsampleWeightMeasured.
+ATT volumes are *100000000 to meet type requirement (integer)}
+\item{FM}{the Frequency Measure data table}
+\item{BV}{the Biological Variable data table}
+\item{VD}{the Vessel Details data table}
+\item{SL}{the Species List data table}
+\item{IS}{the Individual Species table}
+}
+}
+\source{
+\url{https://CRAN.R-project.org/package=SDAResources}
+}
+\usage{
+Pckg_SDAResources_coots_multistage_H1
+}
+\description{
+This data set is derived from the data(coots). The design is 2-stage cluster
+sampling with clusters of unequal sizes and Npsu not known. Clusters are
+clutches of eggs (nests) with at least 2 eggs. In each cluster, the volume
+of two eggs is measured. Clusters (psu) are unequal sized. In each cluster,
+2 eggs are selected (ssus) and measured. The total number of psus is not
+known (a drawback in this example). It is assumed very large (fpc negligible).
+The target variable is volume.
+}
+\keyword{datasets}
diff --git a/man/Pckg_SDAResources_gpa_H1.Rd b/man/Pckg_SDAResources_gpa_H1.Rd
new file mode 100644
index 0000000..66780da
--- /dev/null
+++ b/man/Pckg_SDAResources_gpa_H1.Rd
@@ -0,0 +1,44 @@
+% Generated by roxygen2: do not edit by hand
+% Please edit documentation in R/data.R
+\docType{data}
+\name{Pckg_SDAResources_gpa_H1}
+\alias{Pckg_SDAResources_gpa_H1}
+\title{A RDBESDataObject converted from package SDAResources dataset gpa}
+\format{
+A list containing entries required for H1 RDBES data:
+\describe{
+\item{DE}{the Design data table. Contains 1 DE row with
+DEstratumName == "Pckg_SDAResources_gpa_H1"}
+\item{SD}{the Sampling Details data table. Contains 1 child SD row}
+\item{VS}{the Vessel Selection data table. Contains 20 child rows
+(the 20 observations), each associated to its cluster (suite),
+VSnumberTotalClusters is 100, VSnumberTotal is 4 because all elements in
+cluster are sampled}
+\item{FT}{the Fishing Trip data table. Just 1:1 links to the final data
+(in SA)}
+\item{FO}{the Fishing Operation data table. Just 1:1 links to the final
+data (in SA)}
+\item{SS}{the Species Selection data table. Just 1:1 links to the final
+data (in SA)}
+\item{SA}{the Sample data table. Each gpa score is a
+SAsampleWeightMeasured. ATT gpa scores are *100 to meet type requirement
+(integer)}
+\item{FM}{the Frequency Measure data table}
+\item{BV}{the Biological Variable data table}
+\item{VD}{the Vessel Details data table}
+\item{SL}{the Species List data table}
+\item{IS}{the Individual Species table}
+}
+}
+\source{
+\url{https://CRAN.R-project.org/package=SDAResources}
+}
+\usage{
+Pckg_SDAResources_gpa_H1
+}
+\description{
+This data set is derived from the data(gpa). The design is 1-stage cluster
+sampling with clusters of equal sizes. Each cluster (suite) has 4 elements
+with the same weight. The target variable is gpa.
+}
+\keyword{datasets}
diff --git a/man/Pckg_SDAResources_schools_H1.Rd b/man/Pckg_SDAResources_schools_H1.Rd
new file mode 100644
index 0000000..14e205d
--- /dev/null
+++ b/man/Pckg_SDAResources_schools_H1.Rd
@@ -0,0 +1,43 @@
+% Generated by roxygen2: do not edit by hand
+% Please edit documentation in R/data.R
+\docType{data}
+\name{Pckg_SDAResources_schools_H1}
+\alias{Pckg_SDAResources_schools_H1}
+\title{A RDBESDataObject converted from package SDAResources dataset schools}
+\format{
+A list containing entries required for H1 RDBES data:
+\describe{
+\item{DE}{the Design data table. Contains 1 DE row with
+DEstratumName == "Pckg_SDAResources_schools_H1"}
+\item{SD}{the Sampling Details data table. Contains 1 child SD row}
+\item{VS}{the Vessel Selection data table. Contains 200 child rows
+(the 200 students observed), each associated to its cluster (schoolid),
+VSnumberTotalClusters is 100, VSnumberTotal is Mi}
+\item{FT}{the Fishing Trip data table. Just 1:1 links to the final data
+(in SA)}
+\item{FO}{the Fishing Operation data table. Just 1:1 links to the
+final data (in SA)}
+\item{SS}{the Species Selection data table. Just 1:1 links to the
+final data (in SA)}
+\item{SA}{the Sample data table. Each volume is a SAsampleWeightMeasured}
+\item{FM}{the Frequency Measure data table}
+\item{BV}{the Biological Variable data table}
+\item{VD}{the Vessel Details data table}
+\item{SL}{the Species List data table}
+\item{IS}{the Individual Species table}
+}
+}
+\source{
+\url{https://CRAN.R-project.org/package=SDAResources}
+}
+\usage{
+Pckg_SDAResources_schools_H1
+}
+\description{
+This data set is derived from the data(schools). The design is 2-stage cluster
+sampling with clusters of unequal sizes and Npsu not known. Clusters are
+schools (schoolid). Clusters (psu) are unequal sized (Mi). In each cluster,
+20 students are selected (ssus) and measured (nrows). The total number of
+psus is known (75). The target variable is mathlevel.
+}
+\keyword{datasets}
diff --git a/man/Pckg_survey_apiclus1_H1.Rd b/man/Pckg_survey_apiclus1_H1.Rd
new file mode 100644
index 0000000..0d6cd8c
--- /dev/null
+++ b/man/Pckg_survey_apiclus1_H1.Rd
@@ -0,0 +1,40 @@
+% Generated by roxygen2: do not edit by hand
+% Please edit documentation in R/data.R
+\docType{data}
+\name{Pckg_survey_apiclus1_H1}
+\alias{Pckg_survey_apiclus1_H1}
+\title{A RDBESDataObject converted from package survey dataset apiclus1}
+\format{
+A list containing entries required for H1 RDBES data:
+\describe{
+\item{DE}{the Design data table. Contains 1 DE row with DEstratumName == "Pckg_SDAResources_apiclus1_v2_H1"}
+\item{SD}{the Sampling Details data table. Contains 1 child SD row}
+\item{VS}{the Vessel Selection data table. Contains 183 child rows (the 186 schools finally observed), each associated to its cluster (dname), VSnumberTotalClusters is 757, VSnumberTotal is the number of schools in the cluster (census), calibrated weights are provided as 1/pw in VSinclusionProbCluster}
+\item{FT}{the Fishing Trip data table. Just 1:1 links to the final data (in SA)}
+\item{FO}{the Fishing Operation data table. Just 1:1 links to the final data (in SA)}
+\item{SS}{the Species Selection data table. Just 1:1 links to the final data (in SA)}
+\item{SA}{the Sample data table. SAsampleWeightMeasured is enroll}
+\item{FM}{the Frequency Measure data table}
+\item{BV}{the Biological Variable data table}
+\item{VD}{the Vessel Details data table}
+\item{SL}{the Species List data table}
+\item{IS}{the Individual Species table}
+}
+}
+\source{
+\url{https://CRAN.R-project.org/package=survey}
+}
+\usage{
+Pckg_survey_apiclus1_H1
+}
+\description{
+This data set is derived from the Academic Performance Index computed for all
+California schools based on standardized testing of students. The original
+data sets contain information for all schools with at least 100 students and
+for various probability samples of the data. The design is 1-stage cluster
+sampling with clusters of unequal sizes. An SRS of 15 districts is selected
+(psus) from the 757 districts in the population. All schools within district
+are selected (ssus). The weights (pw) do not match 757/15 probably because
+they have been calibrated. The target variable is enroll.
+}
+\keyword{datasets}
diff --git a/man/Pckg_survey_apiclus2_v2_H1.Rd b/man/Pckg_survey_apiclus2_v2_H1.Rd
new file mode 100644
index 0000000..fec0735
--- /dev/null
+++ b/man/Pckg_survey_apiclus2_v2_H1.Rd
@@ -0,0 +1,41 @@
+% Generated by roxygen2: do not edit by hand
+% Please edit documentation in R/data.R
+\docType{data}
+\name{Pckg_survey_apiclus2_v2_H1}
+\alias{Pckg_survey_apiclus2_v2_H1}
+\title{A Clustered RDBESDataObject converted from package survey dataset apiclus2}
+\format{
+A list containing entries required for H1 RDBES data:
+\describe{
+\item{DE}{the Design data table. Contains 1 DE row with DEstratumName == "Pckg_SDAResources_apiclus2_v2_H1"}
+\item{SD}{the Sampling Details data table. Contains 1 child SD row}
+\item{VS}{the Vessel Selection data table. Contains 126 child rows (the 126 schools finally observed), each associated to its cluster (dname), VSnumberTotalClusters is 757, VSnumberTotal is 1...5 schools sampled}
+\item{FT}{the Fishing Trip data table. Just 1:1 links to the final data (in SA)}
+\item{FO}{the Fishing Operation data table. Just 1:1 links to the final data (in SA)}
+\item{SS}{the Species Selection data table. Just 1:1 links to the final data (in SA)}
+\item{SA}{the Sample data table. SAsampleWeightMeasured is enroll (note the 4 NAs)}
+\item{FM}{the Frequency Measure data table}
+\item{BV}{the Biological Variable data table}
+\item{VD}{the Vessel Details data table}
+\item{SL}{the Species List data table}
+\item{IS}{the Individual Species table}
+}
+}
+\source{
+\url{https://CRAN.R-project.org/package=survey}
+}
+\usage{
+Pckg_survey_apiclus2_v2_H1
+}
+\description{
+This data set is derived from the Academic Performance Index computed for all
+California schools based on standardized testing of students. The original
+data sets contain information for all schools with at least 100 students and
+for various probability samples of the data. The design is 2-stage cluster
+sampling with clusters of unequal sizes. An SRS of 40 districts is selected
+(psus) from the 757 districts in the population and then up to 5 schools (min
+\enumerate{
+\item were selected from each district (ssus). The target variable is enroll - note that it contains 4 NA values.
+}
+}
+\keyword{datasets}
diff --git a/man/lowerTblData.Rd b/man/lowerTblData.Rd
index 20673c4..b022b74 100644
--- a/man/lowerTblData.Rd
+++ b/man/lowerTblData.Rd
@@ -16,6 +16,10 @@ lowerTblData(field, values, tbls, level, verbose = FALSE, path_order = NULL)
 \item{level}{A character string specifying the name of the target lower level table.}
 
 \item{verbose}{A logical value indicating whether to print intermediate levels during recursion.}
+
+\item{path_order}{Internal: character vector tracking the traversal path of IDs during
+recursion to preserve a stable column order in the returned result. Users should not
+normally set this; it is maintained by recursive calls (default NULL).}
 }
 \value{
 A data frame containing the rows of the target lower level table that are associated with
diff --git a/man/shrimps.Rd b/man/shrimps.Rd
deleted file mode 100644
index e583308..0000000
--- a/man/shrimps.Rd
+++ /dev/null
@@ -1,38 +0,0 @@
-% Generated by roxygen2: do not edit by hand
-% Please edit documentation in R/data.R
-\docType{data}
-\name{shrimps}
-\alias{shrimps}
-\title{One quarter of sample data from swedish shrimp landings of the
-SWE_OTB_CRU_32-69_0_0 fishery}
-\format{
-A data frame with 10 rows and 95 variables:
-\itemize{
-\item DEsamplingScheme - Sampling Scheme
-\item DEyear - Year of data collection
-\item DEstratumName - Fishery code
-\item DEhierarchyCorrect - Design Variable of RDBES. More details in RDBES documentation
-\item DEhierarchy - Design Variable of RDBES. More details in RDBES documentation
-\item DEsampled - Design Variable of RDBES. More details in RDBES documentation
-\item DEreasonNotSampled - Design Variable of RDBES. More details in RDBES documentation
-\item SDcountry - Country that collected the data
-\item SDinstitution - Institution that collected the data
-\item su1, su2, su3, su4, su5 - sampling units of RDBES. More details in RDBES documentation
-\item XXXnumberSampled, ... - Design Variables of RDBES. More details in RDBES documentation
-\item targetValue - estimate of weight landed in each haul (in kg)
-\item plus XX other columns
-}
-}
-\source{
-Nuno Prista @ SLU Aqua, 2022
-}
-\usage{
-shrimps
-}
-\description{
-A dataset of rdbesEstimObj type containing simplified haul-level
-samples (rows) of shrimp landings (targetValue, in kg) observed onboard using
-H1 of RDBES with UPWOR on vessels. Data is provided for developing/testing
-purposes only.
-}
-\keyword{datasets}
diff --git a/man/shrimpsStrat.Rd b/man/shrimpsStrat.Rd
deleted file mode 100644
index 0993a1c..0000000
--- a/man/shrimpsStrat.Rd
+++ /dev/null
@@ -1,40 +0,0 @@
-% Generated by roxygen2: do not edit by hand
-% Please edit documentation in R/data.R
-\docType{data}
-\name{shrimpsStrat}
-\alias{shrimpsStrat}
-\title{One quarter of sample data from swedish shrimp catches of the
-SWE_OTB_CRU_32-69_0_0 fishery}
-\format{
-A data frame with 10 rows and 95 variables:
-\itemize{
-\item DEsamplingScheme - Sampling Scheme
-\item DEyear - Year of data collection
-\item DEstratumName - Fishery code
-\item DEhierarchyCorrect - Design Variable of RDBES. More details in RDBES documentation
-\item DEhierarchy - Design Variable of RDBES. More details in RDBES documentation
-\item DEsampled - Design Variable of RDBES. More details in RDBES documentation
-\item DEreasonNotSampled - Design Variable of RDBES. More details in RDBES documentation
-\item SDcountry - Country that collected the data
-\item SDinstitution - Institution that collected the data
-\item su1, su2, su3, su4, su5 - sampling units of RDBES. More details in RDBES documentation
-\item XXXnumberSampled, ... - Design Variables of RDBES. More details in RDBES documentation
-\item su5stratumName - sieve fraction
-\item targetValue - estimate of weight fraction in each haul (in kg)
-\item plus XX other columns
-}
-}
-\source{
-Nuno Prista @ SLU Aqua, 2022
-}
-\usage{
-shrimpsStrat
-}
-\description{
-A dataset of rdbesEstimObj type containing simplified haul-level
-samples (rows) of shrimp catches (targetValue, in kg) observed onboard using
-H1 of RDBES with UPWOR on vessels. Catches are divided into three strata (91, 92, 93_94)
-that correspond to sorting sieves used onboard. Data is provided for developing/testing
-purposes only.
-}
-\keyword{datasets}

From cc1781dc7528b306ad6525ef230fabc4c2c23a3b Mon Sep 17 00:00:00 2001
From: karolinamg <mollagazik@gmail.com>
Date: Sun, 19 Oct 2025 09:53:44 +0200
Subject: [PATCH 11/87] Update ratio est

---
 R/doEstimationRatio.R | 88 ++++++++++++++++++++++++++++++++-----------
 1 file changed, 67 insertions(+), 21 deletions(-)

diff --git a/R/doEstimationRatio.R b/R/doEstimationRatio.R
index 6449b82..ce72c39 100644
--- a/R/doEstimationRatio.R
+++ b/R/doEstimationRatio.R
@@ -5,8 +5,8 @@
 #' @param RDBESDataObj A validated RDBESDataObject containing hierarchical sampling and biological data. Must include appropriate tables (e.g., CL, CE, SA, FM, or BV) depending on estimation requirements.
 #' @param targetValue A character string specifying the type of composition to estimate. Options are "LengthComp" or "AgeComp".
 #' @param raiseVar The variable used to construct the ratio.
-#' @param classUnits Units of the class intervals for length or age, typically "mm" for millimeters or "cm" for centimeters. Used in defining class intervals.
-#' @param classBreaks A numeric vector of three values: minimum value, maximum value, and class width (e.g., c(100, 300, 10)). Defines the class intervals for grouping lengths or ages.
+#' @param classUnits Units of the class intervals for length or age, typically "mm" for millimeters or "cm" for centimeters. Used in defining class intervals. In lower hierarchy A, the argument is used to check if that the length classes provided. For lower hierarchy B, it transforms the lengths. Codes: https://vocab.ices.dk/?ref=1608
+#' @param classBreaks A numeric vector of three values: minimum value, maximum value, and class width (e.g., c(100, 300, 10)). Defines the class intervals for grouping lengths. In lower hierarchy A, the argument is used to check if that the length classes provided. For lower hierarchy B, it transforms the lengths.
 #' @param LWparam A numeric vector of length two specifying parameters (a, b) for the weight-length relationship (W = a * L^b). Used if no direct weights are available but lengths are provided.
 #' @param lowerAux A numeric or character vector referencing a variable in the SA table used as an auxiliary variable for ratio estimation (e.g., sample weights, sub-sample expansion factors).
 #' @param verbose Logical; if TRUE, detailed messages are printed during processing.
@@ -36,7 +36,7 @@ doEstimationRatio <- function(RDBESDataObj,
                               classUnits = "mm",
                               classBreaks = c(100, 300, 10), # cut
                               LWparam = NULL, # vector of two values
-                              lowerAux = NULL, # you can use a strongly correlated value present in your data for the estimation of the values of interest
+                              lowerAux = NULL, # should we keep this ?The aux var is now included as a field in the RDBES
                               verbose = FALSE){
 RDBESDataObj <- myFilteredObject
 targetValue <- "AgeComp"
@@ -50,14 +50,15 @@ targetValue <- "AgeComp"
   #                                           valuesToFilter = myValues,
   #                                           strict = FALSE, # this is to skip the validation function
   #                                           killOrphans = TRUE)
-  # Check we have a valid RDBESEstObject before doing anything else
+
 
   classUnits = "mm"
-  classBreaks = c(100, 300, 10)
+  classBreaks = c(10, 100, 10)
 
 
 # Checks ------------------------------------------------------------------
-
+  # Check we have a valid RDBESEstObject before doing anything else
+  # Need that because the selection is by column name
   RDBEScore::validateRDBESDataObject(RDBESDataObj, verbose = FALSE)
 
   # Unique upper hierarchy
@@ -89,11 +90,51 @@ targetValue <- "AgeComp"
     }
   }
 
-  # TODO (to be developed) match with pop (Landings or Effort)
-  # RDBESEstRatioObj <- RDBESDataObj[c("CL", "CE",  RDBEScore::getTablesInRDBESHierarchy(DEhierarchy))]
+  # Add if object has only one species
+
+  # if(length(unique(myFilteredObject$SA$SAspeCode)) > 1){
+  #     stop("Multiple species raising not yet implemented")
+  # }
+
+  # Function to check consistency between the user input and the FM table for
+  # length raising
+  # TODO Should this be moved to utils?
+
+  checkLC <- function(fm, classUnits, classBreaks) {
+    # https://vocab.ices.dk/?ref=1608
+    vocabUnits <-   c("mm", "25mm", "cm", "5cm", "scm", "smm")
+    fmUnits <- unique(fm$FMaccuracy)
+    # Check user input validity
+    if (!classUnits %in% vocabUnits) {
+      stop(paste("Invalid classUnits:", classUnits,
+                 "\nMust be one of:", paste(vocabUnits, collapse = ", ")))
+    }
+
+    if (length(fmUnits) > 1) {
+      # Needs to break here
+      stop("Multiple class units found in data: ", paste(fmUnits, collapse = ", "))
+    }
+
+    # Compare user input with data
+    if (!classUnits %in% fmUnits) {
+      stop(paste("Mismatch between user-specified classUnits (", classUnits,
+                 ") and data units (", paste(fmUnits, collapse = ", "), ")."))
+    }
+
+    # Check classBreaks consistency
+    fmBreaks <- range(fm$FMclassMeas, na.rm = TRUE)
+    userRange <- range(seq(classBreaks[1], classBreaks[2], classBreaks[3]))
 
+    if (any(userRange != fmBreaks)) {
+      stop("classBreaks (", paste(userRange, collapse = "-"),
+              ") differ from observed data range (", paste(fmBreaks, collapse = "-"), ").")
+    }
 
+    message("Length class checks passed: Units and breaks are consistent.")
+  }
 
+  # TODO (to be developed) match with pop (Landings or Effort)
+  # RDBESEstRatioObj <- RDBESDataObj[c("CL", "CE",  RDBEScore::getTablesInRDBESHierarchy(DEhierarchy))]
 
 
 # raiseVar options --------------------------------------------------------
@@ -148,25 +189,30 @@ targetValue <- "AgeComp"
         # else stop
         stop("Nor an auxiliary variable nor lw params are provided. Not possible to produce the mean weight at length")
       }
-
-
       # Select only FM data for now - BV possibly used for ALK
       warning("If lower hierarchy A, only the FM table is used to calculate the numbers at length.")
 
       fm <- data.table::setDT(RDBESEstRatioObj$FM)
       sa <- data.table::setDT(RDBESEstRatioObj$SA)
-      fm <- fm[fm, unique(.SD), .SDcols = c("SAid", "FMid", "FMclassMeas", "FMnumAtUnit")]
-      sa <- sa[, unique(.SD), .SDcols = c("SAid", "SAlowHierarchy", "SAtotalWtMes" , "SAsampWtMes",  "SAnumTotal", "SAnumSamp", "SAauxVarValue", "SAauxVarUnit" )]
 
-      # need to identify current units and
-      u2mm <- c(mm = 1, cm = 10, m = 1000)
-      conv <- u2mm[[classUnits]]
-      vals <- fm$FMclassMeas / conv
+      # Need to check uniqueness of FM length type assess
+      if(length(unique(fm$FMtypeAssess)) > 1){
+        stop("The measurement type of the class needed for assessment (FMtypeAssess) needs to be unique")
+      }
 
-      brks <- seq(classBreaks[1], classBreaks[2], by = classBreaks[3])
+      # It should break here if there is no match
+      checkLC(
+        fm = fm,
+        classUnits = classUnits,
+        classBreaks = classBreaks
+      )
 
+      fm <- fm[fm, unique(.SD), .SDcols = c("SAid", "FMid", "FMclassMeas", "FMnumAtUnit", "FMaccuracy", "FMtypeAssess")]
+      sa <- sa[, unique(.SD), .SDcols = c("SAid", "SAlowHierarchy", "SAtotalWtMes" , "SAsampWtMes",  "SAnumTotal", "SAnumSamp", "SAauxVarValue", "SAauxVarUnit" )]
+
+      brks <- seq(classBreaks[1], classBreaks[2], by = classBreaks[3])
       fm[, LengthClass := cut(
-        vals,
+        FMclassMeas,
         breaks = brks,
         right = FALSE,             # [)
         include.lowest = TRUE,
@@ -298,12 +344,12 @@ targetValue <- "AgeComp"
 
 
 
-# Age composition ---------------------------------------------------------
+    # Age composition ---------------------------------------------------------
   }else if(targetValue == "AgeComp"){
 
 
 
-# LH C --------------------------------------------------------------------
+    # LH C --------------------------------------------------------------------
 
 
     if(unique(RDBESDataObj$SA$SAlowHierarchy) == "C"){
@@ -376,7 +422,7 @@ targetValue <- "AgeComp"
       # else stop
 
 
-# LH A --------------------------------------------------------------------
+      # LH A --------------------------------------------------------------------
 
 
     }else if(unique(RDBESDataObj$SA$SAlowHierarchy) == "A"){

From ec84e748984c9ac057e2b04be6b04a3d221a56dc Mon Sep 17 00:00:00 2001
From: karolinamg <mollagazik@gmail.com>
Date: Mon, 20 Oct 2025 14:05:42 +0200
Subject: [PATCH 12/87] Upd ratio

---
 R/doEstimationRatio.R | 35 ++++++++++++++++++++++++-----------
 1 file changed, 24 insertions(+), 11 deletions(-)

diff --git a/R/doEstimationRatio.R b/R/doEstimationRatio.R
index ce72c39..f728bc6 100644
--- a/R/doEstimationRatio.R
+++ b/R/doEstimationRatio.R
@@ -184,11 +184,12 @@ targetValue <- "AgeComp"
 
         stop("Not yet implemented")
 
-
       }else{
         # else stop
         stop("Nor an auxiliary variable nor lw params are provided. Not possible to produce the mean weight at length")
       }
+
+
       # Select only FM data for now - BV possibly used for ALK
       warning("If lower hierarchy A, only the FM table is used to calculate the numbers at length.")
 
@@ -220,11 +221,11 @@ targetValue <- "AgeComp"
       )]
 
       fm1 <- fm[
-        , .(FMNumbersAtLength = .N),
+        , .(FMNumbersAtLength = sum(FMnumAtUnit, na.rm = TRUE)),
         by = .(SAid, LengthClass)
       ][
-        # add total count per SAid
-        , FMTotCount := sum(FMNumbersAtLength), by = SAid
+        , FMTotCount := sum(FMNumbersAtLength, na.rm = TRUE),
+        by = SAid
       ]
 
       su <- merge(fm1, sa, by = c("SAid"))
@@ -256,10 +257,23 @@ targetValue <- "AgeComp"
 
 
       bv <- data.table::setDT(RDBESEstRatioObj$BV)
-      bv <- bv[, unique(.SD), .SDcols = c("SAid", "BVfishId", "BVtypeMeas", "BVvalueMeas")]
-      bv <- dcast(bv, ... ~ BVtypeMeas , value.var = c("BVvalueMeas"), drop = TRUE)
+      # bv <- bv[BVtypeMeas %in% "LengthTotal"]
+
+      lengthVar <- grep("(?i)length", unique(bv$BVtypeMeas), value = TRUE)
+
+      if(length(unique(lengthVar)) > 1){
+        stop("The length measurement type of the class needed for assessment (BVtypeAssess) needs to be unique")
+      }
+
+      sa <- data.table::setDT(RDBESEstRatioObj$SA)
+      sa <- sa[, unique(.SD), .SDcols = c("SAid", "SAlowHierarchy", "SAtotalWtMes" , "SAsampWtMes",  "SAnumTotal", "SAnumSamp", "SAauxVarValue", "SAauxVarUnit" )]
+      bv <- bv[, unique(.SD), .SDcols = c("SAid", "BVfishId", "BVtypeMeas", "BVvalueMeas", "BVtypeAssess")]
+
+      # bv[, BVLength := as.numeric(LengthTotal)]
+      bv_assess <- bv[BVtypeMeas %in% c(lengthVar, wcol),
+                      data.table::dcast(.SD, SAid + BVfishId ~ BVtypeMeas, value.var = "BVvalueMeas", drop = TRUE)
+      ]
       bv[, BVweight := as.numeric(get(wcol))]
-      bv[, LengthTotal := as.numeric(LengthTotal)]
       # TODO this probably needs to be an argument
       # or needs to be defined later on?
       bv$LengthClass <- floor(bv$LengthTotal/10) # TODO This needs to be defined by the user
@@ -280,14 +294,13 @@ targetValue <- "AgeComp"
       # bv1$BVLengthClassProp <- bv1$BVNumbersAtLength/bv1$TotCount
 
 
-      sa <- data.table::setDT(RDBESEstRatioObj$SA)
-      sa <- sa[, unique(.SD), .SDcols = c("SAid", "SAlowHierarchy", "SAtotalWtMes" , "SAsampWtMes",  "SAnumTotal", "SAnumSamp", "SAauxVarValue", "SAauxVarUnit" )] # Do not need the
+   # Do not need the
       # species, the filtering of the "strata" variables will be done before the estimation
       # To test
       sa[, SAauxVarValue  := as.numeric(SAauxVarValue )]
-      sa$SAauxVarValue <- 10
 
-      # TODO add check for subsampling
+
+
 
       su <- merge(bv1, sa, by = c("SAid"))
 

From 23cefd44c9e64dacc5342e87f9c3b72a0a704cfe Mon Sep 17 00:00:00 2001
From: karolinamg <mollagazik@gmail.com>
Date: Wed, 5 Nov 2025 00:43:07 +0100
Subject: [PATCH 13/87] changes ratio fun

---
 R/doEstimationRatio.R | 45 ++++++++++++++++---------------------------
 1 file changed, 17 insertions(+), 28 deletions(-)

diff --git a/R/doEstimationRatio.R b/R/doEstimationRatio.R
index f728bc6..d04f977 100644
--- a/R/doEstimationRatio.R
+++ b/R/doEstimationRatio.R
@@ -38,22 +38,6 @@ doEstimationRatio <- function(RDBESDataObj,
                               LWparam = NULL, # vector of two values
                               lowerAux = NULL, # should we keep this ?The aux var is now included as a field in the RDBES
                               verbose = FALSE){
-RDBESDataObj <- myFilteredObject
-targetValue <- "AgeComp"
-  raiseVar <- "Weight"
-  # H1 <- H1Example
-  #
-  # myFields <- c("SAlowHierarchy")
-  # myValues <- c("A")
-  # RDBESDataObj <- filterRDBESDataObject(H1,
-  #                                           fieldsToFilter = myFields,
-  #                                           valuesToFilter = myValues,
-  #                                           strict = FALSE, # this is to skip the validation function
-  #                                           killOrphans = TRUE)
-
-
-  classUnits = "mm"
-  classBreaks = c(10, 100, 10)
 
 
 # Checks ------------------------------------------------------------------
@@ -70,13 +54,15 @@ targetValue <- "AgeComp"
   }
 
   # Filter out NULL tables
-  RDBESEstRatioObj <- Filter(Negate(is.null),RDBESDataObj)
+  # RDBESEstRatioObj <- Filter(Negate(is.null),RDBESDataObj)
+  RDBESEstRatioObj <- Filter(Negate(is.null),myFilteredObject)
+
 
   # If no individual weight of fish in BV, then can't run raiseVar = Weight
   # because we don't have the weight of the subsample
   if(unique(RDBESEstRatioObj$SA$SAlowHierarchy) == "A") {
     weightVar <- grep("(?i)weight", unique(RDBESEstRatioObj$BV$BVtypeMeas), value = TRUE)
-    if (is.null(    weightVar) || length(weightVar) == 0 || all(is.na(weightVar))){
+    if (is.null(weightVar) || length(weightVar) == 0 || all(is.na(weightVar))){
       stop("no individual weight measured")
     }
   }
@@ -84,11 +70,11 @@ targetValue <- "AgeComp"
   # Does anything exist after SA?
   # Do we need that?
 
-  if(length(unique(names(RDBESEstRatioObj))) > 1){
-    if(!tail(names(RDBESEstRatioObj), n = 1) %in% c("FM", "BV")){
-      stop("No FM or BV tables provided")
-    }
-  }
+  # if(length(unique(names(RDBESEstRatioObj))) > 1){
+  #   if(!tail(names(RDBESEstRatioObj), n = 1) %in% c("FM", "BV")){
+  #     stop("No FM or BV tables provided")
+  #   }
+  # }
 
   # Add if object has only one species
 
@@ -144,13 +130,13 @@ targetValue <- "AgeComp"
   # the weight codes in the field BVtypeMeas
   # If there is only one present, this is used by default
   # If more than one are present, allow the user to choose
-  possibleValues  <- unique(RDBESDataObj$BV$BVtypeMeas)
+  possibleValues  <- unique(RDBESEstRatioObj$BV$BVtypeMeas)
   if(!raiseVar %in% possibleValues){
     if(raiseVar == "Weight"){
-      if(unique(RDBESDataObj$SA$SAlowHierarchy) == "B" ){
+      if(unique(RDBESEstRatioObj$SA$SAlowHierarchy) == "B" ){
         stop("Lower hierarchy B not implemented for weight")
       }else{
-        weightVar <- grep("(?i)weight", unique(RDBESDataObj$BV$BVtypeMeas), value = TRUE)
+        weightVar <- grep("(?i)weight", unique(RDBESEstRatioObj$BV$BVtypeMeas), value = TRUE)
         if (interactive()) {
           if(length(unique(weightVar)) > 1) {
             # Print a numbered menu and get user's selection
@@ -179,6 +165,7 @@ targetValue <- "AgeComp"
     if(unique(RDBESEstRatioObj$SA$SAlowHierarchy) %in% c("A", "B")){
 
       # TODO mean weight at length
+      # TODO this should not break if only the len comp is required
 
       if(!is.null(LWparam)){
 
@@ -190,6 +177,8 @@ targetValue <- "AgeComp"
       }
 
 
+
+
       # Select only FM data for now - BV possibly used for ALK
       warning("If lower hierarchy A, only the FM table is used to calculate the numbers at length.")
 
@@ -457,7 +446,7 @@ targetValue <- "AgeComp"
       ][
         # add total weight per SAid
         bv[, .(BVTotWeight = sum(BVweight, na.rm = TRUE)), by = FMid],
-        on = "SAid"
+        on = "FMid"
       ]
 
 
@@ -470,7 +459,7 @@ targetValue <- "AgeComp"
            .(FMid, SAid, FMnumAtUnit)]
       )
 
-      bv1 <- fm_len[bv1, on = "FMid"][,
+      bv1 <- fm1[bv1, on = "FMid"][,
                                       num_raise := fifelse(BVTotCount > 0, FMnumAtUnit / BVTotCount, NA_real_)
       ][
         , N_at_age := BVNumbersAtAge * num_raise

From 9b4540ffd42555120bea45b8b7342c62b2197a96 Mon Sep 17 00:00:00 2001
From: karolinamg <mollagazik@gmail.com>
Date: Wed, 5 Nov 2025 09:03:44 +0100
Subject: [PATCH 14/87] upd ratio

---
 R/doEstimationRatio.R | 121 ++++++++++++++++++------------------------
 1 file changed, 51 insertions(+), 70 deletions(-)

diff --git a/R/doEstimationRatio.R b/R/doEstimationRatio.R
index d04f977..ca55af5 100644
--- a/R/doEstimationRatio.R
+++ b/R/doEstimationRatio.R
@@ -130,6 +130,8 @@ doEstimationRatio <- function(RDBESDataObj,
   # the weight codes in the field BVtypeMeas
   # If there is only one present, this is used by default
   # If more than one are present, allow the user to choose
+
+
   possibleValues  <- unique(RDBESEstRatioObj$BV$BVtypeMeas)
   if(!raiseVar %in% possibleValues){
     if(raiseVar == "Weight"){
@@ -167,14 +169,14 @@ doEstimationRatio <- function(RDBESDataObj,
       # TODO mean weight at length
       # TODO this should not break if only the len comp is required
 
-      if(!is.null(LWparam)){
-
-        stop("Not yet implemented")
-
-      }else{
-        # else stop
-        stop("Nor an auxiliary variable nor lw params are provided. Not possible to produce the mean weight at length")
-      }
+      # if(!is.null(LWparam)){
+      #
+      #   stop("Not yet implemented")
+      #
+      # }else{
+      #   # else stop
+      #   stop("Nor an auxiliary variable nor lw params are provided. Not possible to produce the mean weight at length")
+      # }
 
 
 
@@ -186,9 +188,9 @@ doEstimationRatio <- function(RDBESDataObj,
       sa <- data.table::setDT(RDBESEstRatioObj$SA)
 
       # Need to check uniqueness of FM length type assess
-      if(length(unique(fm$FMtypeAssess)) > 1){
-        stop("The measurement type of the class needed for assessment (FMtypeAssess) needs to be unique")
-      }
+      # if(length(unique(fm$FMtypeAssess)) > 1){
+      #   stop("The measurement type of the class needed for assessment (FMtypeAssess) needs to be unique")
+      # }
 
       # It should break here if there is no match
       checkLC(
@@ -262,12 +264,9 @@ doEstimationRatio <- function(RDBESDataObj,
       bv_assess <- bv[BVtypeMeas %in% c(lengthVar, wcol),
                       data.table::dcast(.SD, SAid + BVfishId ~ BVtypeMeas, value.var = "BVvalueMeas", drop = TRUE)
       ]
-      bv[, BVweight := as.numeric(get(wcol))]
-      # TODO this probably needs to be an argument
-      # or needs to be defined later on?
-      bv$LengthClass <- floor(bv$LengthTotal/10) # TODO This needs to be defined by the user
+     bv_assess[, BVweight := as.numeric(get(wcol))]
 
-      bv1 <- bv[
+      bv1 <- bv_assess[
         , .(BVMeanWeight = mean(BVweight, na.rm = TRUE),
             BVNumbersAtLength = .N),
         by = .(SAid, LengthClass)
@@ -429,61 +428,43 @@ doEstimationRatio <- function(RDBESDataObj,
 
     }else if(unique(RDBESDataObj$SA$SAlowHierarchy) == "A"){
 
-      bv <- data.table::setDT(RDBESEstRatioObj$BV)
-      fm <- data.table::setDT(RDBESEstRatioObj$FM)
-      sa <- data.table::setDT(RDBESEstRatioObj$SA)
-      bv <- bv[, unique(.SD), .SDcols = c( "FMid","BVfishId", "BVtypeMeas", "BVvalueMeas")]
-      bv <- dcast(bv, ... ~ BVtypeMeas , value.var = c("BVvalueMeas"), drop = TRUE)
-      bv[, BVweight := as.numeric(get(wcol))]
-
-      bv1 <- bv[
-        , .(BVMeanWeight = mean(BVweight, na.rm = TRUE),
-            BVNumbersAtAge = .N),
-        by = .(FMid, Age)
-      ][
-        # add total count per SAid
-        , BVTotCount := sum(BVNumbersAtAge), by = FMid
-      ][
-        # add total weight per SAid
-        bv[, .(BVTotWeight = sum(BVweight, na.rm = TRUE)), by = FMid],
-        on = "FMid"
-      ]
-
-
-
-      fm <- fm[fm, unique(.SD), .SDcols = c("SAid", "FMid", "FMclassMeas", "FMnumAtUnit")]
-      sa <- sa[, unique(.SD), .SDcols = c("SAid", "SAlowHierarchy", "SAtotalWtMes" , "SAsampWtMes",  "SAnumTotal", "SAnumSamp", "SAauxVarValue", "SAauxVarUnit" )]
-
-      fm1 <- unique(
-        fm[FMclassMeas %chin% c("LengthTotal","LengthMeasured","Length"),
-           .(FMid, SAid, FMnumAtUnit)]
-      )
-
-      bv1 <- fm1[bv1, on = "FMid"][,
-                                      num_raise := fifelse(BVTotCount > 0, FMnumAtUnit / BVTotCount, NA_real_)
-      ][
-        , N_at_age := BVNumbersAtAge * num_raise
-      ]
-
-
-
-      # subsample -> sample weights -> weight from where the sample came from
-
-      # if age exists
-
-      # if indv weights + lengths  exist
-
-      # then Full data set back
-
-      # if only indv weights
-      # then you don't have the mean length at age unless you use the inverse LW relationship :provide a, b parameters or model them (Future work)
-      # if only lengths
-      # the you don't have the mean weight at age unless LW: a, b or model (Future work)
-      # else stop you don't sufficient data
-
-      # else stop
+      # bv <- data.table::setDT(RDBESEstRatioObj$BV)
+      # fm <- data.table::setDT(RDBESEstRatioObj$FM)
+      # sa <- data.table::setDT(RDBESEstRatioObj$SA)
+      # bv <- bv[, unique(.SD), .SDcols = c( "FMid","BVfishId", "BVtypeMeas", "BVvalueMeas")]
+      # bv <- dcast(bv, ... ~ BVtypeMeas , value.var = c("BVvalueMeas"), drop = TRUE)
+      # bv[, BVweight := as.numeric(get(wcol))]
+      #
+      # bv1 <- bv[
+      #   , .(BVMeanWeight = mean(BVweight, na.rm = TRUE),
+      #       BVNumbersAtAge = .N),
+      #   by = .(FMid, Age)
+      # ][
+      #   # add total count per SAid
+      #   , BVTotCount := sum(BVNumbersAtAge), by = FMid
+      # ][
+      #   # add total weight per SAid
+      #   bv[, .(BVTotWeight = sum(BVweight, na.rm = TRUE)), by = FMid],
+      #   on = "FMid"
+      # ]
+      #
+      #
+      #
+      # fm <- fm[fm, unique(.SD), .SDcols = c("SAid", "FMid", "FMclassMeas", "FMnumAtUnit")]
+      # sa <- sa[, unique(.SD), .SDcols = c("SAid", "SAlowHierarchy", "SAtotalWtMes" , "SAsampWtMes",  "SAnumTotal", "SAnumSamp", "SAauxVarValue", "SAauxVarUnit" )]
+      #
+      # fm1 <- unique(
+      #   fm[FMclassMeas %chin% c("LengthTotal","LengthMeasured","Length"),
+      #      .(FMid, SAid, FMnumAtUnit)]
+      # )
+      #
+      # bv1 <- fm1[bv1, on = "FMid"][,
+      #                                 num_raise := fifelse(BVTotCount > 0, FMnumAtUnit / BVTotCount, NA_real_)
+      # ][
+      #   , N_at_age := BVNumbersAtAge * num_raise
+      # ]
 
-      # TODO include FM. For now the FM is not yet implemented
+      stop("Not yet implemented")
     }else{
       stop("Age composition can't be calculated with lower hierachy B.")
     }

From e47bd5d9464ef23c6482564aa4794ea63b0e6d61 Mon Sep 17 00:00:00 2001
From: Richard Meitern <richard.meitern@gmail.com>
Date: Thu, 8 Jan 2026 16:21:47 +0200
Subject: [PATCH 15/87] update vignettes

---
 man/doEstimationRatio.Rd                      |   4 +-
 package_overview.Rmd                          | 131 ++++++++++++++----
 ...-population-parameters-ratio-estimator.Rmd |  57 +++++++-
 3 files changed, 159 insertions(+), 33 deletions(-)

diff --git a/man/doEstimationRatio.Rd b/man/doEstimationRatio.Rd
index 215d75a..dcbcc2b 100644
--- a/man/doEstimationRatio.Rd
+++ b/man/doEstimationRatio.Rd
@@ -22,9 +22,9 @@ doEstimationRatio(
 
 \item{raiseVar}{The variable used to construct the ratio.}
 
-\item{classUnits}{Units of the class intervals for length or age, typically "mm" for millimeters or "cm" for centimeters. Used in defining class intervals.}
+\item{classUnits}{Units of the class intervals for length or age, typically "mm" for millimeters or "cm" for centimeters. Used in defining class intervals. In lower hierarchy A, the argument is used to check if that the length classes provided. For lower hierarchy B, it transforms the lengths. Codes: https://vocab.ices.dk/?ref=1608}
 
-\item{classBreaks}{A numeric vector of three values: minimum value, maximum value, and class width (e.g., c(100, 300, 10)). Defines the class intervals for grouping lengths or ages.}
+\item{classBreaks}{A numeric vector of three values: minimum value, maximum value, and class width (e.g., c(100, 300, 10)). Defines the class intervals for grouping lengths. In lower hierarchy A, the argument is used to check if that the length classes provided. For lower hierarchy B, it transforms the lengths.}
 
 \item{LWparam}{A numeric vector of length two specifying parameters (a, b) for the weight-length relationship (W = a * L^b). Used if no direct weights are available but lengths are provided.}
 
diff --git a/package_overview.Rmd b/package_overview.Rmd
index 6bc617c..724ca75 100644
--- a/package_overview.Rmd
+++ b/package_overview.Rmd
@@ -2,51 +2,54 @@
 title: 'RDBEScore: Using R for ICES Regional Database & Estimation System (RDBES)
   Data'
 output:
-  ioslides_presentation:
-    incremental: true
   powerpoint_presentation:
     reference_doc: "./data-raw/styles.pptx"
     slide_level: 2
     keep_md: true
     incremental: true
+  ioslides_presentation:
+    incremental: true
   beamer_presentation:
     incremental: true
 ---
 
-## Importing RDBES Data
+## Introduction
 
-The aim of this document is to outline the basic workflow of importing data downloaded from the [ICES Regional Database & Estimation System (RDBES)](https://rdbes.ices.dk/#/) or a `list` object containing data frames (or data.tables) into `R` using the `RDBEScore` package.
+**RDBEScore** is an R package developed to facilitate the analysis of data from the ICES Regional Database and Estimation System (RDBES).  The package provides functions to:
 
-The function **createRDBESDataObject** is intended to directly import Commercial Landing (CL), Commercial Effort (CE) and Commercial Sampling (CS) tables downloaded from [RDBES](https://rdbes.ices.dk/#/).
+- import functions like `createRDBESDataObject` and `validateRDBESDataObject`
+- manipulate functions such as `filterAndTidyRDBESDataObject`, `combineRDBESDataObjects` and `removeBrokenVesselLinks`
+- analysis functions including `createRDBESEstObject`, `doEstimationForAllStrata`, `doBVestimCANUM` and `exportEstimationResultsToInterCatchFormat` to generate estimates and export them to InterCatch format.
 
-## Introduction
-2
-RDBEScore is an R package developed to facilitate the analysis of data from the ICES Regional Database and Estimation System (RDBES). The package provides functions to:
+These functions support the entire workflow from data import through cleaning to estimation and reporting.  The package is designed to work with data from the RDBES, which is a relational database system used by ICES to store data from regional sampling programmes. The `RDBEScore` package is intended to be used by national data coordinators, data analysts, and scientists working with data from the RDBES.
 
-- import functions like `createRDBESDataObject` and `validateRDBESDataObject` 
-- manipulate functions like `filterAndTidyRDBESDataObject`, `combineRDBESDataObjects` and `removeBrokenVesselLinks`
-- analyse functions like 
+The aim of this document is to outline the basic workflow of importing and processing data downloaded from the [ICES Regional Database & Estimation System (RDBES)](https://rdbes.ices.dk/#/)
 
-data from the RDBES. The package is designed to work with data from the RDBES, which is a relational database system used by ICES to store data from regional sampling programmes. The `RDBEScore` package is intended to be used by national data coordinators, data analysts, and scientists working with data from the RDBES.
 
+## RDBEScore package
 
+The package can be found on [RDBEScore GitHub](https://github.com/ices-tools-dev/RDBEScore).
 
-## RDBEScore package
+The best way to get started is to read the package documentation and the vignettes. The package documentation can be found on the [RDBEScore GitHub pages](https://ices-tools-dev.github.io/RDBEScore/), which describe the installation methods and provide worked examples for the available functions under **articles** section.
 
-The package can be found on [RDBEScore GitHub](https://github.com/ices-tools-dev/RDBEScore/tree/dev)
+These resources provide information on how to install the package, how to use the functions, and how to contribute to the development of the package.  The following will now demonstrate some of the functionality of the package using the current **main** version.
 
-The best way to get started is to read the package documentation and the vignettes. The package documentation can be found on the [RDBEScore GitHub pages](https://ices-tools-dev.github.io/RDBEScore/).
 
-These resources provide information on how to install the package, how to use the functions, and how to contribute to the development of the package. The following will now demonstrate some of the functionality of the package that is available now at the **dev** branch.
+## Installation
 
+The most recent production version of **RDBEScore** can be installed using the ICES tools production repository:
 
-## Load RDBEScore Development Version
+```{r eval=FALSE, echo=TRUE}
+install.packages("RDBEScore",
+  repos = c("https://ices-tools-prod.r-universe.dev",
+            "https://cloud.r-project.org"))
+```
 
-The suggested way to install the   package is from the `main` or development (`dev`) branch on GitHub using the `remotes` package.
+A more recent development version is available from GitHub:
 
 ```{r eval=FALSE, echo=TRUE}
 install.packages("remotes")
-remotes::install_github("ices-tools-dev/RDBEScore@dev", build_vignettes = TRUE)
+remotes::install_github("ices-tools-dev/RDBEScore/dev", build_vignettes = TRUE)
 ```
 
 Then you can load the package using:
@@ -138,7 +141,7 @@ myFilteredObject <- filterRDBESDataObject(H1Example,
 myFilteredObject
 ```
 
-## Remowing Unlinked Data
+## Removing Unlinked Data
 
 It is important to note that filtering is likely to result in "orphan" rows being produced so it is usual to also apply the **findAndKillOrphans()** function to the filtered data to remove these records.
 
@@ -166,8 +169,6 @@ ld <- getLinkedDataFromLevel("LEid", c(1), H8ExampleEE1, "TE", verbose = TRUE)
 knitr::kable(ld[,c(1:2,5:8 )])
 ```
 
-## Getting Subsets of RDBESDataObject Tables
-
 Similarly we can get the subset of the LE table corresponding to a specific value in the TE table. This does not have to be the *id* field, but can be any field in the table.
 
 ```{r}
@@ -184,6 +185,14 @@ ld <- getLinkedDataFromLevel("BVfishId", c("410472143", "410472144"), H8ExampleE
 knitr::kable(ld[,1:5])
 ```
 
+## Data Preparation: Handling Zeros and NAs
+
+Before estimation, it is often necessary to ensure the data is complete, particularly regarding species that were looked for but not found (zeros) or not targeted (NAs). **RDBEScore** provides functions to handle this using the Species List (SL) table.
+
+- `generateZerosUsingSL()`: Adds explicit zero records for species recorded in the species list but missing from the sample.
+- `generateNAsUsingSL()`: Populates NA values for species not targeted by the sampling scheme.
+
+See the vignettes *Generating zeros for species not observed* and *Generating NAs for species not targeted by sampling* for more details.
 
 ## Estimating
 
@@ -211,7 +220,7 @@ estimMC(as.numeric(BV$BVvalueMeas),
 
 Right now estimation actually  is done on a *RDBESEstObject* that is generate from *RDBESDataObject* using **createRDBESEstObject(...)**. 
 
-In the next sections we will use data from R packages [survey](https://CRAN.R-project.org/package=survey) and [SDAResources](https://CRAN.R-project.org/package=SDAResources) that are converted into the *RDBESDataObject* to demonstrate the estimation procedure.
+In the next sections we will use example data derived from the [survey](https://CRAN.R-project.org/package=survey) and [SDAResources](https://CRAN.R-project.org/package=SDAResources) packages. This data is included in **RDBEScore** and converted into the *RDBESDataObject* format to demonstrate the estimation procedure.
 
 For more detailed information on the estimation functions see the vignettes 
 
@@ -243,7 +252,7 @@ How to interpret these results in the above example?
 
 In practice the data submitters have to prepare Intercatch data call tables. In the future the estimation functions should be made so that they estimate the values for these tables. 
 
-in the **dev** branch there is a function **doBVestimCANUM(...)** that can be used for a very basic estimation of the total catch at number (CANUM) for a specified biological variable, such as age or length. 
+The package includes a function **doBVestimCANUM(...)** that can be used for a basic estimation of the total catch at number (CANUM) for a specified biological variable, such as age or length. 
 
 
 ### Simple Estimation Example
@@ -252,7 +261,7 @@ in the **dev** branch there is a function **doBVestimCANUM(...)** that can be us
 For the simplest case of estimation we need the **RDBESDataObject** with CS tables and a CL table. In the following example we will estimate the total number of sprat caught in the area *27.3.d.28.1* with the gear *OTM_SPF_16-31_0_0* for the first quarter of the year.
 
 ```{r}
-#From the commertial landings table we need to get the total weight of the catches
+#From the commercial landings table we need to get the total weight of the catches
 CLfieldstoSum <- c("CLoffWeight")
 ```
 
@@ -276,8 +285,7 @@ strataListCL <- list(CLarea="27.3.d.28.1",
 
 
 ## Adding CL data to the lower hierarchy
-
-There is a function in development **addCLtoLowerCS(...)** that can be used to add the CL data to the lower hierarchy.
+The function **addCLtoLowerCS(...)** can be used to add the commercial landings (CL) data to the lower hierarchy, enabling estimation of biological variables using corresponding landing weights.
 
 
 ```{r}
@@ -289,8 +297,7 @@ biolCLQ1 <- addCLtoLowerCS(H8ExampleEE1, strataListCS, strataListCL,
 ```
 
 ## Estimation based on CL and BV
-
-To estimate the total number of sprat caught in the area 27.3.d.28.1 with the gear OTM_SPF_16-31_0_0 for the first quarter of the year we need to use the function **doBVestimCANUM(...)**. For more details on the function see the vignette in the **dev** branch.
+To estimate the total number of sprat caught in the area 27.3.d.28.1 with the gear OTM_SPF_16-31_0_0 for the first quarter of the year we need to use the function **doBVestimCANUM(...)**.  Details on this function and the overall estimation workflow are provided in the vignettes. 
 The output table should be enough to populate a classic InterCatch data call table. 
 
 ```{r canNum}
@@ -304,6 +311,72 @@ knitr::kable(lenCANUMQ1[order(lenCANUMQ1$LengthmmMean), c("Group", "WeightgMean"
 ```
 
 
+## Exporting Results
+
+The results can be formatted for the InterCatch data call using **exportEstimationResultsToInterCatchFormat()**. 
+To do this we need to map the columns in our calculated object to the column names expected by the export function.
+
+```{r}
+# Add extra columns to the final result 
+addCols <- c(names(strataListCS),
+             names(strataListCL),
+             paste0('sum', CLfieldstoSum))
+
+ageCANUM <- doBVestimCANUM(biolCLQ1, addCols,
+             classUnits = "Ageyear",
+             classBreaks = 1:8,
+             verbose = FALSE)
+
+# Map the results to InterCatch format
+dataToExport <- data.frame(
+    # HI columns
+    Country = "EE",
+    Year = "2022",
+    SeasonType = "Quarter",
+    Season = ageCANUM$CLquar,
+    Fleet = ageCANUM$CLmetier6,
+    AreaType = "Div",
+    FishingArea = ageCANUM$CLarea,
+    DepthRange = "NA", 
+    
+    # SI columns
+    Species = ageCANUM$SAspeCodeFAO, 
+    Stock = "Unknown",
+    CatchCategory = "L",
+    ReportingCategory = "R",
+    DataToFrom = "Data",
+    Usage = "Used",
+    SamplesOrigin = "U",
+    QualityFlag = "U",
+    UnitCATON = "kg",
+    CATON = ageCANUM$sumCLoffWeight,
+    OffLandings = ageCANUM$sumCLoffWeight,
+    
+    # SD columns
+    Sex = "N",
+    CANUMtype = "L",
+    AgeLength = as.integer(as.character(ageCANUM$Group)),
+    PlusGroup = ageCANUM$plusGroup,
+    unitMeanWeight = "g", 
+    unitCANUM = "n",
+    UnitAgeOrLength = "Age", 
+    UnitMeanLength = "mm",
+    NumberCaught = ageCANUM$totNum,
+    MeanWeight = ageCANUM$WeightgMean,
+    MeanLength = ageCANUM$LengthmmMean
+)
+
+# Generate the InterCatch string
+ic_output <- exportEstimationResultsToInterCatchFormat(dataToExport)
+
+# Show the first few lines of the output
+head(ic_output)
+``` 
+
+See the vignettes 03b (ratio estimation) or 04b (stratified estimation) for more detailed examples and explanations of the estimation workflow and exporting results to InterCatch format.
+
+
+
 ## Issues Reporting
 
 If something is not working as expected, or if you have a feature request, please open an issue on [RDBEScore GitHub](https://github.com/ices-tools-dev/RDBEScore/issues)
diff --git a/vignettes/v03b-Estimating-population-parameters-ratio-estimator.Rmd b/vignettes/v03b-Estimating-population-parameters-ratio-estimator.Rmd
index 3751f02..e10b302 100644
--- a/vignettes/v03b-Estimating-population-parameters-ratio-estimator.Rmd
+++ b/vignettes/v03b-Estimating-population-parameters-ratio-estimator.Rmd
@@ -128,11 +128,64 @@ ageCANUM <- doBVestimCANUM(biolCL, addCols,
              verbose = FALSE)
 
 ageCANUM
-             
 ```
 
+## Exporting results to InterCatch
 
-The output table should be enough to populate a classic Intercatch data call table. 
+The results can be formatted for the InterCatch data call using **exportEstimationResultsToInterCatchFormat()**. 
+To do this we need to map the columns in our calculated `ageCANUM` object to the column names expected by the export function.
+
+```{r}
+# Map the results to InterCatch format
+dataToExport <- data.frame(
+    # HI columns
+    Country = "EE",
+    Year = "2022",
+    SeasonType = "Quarter",
+    Season = ageCANUM$CLquar,
+    Fleet = ageCANUM$CLmetier6,
+    AreaType = "Div",
+    FishingArea = ageCANUM$CLarea,
+    DepthRange = "NA", 
+    
+    # SI columns
+    Species = ageCANUM$SAspeCodeFAO, 
+    Stock = "Unknown",
+    CatchCategory = "L",
+    ReportingCategory = "R",
+    DataToFrom = "Data",
+    Usage = "Used",
+    SamplesOrigin = "U",
+    QualityFlag = "U",
+    UnitCATON = "kg",
+    CATON = ageCANUM$sumCLoffWeight,
+    OffLandings = ageCANUM$sumCLoffWeight,
+    
+    # SD columns
+    Sex = "N",
+    CANUMtype = "L",
+    AgeLength = as.integer(as.character(ageCANUM$Group)),
+    PlusGroup = ageCANUM$plusGroup,
+    #SampledCatch = ageCANUM$sumCLoffWeight,
+    #NumSamplesLngt = ageCANUM$lenMeas,
+    #NumLngtMeas = ageCANUM$lenMeas,
+    #NumSamplesAge = ageCANUM$lenMeas,
+    #NumAgeMeas = ageCANUM$lenMeas,
+    unitMeanWeight = "g", 
+    unitCANUM = "n",
+    UnitAgeOrLength = "Age", 
+    UnitMeanLength = "mm",
+    NumberCaught = ageCANUM$totNum,
+    MeanWeight = ageCANUM$WeightgMean,
+    MeanLength = ageCANUM$LengthmmMean
+)
+
+# Generate the InterCatch string
+ic_output <- exportEstimationResultsToInterCatchFormat(dataToExport)
+
+# Show the first few lines of the output
+head(ic_output)
+``` 
 
 
 See also other package vignettes:

From 1f6fc9d031f08b9ae436ace8ee473e36f62ad421 Mon Sep 17 00:00:00 2001
From: Richard Meitern <richard.meitern@gmail.com>
Date: Tue, 3 Feb 2026 13:49:27 +0200
Subject: [PATCH 16/87] test that empty tabeles are skipped

---
 tests/testthat/test-getLinkedDataFromLevel.R | 23 ++++++++++++++++++++
 1 file changed, 23 insertions(+)

diff --git a/tests/testthat/test-getLinkedDataFromLevel.R b/tests/testthat/test-getLinkedDataFromLevel.R
index 362a9f1..2413bfd 100644
--- a/tests/testthat/test-getLinkedDataFromLevel.R
+++ b/tests/testthat/test-getLinkedDataFromLevel.R
@@ -56,6 +56,29 @@ test_that("Error when level is not found in rdbesTables", {
   )
 })
 
+test_that("Retrieve data from VS based on BVfishId if There is an empty intermedate FM table", {
+  h8 <- H8ExampleEE1
+
+  #add FM table to the rdbes object
+  h8[["FM"]] <- H1Example[["FM"]][0,]
+
+
+
+  result <- getLinkedDataFromLevel("BVfishId", c("410472143", "410472144"), h8, "VS")
+
+  # Check that the result is a data.table (or other expected data structure)
+  expect_s3_class(result, "data.table")
+
+  # Check that the result contains data (you can adjust this depending on known expected results)
+  expect_equal(nrow(result), 1)
+
+  #check also downwards direction
+  res2 <- getLinkedDataFromLevel("DEid", c(1), h8, "BV")
+
+  expect_s3_class(res2, "data.table")
+  expect_equal(nrow(res2), 3995)
+})
+
 
 
 

From a72a525089c15b680a4cc28ece28daaf4243e251 Mon Sep 17 00:00:00 2001
From: Richard Meitern <richard.meitern@gmail.com>
Date: Tue, 3 Feb 2026 14:44:26 +0200
Subject: [PATCH 17/87] skipping empty tables

---
 R/lowerTblData.R | 40 +++++++++++++++++++++++++++++++++++-----
 R/upperTblData.R | 33 +++++++++++++++++++++++++++++++--
 2 files changed, 66 insertions(+), 7 deletions(-)

diff --git a/R/lowerTblData.R b/R/lowerTblData.R
index 8f539bf..9e2d8af 100644
--- a/R/lowerTblData.R
+++ b/R/lowerTblData.R
@@ -41,13 +41,43 @@ lowerTblData <- function(field, values, tbls, level, verbose = FALSE, path_order
   }
   currTbl <- which(start == names(tbls))
 
-  # assumes tables are in correct order and no empty tables
+  # assumes tables are in correct order; skip NULL and empty tables if bypassing is possible
   tc <- 1
   nextTbl <- tbls[[currTbl + tc]]
-  while (is.null(nextTbl)) {
-    tc <- tc + 1
-    if(currTbl + tc > length(tbls)) stop("No more lower tables found")
-    nextTbl <- tbls[[currTbl + tc]]
+  nextTblField <- paste0(names(tbls)[currTbl + tc], "id")
+
+  while (is.null(nextTbl) || (is.data.frame(nextTbl) && nrow(nextTbl) == 0)) {
+    # Look ahead to the next non-empty table to check if it has the parent ID field
+    tc_lookahead <- tc + 1
+    found_bypass <- FALSE
+
+    while(tc_lookahead + currTbl <= length(tbls)){
+      lookahead_tbl <- tbls[[currTbl + tc_lookahead]]
+      if(!is.null(lookahead_tbl) && is.data.frame(lookahead_tbl) && nrow(lookahead_tbl) > 0){
+        # Found next non-empty table, check if it has parent field
+        if(field %in% colnames(lookahead_tbl)){
+          found_bypass <- TRUE
+        }
+        break
+      }
+      tc_lookahead <- tc_lookahead + 1
+    }
+
+    if(found_bypass){
+      if(verbose) {
+        cat(paste0("Skipping empty or NULL table: ", names(tbls)[currTbl + tc], "\n"))
+      }
+      tc <- tc + 1
+      if(currTbl + tc > length(tbls)) stop("No more lower tables found")
+      nextTbl <- tbls[[currTbl + tc]]
+      nextTblField <- paste0(names(tbls)[currTbl + tc], "id")
+    } else {
+      # No bypass possible - this is a true empty result
+      if(verbose) {
+        cat(paste0("Empty table ", names(tbls)[currTbl + tc], " with no bypass - returning empty result\n"))
+      }
+      return(tbls[[level]][0,])
+    }
   }
 
   nextTblField <- paste0(names(tbls)[currTbl + tc], "id")
diff --git a/R/upperTblData.R b/R/upperTblData.R
index 9bb62ad..62db3d6 100644
--- a/R/upperTblData.R
+++ b/R/upperTblData.R
@@ -48,16 +48,45 @@ upperTblData <- function(field, values, tbls, level, verbose = FALSE){
   #skip NULL tables
   tc <- -1
   prevTbl <- names(tbls)[currTbl+tc]
+  
   while(is.null(tbls[[prevTbl]])){
     if(verbose){
-      print(paste0("Skipping: ", prevTbl))
+      print(paste0("Skipping NULL table: ", prevTbl))
     }
     tc <- tc - 1
     if((currTbl+tc) < 1) stop("No table found")
     prevTbl <- names(tbls)[currTbl+tc]
-
   }
+  
+  # Now check if prevTbl is empty (0 rows) and we can skip it
   prevTblfield <-  paste0(names(tbls)[currTbl+tc], "id")
+  if(!is.null(tbls[[prevTbl]]) && is.data.frame(tbls[[prevTbl]]) && nrow(tbls[[prevTbl]]) == 0){
+    # Empty intermediate table found - check if we can bypass it
+    if(!is.null(tbl) && is.data.frame(tbl) && prevTblfield %in% colnames(tbl)){
+      # Parent field exists in current table, can skip the empty intermediate
+      if(verbose){
+        print(paste0("Skipping empty table: ", prevTbl, " - bypassing via ", prevTblfield))
+      }
+      # Continue recursively, skipping the empty table
+      tc <- tc - 1
+      if((currTbl+tc) < 1) {
+        # No more tables, return empty
+        return(tbls[[level]][0,])
+      }
+      prevTbl <- names(tbls)[currTbl+tc]
+      prevTblfield <-  paste0(names(tbls)[currTbl+tc], "id")
+      # Recursively call with the new prevTblfield
+      prevTblvalues <- tbl[get(field) %in% values, get(prevTblfield)]
+      return(upperTblData(prevTblfield, prevTblvalues, tbls[1:currTbl], level, verbose))
+    } else {
+      # Can't bypass - return empty result
+      if(verbose){
+        print(paste0("Empty table ", prevTbl, " cannot be bypassed - returning empty"))
+      }
+      return(tbls[[level]][0,])
+    }
+  }
+
   prevTblvalues <- tbl[get(field) %in% values, get(prevTblfield)]
   upperTblData(prevTblfield,prevTblvalues, tbls[1:currTbl], level, verbose)
 }

From d2fe99d6bfa5da257ee0894690e140b45626559b Mon Sep 17 00:00:00 2001
From: Richard Meitern <richard.meitern@gmail.com>
Date: Tue, 3 Feb 2026 15:05:39 +0200
Subject: [PATCH 18/87] cahnge ID because this might change when package data
 changes

---
 tests/testthat/test-filterRDBESDataObjects.R | 12 ++++++++----
 1 file changed, 8 insertions(+), 4 deletions(-)

diff --git a/tests/testthat/test-filterRDBESDataObjects.R b/tests/testthat/test-filterRDBESDataObjects.R
index 6905305..cc3ad01 100644
--- a/tests/testthat/test-filterRDBESDataObjects.R
+++ b/tests/testthat/test-filterRDBESDataObjects.R
@@ -151,8 +151,10 @@ test_that("filterRDBESDataObject does not removes orphans when killOrphans = FAL
 test_that("filterRDBESDataObject retains FT if filtering by FO", {
   #issue #183  problem with filtering by FOid but not SSid?
   myH1RawObject <- Pckg_survey_apistrat_H1
+  #take the first FOid becasue if data is updated the id field value might change
+  foId2use <- myH1RawObject$FO$FOid[1]
 
-  resFO <- filterRDBESDataObject(myH1RawObject, "FOid", 70849,
+  resFO <- filterRDBESDataObject(myH1RawObject, "FOid", foId2use,
                                  killOrphans = F)
   expect_equal(nrow(resFO$FO), 1)
   expect_equal(nrow(resFO$FT), 200)
@@ -171,8 +173,10 @@ test_that("filterRDBESDataObject filter correctly for FT and FO", {
   #although it is not very flexible as you might want to filter on an id field
   # but this requires explicitly stating on the call the table where the id is expected.
   myH1RawObject <- Pckg_survey_apistrat_H1
+  #take the first FOid becasue if data is updated the id field value might change
+  foId2use <- myH1RawObject$FO$FOid[1]
 
-  resFO <- filterRDBESDataObject(myH1RawObject, "FOid", 70849,
+  resFO <- filterRDBESDataObject(myH1RawObject, "FOid", foId2use,
                                  killOrphans = TRUE)
   expect_equal(nrow(resFO$FO), 1)
   FTid <- resFO$FO$FTid
@@ -185,7 +189,7 @@ test_that("filterRDBESDataObject filter correctly for FT and FO", {
 test_that("filterRDBESDataObject filter correctly for FO and SS", {
   #issue #183  problem with filtering by FOid but not SSid?
   myH1RawObject <- Pckg_survey_apistrat_H1
-  values2filter <- c(227694)
+  values2filter <- c(Pckg_survey_apistrat_H1$SS$SSid[1])
   fields2filter <- c("SSid")
   resSS <- filterRDBESDataObject(myH1RawObject, fields2filter, values2filter,
                                  killOrphans = TRUE)
@@ -199,7 +203,7 @@ test_that("filterRDBESDataObject filter correctly for FO and SS", {
 test_that("filterRDBESDataObject filter correctly for SS and SA", {
   #issue #183  problem with filtering by FOid but not SSid?
   myH1RawObject <- Pckg_survey_apistrat_H1
-  values2filter <- c(227694)
+  values2filter <- c(Pckg_survey_apistrat_H1$SA$SAid[1])
   fields2filter <- c("SSid")
   resSS <- filterRDBESDataObject(myH1RawObject, fields2filter, values2filter,
                                  killOrphans = TRUE)

From 6d78edb4588e25d7ad0af54c8cb4216b8eead17f Mon Sep 17 00:00:00 2001
From: Richard Meitern <richard.meitern@gmail.com>
Date: Tue, 3 Feb 2026 16:10:22 +0200
Subject: [PATCH 19/87] #255 added mixed country object filtering

---
 R/lowerTblData.R                             |  38 +++++-
 R/upperTblData.R                             | 117 +++++++++++++++----
 tests/testthat/test-getLinkedDataFromLevel.R |  23 ++++
 3 files changed, 156 insertions(+), 22 deletions(-)

diff --git a/R/lowerTblData.R b/R/lowerTblData.R
index 9e2d8af..2a75ded 100644
--- a/R/lowerTblData.R
+++ b/R/lowerTblData.R
@@ -93,11 +93,47 @@ lowerTblData <- function(field, values, tbls, level, verbose = FALSE, path_order
 
   # Initialize and update path order to ensure the original search field stays first
   if (is.null(path_order)) path_order <- field
-  path_order <- unique(c(path_order, nextTblField))
 
   # values in next table for recursion
   nextTblValues <- nextTbl[get(field) %in% values, get(nextTblField)]
 
+  # Check if intermediate table has no matching data and if bypass is possible
+  if (length(nextTblValues) == 0 && length(values) > 0) {
+    # Look ahead to see if we can bypass this non-empty but non-matching table
+    # Only do this if values is non-empty (empty values can't match anything anyway)
+    tc_lookahead <- tc + 1
+    found_bypass <- FALSE
+
+    while(tc_lookahead + currTbl <= length(tbls)){
+      lookahead_tbl <- tbls[[currTbl + tc_lookahead]]
+      if(!is.null(lookahead_tbl) && is.data.frame(lookahead_tbl) && nrow(lookahead_tbl) > 0){
+        # Found next non-empty table, check if it has parent field
+        if(field %in% colnames(lookahead_tbl)){
+          found_bypass <- TRUE
+        }
+        break
+      }
+      tc_lookahead <- tc_lookahead + 1
+    }
+
+    if(found_bypass){
+      # Bypass this table with no matches and continue with the next table
+      if(verbose) {
+        cat(paste0("No matches in table ", names(tbls)[currTbl + tc], ", bypassing\n"))
+      }
+      tc <- tc + 1
+      nextTbl <- tbls[[currTbl + tc]]
+      nextTblField <- paste0(names(tbls)[currTbl + tc], "id")
+      # Recalculate nextTblValues with the new table
+      nextTblValues <- nextTbl[get(field) %in% values, get(nextTblField)]
+    }
+    # If no bypass found, continue with empty nextTblValues
+    # The recursion and merge logic will handle building the correct empty result
+  }
+
+  # Update path order after potential bypass
+  path_order <- unique(c(path_order, nextTblField))
+
   # NEW: build link (current id -> next id) so we can keep intermediate IDs
   linkDT <- unique(nextTbl[get(field) %in% values,
                            .(from = get(field), to = get(nextTblField))])
diff --git a/R/upperTblData.R b/R/upperTblData.R
index 62db3d6..24a61b1 100644
--- a/R/upperTblData.R
+++ b/R/upperTblData.R
@@ -35,6 +35,14 @@ upperTblData <- function(field, values, tbls, level, verbose = FALSE){
   if(!is.list(tbls)) stop("tbls must be a list")
   if(!level %in% names(tbls)) stop(level, " must be a character string in the names of the tables")
 
+  # Validate that all non-NULL tables are data.frames
+  for(i in seq_along(tbls)){
+    if(!is.null(tbls[[i]]) && !is.data.frame(tbls[[i]])){
+      # Try to access field to generate the expected error message
+      get(field)
+    }
+  }
+
   start <- substr(field, start=1, stop=2)
   if(start == level){
     res <- tbls[[level]]
@@ -47,8 +55,9 @@ upperTblData <- function(field, values, tbls, level, verbose = FALSE){
   }
   #skip NULL tables
   tc <- -1
+  if((currTbl+tc) < 1) stop("No table found")
   prevTbl <- names(tbls)[currTbl+tc]
-  
+
   while(is.null(tbls[[prevTbl]])){
     if(verbose){
       print(paste0("Skipping NULL table: ", prevTbl))
@@ -57,36 +66,102 @@ upperTblData <- function(field, values, tbls, level, verbose = FALSE){
     if((currTbl+tc) < 1) stop("No table found")
     prevTbl <- names(tbls)[currTbl+tc]
   }
-  
-  # Now check if prevTbl is empty (0 rows) and we can skip it
+
+  # Now check if prevTbl is empty (0 rows) OR if prevTblfield doesn't exist in current table
   prevTblfield <-  paste0(names(tbls)[currTbl+tc], "id")
+
+  # Check if we need to bypass this table (either empty or field doesn't exist in current table)
+  needs_bypass <- FALSE
   if(!is.null(tbls[[prevTbl]]) && is.data.frame(tbls[[prevTbl]]) && nrow(tbls[[prevTbl]]) == 0){
-    # Empty intermediate table found - check if we can bypass it
-    if(!is.null(tbl) && is.data.frame(tbl) && prevTblfield %in% colnames(tbl)){
-      # Parent field exists in current table, can skip the empty intermediate
-      if(verbose){
-        print(paste0("Skipping empty table: ", prevTbl, " - bypassing via ", prevTblfield))
+    needs_bypass <- TRUE
+  } else if(!prevTblfield %in% colnames(tbl)){
+    needs_bypass <- TRUE
+  }
+
+  if(needs_bypass){
+    # Try to find a table we can bypass to
+    tc_bypass <- tc - 1
+    found_bypass <- FALSE
+
+    while((currTbl + tc_bypass) >= 1){
+      bypass_tbl_name <- names(tbls)[currTbl + tc_bypass]
+      bypass_tbl <- tbls[[bypass_tbl_name]]
+      bypass_field <- paste0(bypass_tbl_name, "id")
+
+      if(!is.null(bypass_tbl) && is.data.frame(bypass_tbl)){
+        # Check if current table has this field
+        if(bypass_field %in% colnames(tbl)){
+          # Check if this table is non-empty OR if we're at the target level
+          if(nrow(bypass_tbl) > 0 || bypass_tbl_name == level){
+            found_bypass <- TRUE
+            break
+          }
+        }
       }
-      # Continue recursively, skipping the empty table
-      tc <- tc - 1
-      if((currTbl+tc) < 1) {
-        # No more tables, return empty
-        return(tbls[[level]][0,])
+      tc_bypass <- tc_bypass - 1
+    }
+
+    if(found_bypass){
+      # Bypass to the found table
+      if(verbose){
+        print(paste0("Bypassing ", prevTbl, " to ", names(tbls)[currTbl + tc_bypass]))
       }
-      prevTbl <- names(tbls)[currTbl+tc]
-      prevTblfield <-  paste0(names(tbls)[currTbl+tc], "id")
-      # Recursively call with the new prevTblfield
-      prevTblvalues <- tbl[get(field) %in% values, get(prevTblfield)]
-      return(upperTblData(prevTblfield, prevTblvalues, tbls[1:currTbl], level, verbose))
+      tc <- tc_bypass
+      prevTbl <- names(tbls)[currTbl + tc]
+      prevTblfield <- paste0(prevTbl, "id")
     } else {
-      # Can't bypass - return empty result
+      # No bypass possible - return empty result
       if(verbose){
-        print(paste0("Empty table ", prevTbl, " cannot be bypassed - returning empty"))
+        print(paste0("Cannot bypass ", prevTbl, " - returning empty"))
       }
       return(tbls[[level]][0,])
     }
   }
 
   prevTblvalues <- tbl[get(field) %in% values, get(prevTblfield)]
-  upperTblData(prevTblfield,prevTblvalues, tbls[1:currTbl], level, verbose)
+
+  # Check if all values are NA (no actual link to this table) or if there are no values
+  if(length(prevTblvalues) == 0 || all(is.na(prevTblvalues))){
+    # No matches or all NAs - check if we can bypass this table
+    if(!is.null(tbl) && is.data.frame(tbl)){
+      # Look for next non-NULL, non-empty table going backwards
+      tc_bypass <- tc - 1
+      found_bypass <- FALSE
+
+      while((currTbl + tc_bypass) >= 1){
+        bypass_tbl_name <- names(tbls)[currTbl + tc_bypass]
+        bypass_tbl <- tbls[[bypass_tbl_name]]
+        bypass_field <- paste0(bypass_tbl_name, "id")
+
+        if(!is.null(bypass_tbl) && is.data.frame(bypass_tbl) && nrow(bypass_tbl) > 0){
+          # Found a non-empty table, check if current table has its field
+          if(bypass_field %in% colnames(tbl)){
+            found_bypass <- TRUE
+          }
+          break
+        }
+        tc_bypass <- tc_bypass - 1
+      }
+
+      if(found_bypass){
+        # Bypass the table with no matches or all NAs
+        if(verbose){
+          if(length(prevTblvalues) == 0){
+            print(paste0("No matches in table ", prevTbl, ", bypassing"))
+          } else {
+            print(paste0("All NAs in table ", prevTbl, ", bypassing"))
+          }
+        }
+        # When bypassing, directly recurse without updating local variables
+        # to avoid issues with table subsetting
+        bypass_prevTbl <- names(tbls)[currTbl + tc_bypass]
+        bypass_prevTblfield <- paste0(bypass_prevTbl, "id")
+        bypass_prevTblvalues <- tbl[get(field) %in% values, get(bypass_prevTblfield)]
+        return(upperTblData(bypass_prevTblfield, bypass_prevTblvalues, tbls, level, verbose))
+      }
+      # If no bypass found, continue with empty prevTblvalues
+    }
+  }
+
+  upperTblData(prevTblfield,prevTblvalues, tbls, level, verbose)
 }
diff --git a/tests/testthat/test-getLinkedDataFromLevel.R b/tests/testthat/test-getLinkedDataFromLevel.R
index 2413bfd..3fc443d 100644
--- a/tests/testthat/test-getLinkedDataFromLevel.R
+++ b/tests/testthat/test-getLinkedDataFromLevel.R
@@ -79,6 +79,29 @@ test_that("Retrieve data from VS based on BVfishId if There is an empty intermed
   expect_equal(nrow(res2), 3995)
 })
 
+test_that("Retrieve data from VS based on BVfishId if There is an non-empty intermedate FM table", {
+  h8 <- H8ExampleEE1
+
+  #add FM table to the rdbes object
+  h8[["FM"]] <- H1Example[["FM"]][1,]
+
+
+
+  result <- getLinkedDataFromLevel("BVfishId", c("410472143", "410472144"), h8, "VS")
+
+  # Check that the result is a data.table (or other expected data structure)
+  expect_s3_class(result, "data.table")
+
+  # Check that the result contains data (you can adjust this depending on known expected results)
+  expect_equal(nrow(result), 1)
+
+  #check also downwards direction
+  res2 <- getLinkedDataFromLevel("DEid", c(1), h8, "BV")
+
+  expect_s3_class(res2, "data.table")
+  expect_equal(nrow(res2), 3995)
+})
+
 
 
 

From 146d2debf25b62c4ca190cecab4d9486fa978672 Mon Sep 17 00:00:00 2001
From: colin millar <colinpmillar@gmail.com>
Date: Wed, 11 Feb 2026 18:21:08 +0100
Subject: [PATCH 20/87] fix gitignore

---
 .gitignore | 3 ---
 1 file changed, 3 deletions(-)

diff --git a/.gitignore b/.gitignore
index 428307b..e7fb23c 100644
--- a/.gitignore
+++ b/.gitignore
@@ -33,13 +33,10 @@ FishNCo/testData/RegionalTestData/*
 ~$*
 /doc/
 /Meta/
-<<<<<<< Updated upstream
 .vscode/
 docs
-=======
 # Data to develop fun
 /NLdata/
->>>>>>> Stashed changes
 package_overview.tex
 package_overview.html
 package_overview.pptx

From c267f6f005908143e8d496ddc73ab85cdfa40b28 Mon Sep 17 00:00:00 2001
From: colin millar <colinpmillar@gmail.com>
Date: Wed, 11 Feb 2026 18:23:34 +0100
Subject: [PATCH 21/87] add renv stuff

---
 .Rbuildignore | 2 ++
 .gitignore    | 5 +++++
 2 files changed, 7 insertions(+)

diff --git a/.Rbuildignore b/.Rbuildignore
index c38c689..c00100e 100644
--- a/.Rbuildignore
+++ b/.Rbuildignore
@@ -1,3 +1,5 @@
+^renv$
+^renv\.lock$
 ^.*\.Rproj$
 ^\.Rproj\.user$
 ^data-raw$
diff --git a/.gitignore b/.gitignore
index e7fb23c..f28528d 100644
--- a/.gitignore
+++ b/.gitignore
@@ -41,3 +41,8 @@ package_overview.tex
 package_overview.html
 package_overview.pptx
 package_overview.md
+
+# add renv stuff
+/renv/
+.Rprofile
+renv.lock

From 7dbb08793188d840833256af6f16a038342a540f Mon Sep 17 00:00:00 2001
From: colin millar <colinpmillar@gmail.com>
Date: Wed, 11 Feb 2026 18:31:51 +0100
Subject: [PATCH 22/87] add colin and ejaz as contributers and run roxygen

---
 DESCRIPTION | 173 ++++++++++++++++++++++++++--------------------------
 1 file changed, 87 insertions(+), 86 deletions(-)

diff --git a/DESCRIPTION b/DESCRIPTION
index 972c2d3..4d269c6 100644
--- a/DESCRIPTION
+++ b/DESCRIPTION
@@ -3,122 +3,123 @@ Type: Package
 Title: Functions for the ICES Regional Database and Estimation System (RDBES)
 Version: 0.3.5
 Author: c(
-    person(given = "David", 
-           family = "Currie", 
-           role = c("aut"), 
+    person(given = "David",
+           family = "Currie",
+           role = c("aut"),
            comment = c(ORCID = "0000-0002-3523-6895")),
     person(given = "Richard",
            family = "Meitern",
            role =  c("aut"),
            email = "richard.meitern@ut.ee",
            comment = c(ORCID = "0000-0002-2600-3002")),
-    person(given = "Nuno", 
-           family = "Prista", 
-           role = c("aut"), 
-		   email = "nuno.prista@slu.se", 
+    person(given = "Nuno",
+           family = "Prista",
+           role = c("aut"),
+		   email = "nuno.prista@slu.se",
 		   comment = c(ORCID = "0000-0002-5145-7241")),
-    person(given = "Nicholas", 
-           family = "Carey", 
+    person(given = "Nicholas",
+           family = "Carey",
            role = c("aut"),
            email = "nicholas.carey@gov.scot"),
-    person(given = "Petri", 
-           family = "Sarvamaa", 
-           role = c("aut"), 
+    person(given = "Petri",
+           family = "Sarvamaa",
+           role = c("aut"),
            email = "Petri.Sarvamaa@luke.fi"),
-    person(given = "Kirsten", 
-           family = "Birch Håkansson", 
-           role = c("aut"), 
+    person(given = "Kirsten",
+           family = "Birch Håkansson",
+           role = c("aut"),
            email = "kih@aqua.dtu.dk"),
-    person(given = "Karolina", 
-           family = "Molla Gazi", 
-           role = c("aut"), 
-           email = "karolina.mollagazi@wur.nl"),	
-    person(given = "Julia", 
-           family = "Wischnewski", 
-           role = c("aut"), 
-           email = "julia.wischnewski@thuenen.de"),			   
-    person(given = "Ana Cláudia", 
-           family = "Fernandes", 
-           role = c("aut"), 
+    person(given = "Karolina",
+           family = "Molla Gazi",
+           role = c("aut"),
+           email = "karolina.mollagazi@wur.nl"),
+    person(given = "Julia",
+           family = "Wischnewski",
+           role = c("aut"),
+           email = "julia.wischnewski@thuenen.de"),
+    person(given = "Ana Cláudia",
+           family = "Fernandes",
+           role = c("aut"),
            email = "acfernandes@ipma.pt"),
-    person(given = "Katarzyna", 
-           family = "Krakówka", 
-           role = c("aut"), 
+    person(given = "Katarzyna",
+           family = "Krakówka",
+           role = c("aut"),
            email = "kkrakowka@mir.gdynia.pl"),
-    person(given = "Marta", 
-           family = "Szymańska", 
-           role = c("aut"), 
-           email = "msuska@mir.gdynia.pl"),	 
-	person(given = "Nicolas", 
-           family = "Goñi", 
-           role = c("aut"), 
-           email = "nicolas.goni@luke.fi"),	
-	person(given = "Annica", 
-           family = "de Groote", 
-           role = c("ctb"), 
-           email = "annica.isaksson.de.groote@slu.se"),		   
-	person(given = "Jonathan", 
-           family = "Ball", 
-           role = c("ctb"), 
+    person(given = "Marta",
+           family = "Szymańska",
+           role = c("aut"),
+           email = "msuska@mir.gdynia.pl"),
+	person(given = "Nicolas",
+           family = "Goñi",
+           role = c("aut"),
+           email = "nicolas.goni@luke.fi"),
+	person(given = "Annica",
+           family = "de Groote",
+           role = c("ctb"),
+           email = "annica.isaksson.de.groote@slu.se"),
+	person(given = "Jonathan",
+           family = "Ball",
+           role = c("ctb"),
            email = "johnathan.ball@cefas.co.uk"),
-	person(given = "Jonathan", 
-           family = "Rault", 
-           role = c("ctb"), 
+	person(given = "Jonathan",
+           family = "Rault",
+           role = c("ctb"),
            email = "Jonathan.Rault@ifremer.fr"),
-	person(given = "Antti", 
-           family = "Sykkö", 
-           role = c("ctb"), 
+	person(given = "Antti",
+           family = "Sykkö",
+           role = c("ctb"),
            email = "antti.sykko@luke.fi"),
-	person(given = "Liz", 
-           family = "Clarke", 
-           role = c("ctb"), 
+	person(given = "Liz",
+           family = "Clarke",
+           role = c("ctb"),
            email = "Liz.Clarke@gov.scot"),
-	person(given = "Chun", 
-           family = "Chen", 
-           role = c("ctb"), 
+	person(given = "Chun",
+           family = "Chen",
+           role = c("ctb"),
            email = "chun.chen@wur.nl"),
-	person(given = "Hongru", 
-           family = "Zhai", 
-           role = c("ctb"), 
+	person(given = "Hongru",
+           family = "Zhai",
+           role = c("ctb"),
            email = "hongru.zhai@slu.se"),
-	person(given = "Eros", 
-           family = "Quesada", 
-           role = c("ctb"), 
+	person(given = "Eros",
+           family = "Quesada",
+           role = c("ctb"),
            email = "eros.quesada@slu.se"),
-	person(given = "Jonathan", 
-           family = "Stounberg", 
-           role = c("ctb"), 
+	person(given = "Jonathan",
+           family = "Stounberg",
+           role = c("ctb"),
            email = "jostou@aqua.dtu.dk"),
-		   person(given = "Ana", 
-           family = "Ribeiro Santos", 
-           role = c("ctb"), 
+		   person(given = "Ana",
+           family = "Ribeiro Santos",
+           role = c("ctb"),
            email = "ana.ribeirosantos@cefas.co.uk"),
-	person(given = "Jose", 
-           family = "Castro", 
-           role = c("ctb"), 
-           email = "jose.castro@ieo.es"),		   
-	person(given = "Jessica", 
-           family = "Craig", 
-           role = c("ctb"), 
-           email = "Jessica.Craig@gov.scot")		   
-           )
-Maintainer: Colin Millar <colin.millar@ices.dk>
-Description: The RDBEScore package provides functions to import and work with  
-    fisheries data downloaded from the ICES RDBES database. It also contains 
-    functions to perform estimation analysis using the resulting objects. 
+	person(given = "Jose",
+           family = "Castro",
+           role = c("ctb"),
+           email = "jose.castro@ieo.es"),
+	person(given = "Jessica",
+           family = "Craig",
+           role = c("ctb"),
+           email = "Jessica.Craig@gov.scot"),
+  person(given = "Colin", family = "Millar", role = "ctb"),
+  person(given = "Ejaz", family = "Muhammad", role = "ctb"))
+Maintainer: Richard Meitern <richard.meitern@ut.ee>
+Description: The RDBEScore package provides functions to import and work with
+    fisheries data downloaded from the ICES RDBES database. It also contains
+    functions to perform estimation analysis using the resulting objects.
 URL: https://github.com/ices-tools-dev/RDBEScore, https://rdbes.ices.dk, https://ices-tools-dev.github.io/RDBEScore/
 License: GPL-3 + file LICENSE
 Encoding: UTF-8
 LazyData: true
-RoxygenNote: 7.3.2
+RoxygenNote: 7.3.3
 Roxygen: list(markdown = TRUE)
-Suggests: 
+Suggests:
     knitr,
     rmarkdown,
     testthat
-Depends: 
+Depends:
     R (>= 4.1)
-Imports: 
-    dplyr (>= 1.1.3), 
+Imports:
+    dplyr (>= 1.1.3),
     data.table
 VignetteBuilder: knitr

From 797cb2ccf7f8d3f0236c1990ca387da182517f61 Mon Sep 17 00:00:00 2001
From: colin millar <colinpmillar@gmail.com>
Date: Wed, 11 Feb 2026 18:58:17 +0100
Subject: [PATCH 23/87] add downloadRDBESDataZip()

Co-authored-by: Jonathan-rault <Jonathan.Rault@ifremer.fr>
---
 DESCRIPTION                 |  4 +-
 NAMESPACE                   |  8 ++++
 R/downloadRDBESDataZip.R    | 82 +++++++++++++++++++++++++++++++++++++
 man/downloadRDBESDataZip.Rd | 40 ++++++++++++++++++
 4 files changed, 133 insertions(+), 1 deletion(-)
 create mode 100644 R/downloadRDBESDataZip.R
 create mode 100644 man/downloadRDBESDataZip.Rd

diff --git a/DESCRIPTION b/DESCRIPTION
index 4d269c6..c49cd31 100644
--- a/DESCRIPTION
+++ b/DESCRIPTION
@@ -121,5 +121,7 @@ Depends:
     R (>= 4.1)
 Imports:
     dplyr (>= 1.1.3),
-    data.table
+    data.table,
+    AzureAuth,
+    httr
 VignetteBuilder: knitr
diff --git a/NAMESPACE b/NAMESPACE
index d8eab86..dd3015b 100644
--- a/NAMESPACE
+++ b/NAMESPACE
@@ -11,6 +11,7 @@ export(createRDBESDataObject)
 export(createRDBESEstObject)
 export(doBVestimCANUM)
 export(doEstimationForAllStrata)
+export(downloadRDBESDataZip)
 export(estim)
 export(estimMC)
 export(exportEstimationResultsToInterCatchFormat)
@@ -34,6 +35,13 @@ export(updateSAwithTaxonFromSL)
 export(validateRDBESDataObject)
 export(validateRDBESEstObject)
 import(data.table)
+importFrom(AzureAuth,get_azure_token)
+importFrom(httr,GET)
+importFrom(httr,add_headers)
+importFrom(httr,content)
+importFrom(httr,http_status)
+importFrom(httr,parse_url)
+importFrom(httr,status_code)
 importFrom(stats,formula)
 importFrom(stats,na.omit)
 importFrom(stats,rnorm)
diff --git a/R/downloadRDBESDataZip.R b/R/downloadRDBESDataZip.R
new file mode 100644
index 0000000..1f7b9ee
--- /dev/null
+++ b/R/downloadRDBESDataZip.R
@@ -0,0 +1,82 @@
+#' Title
+#'
+#' need checks on argument format
+#'
+#' it seems that datatype = "CS" require a hierarchy value
+#'
+#' @param datatype description
+#' @param year description
+#' @param hierarchy description
+#' @param country description
+#' @param export_format description
+#' @param verbose description
+#' @param dir description
+#'
+#' @return result
+#'
+#' @importFrom AzureAuth get_azure_token
+#' @importFrom httr GET add_headers content status_code http_status parse_url
+#'
+#' @export
+#'
+downloadRDBESDataZip <- function(datatype = c("CE", "CL", "VD", "SL"), year, hierarchy = NULL, country = "FR", export_format = "TableWithIdsFormat", dir = ".", verbose = TRUE) {
+  # Authenticate and get token
+  az <- get_azure_token(
+    resource   = "api://18ab5ebb-1794-4e83-83f1-8fbd3dd5b152/rdbes.api.access",
+    tenant     = "e0b220ce-5735-4468-91df-05cae5ff1fdc",
+    app        = "b6347a7e-5f73-463a-81b1-3781d163de19",
+    version    = 2
+  )
+
+  # Extract the access token
+  access_token <- az$credentials$access_token
+
+  base_url <- "https://sboxrdbes.ices.dk/api/taf/export/data"
+
+  year_qry <- paste0("?year=", year)
+  country_qry <- paste0("&country=", country)
+  export_format_qry <- paste0("&exportformat=", export_format)
+  datatype_qry <- paste0("&datatype=", datatype)
+
+  mandatory_params <- paste0(year_qry, country_qry, datatype_qry, export_format_qry)
+
+  url <- paste0(base_url, mandatory_params)
+
+  if (datatype == "CS" && !is.null(hierarchy) && hierarchy %in% paste0("H", seq(1, 13))) {
+    hierarchy_qry <- paste0("&cshierarchy=", hierarchy)
+    url <- paste0(base_url, mandatory_params, hierarchy_qry)
+  }
+
+  response <- GET(
+    url = url,
+    add_headers(Authorization = paste("Bearer", access_token))
+  )
+
+  if (!status_code(response) == 200) {
+    cat("Failed to download:\n")
+    cat("  Status code      :", status_code(response), "\n")
+    cat("  Http status      :", http_status(response)$reason, "\n")
+    cat("  Detailed message :", content(response, "text"), "\n")
+    return(FALSE)
+  }
+
+  params_request <- parse_url(response$url)$query
+  if (is.null(file_name)) {
+    file_name <- paste0(params_request$datatype, "_", params_request$country, "_", params_request$year)
+    if ("cshierarchy" %in% names(params_request)) {
+      file_name <- paste0(file_name, "_", params_request$cshierarchy)
+    }
+  }
+
+  saving_file <- file.path(dir, paste0(file_name, ".zip"))
+
+  writeBin(content(response, "raw"), saving_file)
+
+  if (verbose) {
+    cat("Downloaded:", saving_file, "\n")
+    cat("  Status code      :", status_code(response), "\n")
+    cat("  Http status      :", http_status(response)$reason, "\n")
+  }
+
+  return(saving_file)
+}
diff --git a/man/downloadRDBESDataZip.Rd b/man/downloadRDBESDataZip.Rd
new file mode 100644
index 0000000..7e71a6e
--- /dev/null
+++ b/man/downloadRDBESDataZip.Rd
@@ -0,0 +1,40 @@
+% Generated by roxygen2: do not edit by hand
+% Please edit documentation in R/downloadRDBESDataZip.R
+\name{downloadRDBESDataZip}
+\alias{downloadRDBESDataZip}
+\title{Title}
+\usage{
+downloadRDBESDataZip(
+  datatype = c("CE", "CL", "VD", "SL"),
+  year,
+  hierarchy = NULL,
+  country = "FR",
+  export_format = "TableWithIdsFormat",
+  dir = ".",
+  verbose = TRUE
+)
+}
+\arguments{
+\item{datatype}{description}
+
+\item{year}{description}
+
+\item{hierarchy}{description}
+
+\item{country}{description}
+
+\item{export_format}{description}
+
+\item{dir}{description}
+
+\item{verbose}{description}
+}
+\value{
+result
+}
+\description{
+need checks on argument format
+}
+\details{
+it seems that datatype = "CS" require a hierarchy value
+}

From b4674ebe1ee3ad4625e35a5c7de4a7606d5a7f51 Mon Sep 17 00:00:00 2001
From: colin millar <colinpmillar@gmail.com>
Date: Wed, 11 Feb 2026 18:59:36 +0100
Subject: [PATCH 24/87] check fixes

---
 NAMESPACE             | 1 +
 R/doEstimationRatio.R | 2 +-
 2 files changed, 2 insertions(+), 1 deletion(-)

diff --git a/NAMESPACE b/NAMESPACE
index dd3015b..e5b6e9f 100644
--- a/NAMESPACE
+++ b/NAMESPACE
@@ -47,5 +47,6 @@ importFrom(stats,na.omit)
 importFrom(stats,rnorm)
 importFrom(stats,setNames)
 importFrom(utils,file_test)
+importFrom(utils,head)
 importFrom(utils,packageDescription)
 importFrom(utils,tail)
diff --git a/R/doEstimationRatio.R b/R/doEstimationRatio.R
index ca55af5..fc7bc21 100644
--- a/R/doEstimationRatio.R
+++ b/R/doEstimationRatio.R
@@ -29,7 +29,7 @@
 # TODO add an argument to toggle stratification in estimation on/off
 # TODO need to implement the BV conversion from typeMeas to typeAssess
 # TODO add info about the strata (species, area, season, metier/gear/fleet)
-#' @importFrom utils tail
+#' @importFrom utils tail head
 doEstimationRatio <- function(RDBESDataObj,
                               targetValue = "LengthComp",
                               raiseVar = "Weight",

From f9af737e681d250d7f3d2d9a547b5a6706afbc00 Mon Sep 17 00:00:00 2001
From: Richard Meitern <richard.meitern@gmail.com>
Date: Mon, 9 Mar 2026 15:46:15 +0200
Subject: [PATCH 25/87] Revert "#255 added mixed country object filtering"

---
 R/lowerTblData.R                             |  38 +-----
 R/upperTblData.R                             | 117 ++++---------------
 tests/testthat/test-getLinkedDataFromLevel.R |  23 ----
 3 files changed, 22 insertions(+), 156 deletions(-)

diff --git a/R/lowerTblData.R b/R/lowerTblData.R
index 2a75ded..9e2d8af 100644
--- a/R/lowerTblData.R
+++ b/R/lowerTblData.R
@@ -93,47 +93,11 @@ lowerTblData <- function(field, values, tbls, level, verbose = FALSE, path_order
 
   # Initialize and update path order to ensure the original search field stays first
   if (is.null(path_order)) path_order <- field
+  path_order <- unique(c(path_order, nextTblField))
 
   # values in next table for recursion
   nextTblValues <- nextTbl[get(field) %in% values, get(nextTblField)]
 
-  # Check if intermediate table has no matching data and if bypass is possible
-  if (length(nextTblValues) == 0 && length(values) > 0) {
-    # Look ahead to see if we can bypass this non-empty but non-matching table
-    # Only do this if values is non-empty (empty values can't match anything anyway)
-    tc_lookahead <- tc + 1
-    found_bypass <- FALSE
-
-    while(tc_lookahead + currTbl <= length(tbls)){
-      lookahead_tbl <- tbls[[currTbl + tc_lookahead]]
-      if(!is.null(lookahead_tbl) && is.data.frame(lookahead_tbl) && nrow(lookahead_tbl) > 0){
-        # Found next non-empty table, check if it has parent field
-        if(field %in% colnames(lookahead_tbl)){
-          found_bypass <- TRUE
-        }
-        break
-      }
-      tc_lookahead <- tc_lookahead + 1
-    }
-
-    if(found_bypass){
-      # Bypass this table with no matches and continue with the next table
-      if(verbose) {
-        cat(paste0("No matches in table ", names(tbls)[currTbl + tc], ", bypassing\n"))
-      }
-      tc <- tc + 1
-      nextTbl <- tbls[[currTbl + tc]]
-      nextTblField <- paste0(names(tbls)[currTbl + tc], "id")
-      # Recalculate nextTblValues with the new table
-      nextTblValues <- nextTbl[get(field) %in% values, get(nextTblField)]
-    }
-    # If no bypass found, continue with empty nextTblValues
-    # The recursion and merge logic will handle building the correct empty result
-  }
-
-  # Update path order after potential bypass
-  path_order <- unique(c(path_order, nextTblField))
-
   # NEW: build link (current id -> next id) so we can keep intermediate IDs
   linkDT <- unique(nextTbl[get(field) %in% values,
                            .(from = get(field), to = get(nextTblField))])
diff --git a/R/upperTblData.R b/R/upperTblData.R
index 24a61b1..62db3d6 100644
--- a/R/upperTblData.R
+++ b/R/upperTblData.R
@@ -35,14 +35,6 @@ upperTblData <- function(field, values, tbls, level, verbose = FALSE){
   if(!is.list(tbls)) stop("tbls must be a list")
   if(!level %in% names(tbls)) stop(level, " must be a character string in the names of the tables")
 
-  # Validate that all non-NULL tables are data.frames
-  for(i in seq_along(tbls)){
-    if(!is.null(tbls[[i]]) && !is.data.frame(tbls[[i]])){
-      # Try to access field to generate the expected error message
-      get(field)
-    }
-  }
-
   start <- substr(field, start=1, stop=2)
   if(start == level){
     res <- tbls[[level]]
@@ -55,9 +47,8 @@ upperTblData <- function(field, values, tbls, level, verbose = FALSE){
   }
   #skip NULL tables
   tc <- -1
-  if((currTbl+tc) < 1) stop("No table found")
   prevTbl <- names(tbls)[currTbl+tc]
-
+  
   while(is.null(tbls[[prevTbl]])){
     if(verbose){
       print(paste0("Skipping NULL table: ", prevTbl))
@@ -66,102 +57,36 @@ upperTblData <- function(field, values, tbls, level, verbose = FALSE){
     if((currTbl+tc) < 1) stop("No table found")
     prevTbl <- names(tbls)[currTbl+tc]
   }
-
-  # Now check if prevTbl is empty (0 rows) OR if prevTblfield doesn't exist in current table
+  
+  # Now check if prevTbl is empty (0 rows) and we can skip it
   prevTblfield <-  paste0(names(tbls)[currTbl+tc], "id")
-
-  # Check if we need to bypass this table (either empty or field doesn't exist in current table)
-  needs_bypass <- FALSE
   if(!is.null(tbls[[prevTbl]]) && is.data.frame(tbls[[prevTbl]]) && nrow(tbls[[prevTbl]]) == 0){
-    needs_bypass <- TRUE
-  } else if(!prevTblfield %in% colnames(tbl)){
-    needs_bypass <- TRUE
-  }
-
-  if(needs_bypass){
-    # Try to find a table we can bypass to
-    tc_bypass <- tc - 1
-    found_bypass <- FALSE
-
-    while((currTbl + tc_bypass) >= 1){
-      bypass_tbl_name <- names(tbls)[currTbl + tc_bypass]
-      bypass_tbl <- tbls[[bypass_tbl_name]]
-      bypass_field <- paste0(bypass_tbl_name, "id")
-
-      if(!is.null(bypass_tbl) && is.data.frame(bypass_tbl)){
-        # Check if current table has this field
-        if(bypass_field %in% colnames(tbl)){
-          # Check if this table is non-empty OR if we're at the target level
-          if(nrow(bypass_tbl) > 0 || bypass_tbl_name == level){
-            found_bypass <- TRUE
-            break
-          }
-        }
-      }
-      tc_bypass <- tc_bypass - 1
-    }
-
-    if(found_bypass){
-      # Bypass to the found table
+    # Empty intermediate table found - check if we can bypass it
+    if(!is.null(tbl) && is.data.frame(tbl) && prevTblfield %in% colnames(tbl)){
+      # Parent field exists in current table, can skip the empty intermediate
       if(verbose){
-        print(paste0("Bypassing ", prevTbl, " to ", names(tbls)[currTbl + tc_bypass]))
+        print(paste0("Skipping empty table: ", prevTbl, " - bypassing via ", prevTblfield))
+      }
+      # Continue recursively, skipping the empty table
+      tc <- tc - 1
+      if((currTbl+tc) < 1) {
+        # No more tables, return empty
+        return(tbls[[level]][0,])
       }
-      tc <- tc_bypass
-      prevTbl <- names(tbls)[currTbl + tc]
-      prevTblfield <- paste0(prevTbl, "id")
+      prevTbl <- names(tbls)[currTbl+tc]
+      prevTblfield <-  paste0(names(tbls)[currTbl+tc], "id")
+      # Recursively call with the new prevTblfield
+      prevTblvalues <- tbl[get(field) %in% values, get(prevTblfield)]
+      return(upperTblData(prevTblfield, prevTblvalues, tbls[1:currTbl], level, verbose))
     } else {
-      # No bypass possible - return empty result
+      # Can't bypass - return empty result
       if(verbose){
-        print(paste0("Cannot bypass ", prevTbl, " - returning empty"))
+        print(paste0("Empty table ", prevTbl, " cannot be bypassed - returning empty"))
       }
       return(tbls[[level]][0,])
     }
   }
 
   prevTblvalues <- tbl[get(field) %in% values, get(prevTblfield)]
-
-  # Check if all values are NA (no actual link to this table) or if there are no values
-  if(length(prevTblvalues) == 0 || all(is.na(prevTblvalues))){
-    # No matches or all NAs - check if we can bypass this table
-    if(!is.null(tbl) && is.data.frame(tbl)){
-      # Look for next non-NULL, non-empty table going backwards
-      tc_bypass <- tc - 1
-      found_bypass <- FALSE
-
-      while((currTbl + tc_bypass) >= 1){
-        bypass_tbl_name <- names(tbls)[currTbl + tc_bypass]
-        bypass_tbl <- tbls[[bypass_tbl_name]]
-        bypass_field <- paste0(bypass_tbl_name, "id")
-
-        if(!is.null(bypass_tbl) && is.data.frame(bypass_tbl) && nrow(bypass_tbl) > 0){
-          # Found a non-empty table, check if current table has its field
-          if(bypass_field %in% colnames(tbl)){
-            found_bypass <- TRUE
-          }
-          break
-        }
-        tc_bypass <- tc_bypass - 1
-      }
-
-      if(found_bypass){
-        # Bypass the table with no matches or all NAs
-        if(verbose){
-          if(length(prevTblvalues) == 0){
-            print(paste0("No matches in table ", prevTbl, ", bypassing"))
-          } else {
-            print(paste0("All NAs in table ", prevTbl, ", bypassing"))
-          }
-        }
-        # When bypassing, directly recurse without updating local variables
-        # to avoid issues with table subsetting
-        bypass_prevTbl <- names(tbls)[currTbl + tc_bypass]
-        bypass_prevTblfield <- paste0(bypass_prevTbl, "id")
-        bypass_prevTblvalues <- tbl[get(field) %in% values, get(bypass_prevTblfield)]
-        return(upperTblData(bypass_prevTblfield, bypass_prevTblvalues, tbls, level, verbose))
-      }
-      # If no bypass found, continue with empty prevTblvalues
-    }
-  }
-
-  upperTblData(prevTblfield,prevTblvalues, tbls, level, verbose)
+  upperTblData(prevTblfield,prevTblvalues, tbls[1:currTbl], level, verbose)
 }
diff --git a/tests/testthat/test-getLinkedDataFromLevel.R b/tests/testthat/test-getLinkedDataFromLevel.R
index 3fc443d..2413bfd 100644
--- a/tests/testthat/test-getLinkedDataFromLevel.R
+++ b/tests/testthat/test-getLinkedDataFromLevel.R
@@ -79,29 +79,6 @@ test_that("Retrieve data from VS based on BVfishId if There is an empty intermed
   expect_equal(nrow(res2), 3995)
 })
 
-test_that("Retrieve data from VS based on BVfishId if There is an non-empty intermedate FM table", {
-  h8 <- H8ExampleEE1
-
-  #add FM table to the rdbes object
-  h8[["FM"]] <- H1Example[["FM"]][1,]
-
-
-
-  result <- getLinkedDataFromLevel("BVfishId", c("410472143", "410472144"), h8, "VS")
-
-  # Check that the result is a data.table (or other expected data structure)
-  expect_s3_class(result, "data.table")
-
-  # Check that the result contains data (you can adjust this depending on known expected results)
-  expect_equal(nrow(result), 1)
-
-  #check also downwards direction
-  res2 <- getLinkedDataFromLevel("DEid", c(1), h8, "BV")
-
-  expect_s3_class(res2, "data.table")
-  expect_equal(nrow(res2), 3995)
-})
-
 
 
 

From 2b1964e739f55b97de4ff824f2c4a314db78f362 Mon Sep 17 00:00:00 2001
From: Richard Meitern <richard.meitern@gmail.com>
Date: Mon, 9 Mar 2026 15:50:09 +0200
Subject: [PATCH 26/87] Revert "skipping empty tables"

---
 R/lowerTblData.R | 40 +++++-----------------------------------
 R/upperTblData.R | 33 ++-------------------------------
 2 files changed, 7 insertions(+), 66 deletions(-)

diff --git a/R/lowerTblData.R b/R/lowerTblData.R
index 9e2d8af..8f539bf 100644
--- a/R/lowerTblData.R
+++ b/R/lowerTblData.R
@@ -41,43 +41,13 @@ lowerTblData <- function(field, values, tbls, level, verbose = FALSE, path_order
   }
   currTbl <- which(start == names(tbls))
 
-  # assumes tables are in correct order; skip NULL and empty tables if bypassing is possible
+  # assumes tables are in correct order and no empty tables
   tc <- 1
   nextTbl <- tbls[[currTbl + tc]]
-  nextTblField <- paste0(names(tbls)[currTbl + tc], "id")
-
-  while (is.null(nextTbl) || (is.data.frame(nextTbl) && nrow(nextTbl) == 0)) {
-    # Look ahead to the next non-empty table to check if it has the parent ID field
-    tc_lookahead <- tc + 1
-    found_bypass <- FALSE
-
-    while(tc_lookahead + currTbl <= length(tbls)){
-      lookahead_tbl <- tbls[[currTbl + tc_lookahead]]
-      if(!is.null(lookahead_tbl) && is.data.frame(lookahead_tbl) && nrow(lookahead_tbl) > 0){
-        # Found next non-empty table, check if it has parent field
-        if(field %in% colnames(lookahead_tbl)){
-          found_bypass <- TRUE
-        }
-        break
-      }
-      tc_lookahead <- tc_lookahead + 1
-    }
-
-    if(found_bypass){
-      if(verbose) {
-        cat(paste0("Skipping empty or NULL table: ", names(tbls)[currTbl + tc], "\n"))
-      }
-      tc <- tc + 1
-      if(currTbl + tc > length(tbls)) stop("No more lower tables found")
-      nextTbl <- tbls[[currTbl + tc]]
-      nextTblField <- paste0(names(tbls)[currTbl + tc], "id")
-    } else {
-      # No bypass possible - this is a true empty result
-      if(verbose) {
-        cat(paste0("Empty table ", names(tbls)[currTbl + tc], " with no bypass - returning empty result\n"))
-      }
-      return(tbls[[level]][0,])
-    }
+  while (is.null(nextTbl)) {
+    tc <- tc + 1
+    if(currTbl + tc > length(tbls)) stop("No more lower tables found")
+    nextTbl <- tbls[[currTbl + tc]]
   }
 
   nextTblField <- paste0(names(tbls)[currTbl + tc], "id")
diff --git a/R/upperTblData.R b/R/upperTblData.R
index 62db3d6..9bb62ad 100644
--- a/R/upperTblData.R
+++ b/R/upperTblData.R
@@ -48,45 +48,16 @@ upperTblData <- function(field, values, tbls, level, verbose = FALSE){
   #skip NULL tables
   tc <- -1
   prevTbl <- names(tbls)[currTbl+tc]
-  
   while(is.null(tbls[[prevTbl]])){
     if(verbose){
-      print(paste0("Skipping NULL table: ", prevTbl))
+      print(paste0("Skipping: ", prevTbl))
     }
     tc <- tc - 1
     if((currTbl+tc) < 1) stop("No table found")
     prevTbl <- names(tbls)[currTbl+tc]
+
   }
-  
-  # Now check if prevTbl is empty (0 rows) and we can skip it
   prevTblfield <-  paste0(names(tbls)[currTbl+tc], "id")
-  if(!is.null(tbls[[prevTbl]]) && is.data.frame(tbls[[prevTbl]]) && nrow(tbls[[prevTbl]]) == 0){
-    # Empty intermediate table found - check if we can bypass it
-    if(!is.null(tbl) && is.data.frame(tbl) && prevTblfield %in% colnames(tbl)){
-      # Parent field exists in current table, can skip the empty intermediate
-      if(verbose){
-        print(paste0("Skipping empty table: ", prevTbl, " - bypassing via ", prevTblfield))
-      }
-      # Continue recursively, skipping the empty table
-      tc <- tc - 1
-      if((currTbl+tc) < 1) {
-        # No more tables, return empty
-        return(tbls[[level]][0,])
-      }
-      prevTbl <- names(tbls)[currTbl+tc]
-      prevTblfield <-  paste0(names(tbls)[currTbl+tc], "id")
-      # Recursively call with the new prevTblfield
-      prevTblvalues <- tbl[get(field) %in% values, get(prevTblfield)]
-      return(upperTblData(prevTblfield, prevTblvalues, tbls[1:currTbl], level, verbose))
-    } else {
-      # Can't bypass - return empty result
-      if(verbose){
-        print(paste0("Empty table ", prevTbl, " cannot be bypassed - returning empty"))
-      }
-      return(tbls[[level]][0,])
-    }
-  }
-
   prevTblvalues <- tbl[get(field) %in% values, get(prevTblfield)]
   upperTblData(prevTblfield,prevTblvalues, tbls[1:currTbl], level, verbose)
 }

From 90309705303adc7f23639888071dea02f2c848b4 Mon Sep 17 00:00:00 2001
From: Richard Meitern <richard.meitern@gmail.com>
Date: Mon, 9 Mar 2026 16:21:18 +0200
Subject: [PATCH 27/87] #255 fixing for 0 rows tables

---
 R/lowerTblData.R                   |  2 +-
 R/upperTblData.R                   | 19 +++++++++++--------
 tests/testthat/test-upperTblData.R |  2 +-
 3 files changed, 13 insertions(+), 10 deletions(-)

diff --git a/R/lowerTblData.R b/R/lowerTblData.R
index 8f539bf..7512b3b 100644
--- a/R/lowerTblData.R
+++ b/R/lowerTblData.R
@@ -44,7 +44,7 @@ lowerTblData <- function(field, values, tbls, level, verbose = FALSE, path_order
   # assumes tables are in correct order and no empty tables
   tc <- 1
   nextTbl <- tbls[[currTbl + tc]]
-  while (is.null(nextTbl)) {
+  while (is.null(nextTbl) || nrow(nextTbl) == 0) {
     tc <- tc + 1
     if(currTbl + tc > length(tbls)) stop("No more lower tables found")
     nextTbl <- tbls[[currTbl + tc]]
diff --git a/R/upperTblData.R b/R/upperTblData.R
index 9bb62ad..298c49b 100644
--- a/R/upperTblData.R
+++ b/R/upperTblData.R
@@ -48,15 +48,18 @@ upperTblData <- function(field, values, tbls, level, verbose = FALSE){
   #skip NULL tables
   tc <- -1
   prevTbl <- names(tbls)[currTbl+tc]
-  while(is.null(tbls[[prevTbl]])){
-    if(verbose){
-      print(paste0("Skipping: ", prevTbl))
+  tryCatch({
+    while(is.null(tbls[[prevTbl]]) || nrow(tbls[[prevTbl]]) == 0){
+      if(verbose){
+        print(paste0("Skipping: ", prevTbl))
+      }
+      tc <- tc - 1
+      if((currTbl+tc) < 1) stop("No table found")
+      prevTbl <- names(tbls)[currTbl+tc]
     }
-    tc <- tc - 1
-    if((currTbl+tc) < 1) stop("No table found")
-    prevTbl <- names(tbls)[currTbl+tc]
-
-  }
+  }, error = function(e) {
+    stop("Error in linking tables ", names(tbls)[currTbl], " and ",prevTbl)
+  })
   prevTblfield <-  paste0(names(tbls)[currTbl+tc], "id")
   prevTblvalues <- tbl[get(field) %in% values, get(prevTblfield)]
   upperTblData(prevTblfield,prevTblvalues, tbls[1:currTbl], level, verbose)
diff --git a/tests/testthat/test-upperTblData.R b/tests/testthat/test-upperTblData.R
index 00a62a8..fed699b 100644
--- a/tests/testthat/test-upperTblData.R
+++ b/tests/testthat/test-upperTblData.R
@@ -44,7 +44,7 @@ test_that("upperTblData works with sorted RDBESDataObjects", {
 })
 
 test_that("upperTblData throws error for incorrect tbls type", {
-  expect_error(upperTblData("VSid", c(1), list(DE = 1, SD = 2, VS = 3), "DE"), "object 'VSid' not found")
+  expect_error(upperTblData("VSid", c(1), list(DE = 1, SD = 2, VS = 3), "DE"), "Error in linking tables VS and SD")
 })
 
 test_that("upperTblData throws error for incorrect level", {

From b603dc825d970ccaf2001960b4c692f73af005c4 Mon Sep 17 00:00:00 2001
From: karolinamg <mollagazik@gmail.com>
Date: Tue, 10 Mar 2026 16:15:59 +0100
Subject: [PATCH 28/87] Update doEstimationRatio.R function

---
 R/doEstimationRatio.R | 747 ++++++++++++++++++++++--------------------
 1 file changed, 389 insertions(+), 358 deletions(-)

diff --git a/R/doEstimationRatio.R b/R/doEstimationRatio.R
index fc7bc21..3efb3e4 100644
--- a/R/doEstimationRatio.R
+++ b/R/doEstimationRatio.R
@@ -1,473 +1,504 @@
 #' Estimate Numbers and Mean Values by Length or Age Class
 #'
-#' The function is under development and does not work yet.
+#' @param RDBESDataObj A validated RDBESDataObject containing hierarchical
+#'   sampling and biological data. Must include relevant tables (SA, FM,
+#'   and/or BV) depending on the lower hierarchy.
+#' @param targetValue A character string specifying the type of composition to
+#'   estimate. Options are \code{"LengthComp"} or \code{"AgeComp"}.
+#' @param raiseVar The raising variable used to construct the ratio estimator.
+#'   Options are \code{"Weight"} (SAtotalWtMes / SAsampWtMes),
+#'   \code{"Count"} (SAnumTotal / SAnumSamp), or any other value which will
+#'   use \code{SAauxVarValue} directly as the raise factor.
+#' @param classUnits Units of the length class intervals, e.g. \code{"mm"} or
+#'   \code{"cm"}. Used only for \code{targetValue = "LengthComp"}: in LH A
+#'   and B, checks consistency with FM data; in LH C, used to interpret raw BV
+#'   lengths before class assignment.
+#'   Codes: \url{https://vocab.ices.dk/?ref=1608}
+#' @param classBreaks A numeric vector of three values:
+#'   \code{c(min, max, width)}. Defines the length class intervals. Used only
+#'   for \code{targetValue = "LengthComp"}.
+#' @param LWparam A numeric vector of length two \code{c(a, b)} specifying the
+#'   weight-length relationship (W = a * L^b). Used in LH A and B when
+#'   individual weights are absent from BV but lengths are available.
+#' @param lowerAux Not implemented.
+#' @param verbose Logical; if \code{TRUE}, informational messages are printed
+#'   during processing.
 #'
-#' @param RDBESDataObj A validated RDBESDataObject containing hierarchical sampling and biological data. Must include appropriate tables (e.g., CL, CE, SA, FM, or BV) depending on estimation requirements.
-#' @param targetValue A character string specifying the type of composition to estimate. Options are "LengthComp" or "AgeComp".
-#' @param raiseVar The variable used to construct the ratio.
-#' @param classUnits Units of the class intervals for length or age, typically "mm" for millimeters or "cm" for centimeters. Used in defining class intervals. In lower hierarchy A, the argument is used to check if that the length classes provided. For lower hierarchy B, it transforms the lengths. Codes: https://vocab.ices.dk/?ref=1608
-#' @param classBreaks A numeric vector of three values: minimum value, maximum value, and class width (e.g., c(100, 300, 10)). Defines the class intervals for grouping lengths. In lower hierarchy A, the argument is used to check if that the length classes provided. For lower hierarchy B, it transforms the lengths.
-#' @param LWparam A numeric vector of length two specifying parameters (a, b) for the weight-length relationship (W = a * L^b). Used if no direct weights are available but lengths are provided.
-#' @param lowerAux A numeric or character vector referencing a variable in the SA table used as an auxiliary variable for ratio estimation (e.g., sample weights, sub-sample expansion factors).
-#' @param verbose Logical; if TRUE, detailed messages are printed during processing.
+#' @return A \code{data.table} with estimated numbers at length or age and
+#'   associated mean values. Key output columns:
+#'   \itemize{
+#'     \item \code{LengthClass} or \code{Age} — the grouping variable
+#'     \item \code{NumbersAtLength} or \code{NumbersAtAge} — raised estimates
+#'     \item \code{MeanWeightAtLength} or \code{BVMeanWeight} — mean weight
+#'     \item \code{MeanLengthAtAge} — mean length at age (AgeComp only)
+#'     \item \code{raiseFactor} — the SA-level raise factor applied
+#'   }
 #'
-#' @return A list or data.table containing the estimated numbers at length or age and associated mean values such as weight and length, depending on input and target type.
-# InterCatch age composition data
-# Numbers at age
-# Mean weight at age
-# Mean length at age
-# Intercatch length composition data
-# Numbers at legth
-# Mean weight at length
-## Measure indv weight of fish
-## LW relationship: a, b parameters
-# For now assume we have all the data we need
-# Counts, indv weights, lengths (mm) and ages
-# TODO check differences if length classes are defined later
-# Unit conversion later step : for LC
-# TODO add check for unique sampling scheme
-# TODO add an argument to toggle stratification in estimation on/off
-# TODO need to implement the BV conversion from typeMeas to typeAssess
-# TODO add info about the strata (species, area, season, metier/gear/fleet)
-#' @importFrom utils tail head
+#' @details
+#' The three lower hierarchies differ in which tables are present:
+#' \itemize{
+#'   \item \strong{LH A}: \code{SA -> FM -> BV}. FM holds the length-frequency;
+#'     BV holds individual biological measurements for a subsample of
+#'     fish within each FM length class. Supports both LengthComp and AgeComp.
+#'   \item \strong{LH B}: \code{SA -> FM} only. FM holds the length-frequency;
+#'     no individual biological measurements (no BV). Supports
+#'     LengthComp only; AgeComp is not possible without BV.
+#'   \item \strong{LH C}: \code{SA -> BV} only. Individual biological
+#'     measurements link directly to SA; no FM length-frequency tally.
+#'     Supports both LengthComp and AgeComp.
+#' }
+#'
+#' @importFrom utils tail
 doEstimationRatio <- function(RDBESDataObj,
-                              targetValue = "LengthComp",
-                              raiseVar = "Weight",
-                              classUnits = "mm",
-                              classBreaks = c(100, 300, 10), # cut
-                              LWparam = NULL, # vector of two values
-                              lowerAux = NULL, # should we keep this ?The aux var is now included as a field in the RDBES
-                              verbose = FALSE){
-
-
-# Checks ------------------------------------------------------------------
-  # Check we have a valid RDBESEstObject before doing anything else
-  # Need that because the selection is by column name
-  RDBEScore::validateRDBESDataObject(RDBESDataObj, verbose = FALSE)
+                              targetValue  = "LengthComp",
+                              raiseVar     = "Weight",
+                              classUnits   = "mm",
+                              classBreaks  = c(100, 300, 10),
+                              LWparam      = NULL,
+                              lowerAux     = NULL,
+                              verbose      = FALSE) {
 
-  # Unique upper hierarchy
-  if(length(unique(RDBESDataObj$DE$DEhierarchy)) > 1){
-    stop("Multiple upper hierarchies not implemented")}
-  # Unique lower hierarchy
-  if(length(unique(RDBESDataObj$SA$SAlowHierarchy)) > 1){
-    stop("Multiple lower hierarchies not allowed")
-  }
 
-  # Filter out NULL tables
-  # RDBESEstRatioObj <- Filter(Negate(is.null),RDBESDataObj)
-  RDBESEstRatioObj <- Filter(Negate(is.null),myFilteredObject)
+  # ---------------------------------------------------------------------------
+  # Checks
+  # ---------------------------------------------------------------------------
 
+  RDBEScore::validateRDBESDataObject(RDBESDataObj, verbose = FALSE)
 
-  # If no individual weight of fish in BV, then can't run raiseVar = Weight
-  # because we don't have the weight of the subsample
-  if(unique(RDBESEstRatioObj$SA$SAlowHierarchy) == "A") {
-    weightVar <- grep("(?i)weight", unique(RDBESEstRatioObj$BV$BVtypeMeas), value = TRUE)
-    if (is.null(weightVar) || length(weightVar) == 0 || all(is.na(weightVar))){
-      stop("no individual weight measured")
-    }
-  }
+  if (length(unique(RDBESDataObj$DE$DEhierarchy)) > 1)
+    stop("Multiple upper hierarchies not implemented")
 
-  # Does anything exist after SA?
-  # Do we need that?
+  if (length(unique(RDBESDataObj$SA$SAlowHierarchy)) > 1)
+    stop("Multiple lower hierarchies not allowed")
 
-  # if(length(unique(names(RDBESEstRatioObj))) > 1){
-  #   if(!tail(names(RDBESEstRatioObj), n = 1) %in% c("FM", "BV")){
-  #     stop("No FM or BV tables provided")
-  #   }
-  # }
+  RDBESEstRatioObj <- Filter(Negate(is.null), RDBESDataObj)
 
-  # Add if object has only one species
+  lh <- unique(RDBESEstRatioObj$SA$SAlowHierarchy)
 
-  # if(length(unique(myFilteredObject$SA$SAspeCode)) > 1){
-  #     stop("Multiple species raising not yet implemented")
-  # }
+  # Warn if length-class arguments are passed but irrelevant
+  if (targetValue == "AgeComp") {
+    if (!missing(classUnits))
+      warning("'classUnits' is ignored when targetValue = 'AgeComp'.")
+    if (!missing(classBreaks))
+      warning("'classBreaks' is ignored when targetValue = 'AgeComp'.")
+  }
 
-  # Function to check consistency between the user input and the FM table for
-  # length raising
-  # TODO Should this be moved to utils?
+  # AgeComp is not possible without individual fish records
+  if (targetValue == "AgeComp" && lh == "B")
+    stop("AgeComp is not possible with lower hierarchy B: LH B has no individual ",
+         "fish records (no BV table). Use LH A or LH C for age composition.")
 
-  checkLC <- function(fm, classUnits, classBreaks) {
-    # https://vocab.ices.dk/?ref=1608
-    vocabUnits <-   c("mm", "25mm", "cm", "5cm", "scm", "smm")
-    fmUnits <- unique(fm$FMaccuracy)
-    # Check user input validity
-    if (!classUnits %in% vocabUnits) {
-      stop(paste("Invalid classUnits:", classUnits,
-                 "\nMust be one of:", paste(vocabUnits, collapse = ", ")))
-    }
+  # ---------------------------------------------------------------------------
+  # Get the appropriate weight for raising
+  # ---------------------------------------------------------------------------
 
-    if (length(fmUnits) > 1) {
-      # Needs to break here
-      stop("Multiple class units found in data: ", paste(fmUnits, collapse = ", "))
-    }
+  wcol <- NULL
 
-    # Compare user input with data
-    if (!classUnits %in% fmUnits) {
-      stop(paste("Mismatch between user-specified classUnits (", classUnits,
-                 ") and data units (", paste(fmUnits, collapse = ", "), ")."))
-    }
+  bv_present <- !is.null(RDBESEstRatioObj$BV)
 
-    # Check classBreaks consistency
-    fmBreaks <- range(fm$FMclassMeas, na.rm = TRUE)
-    userRange <- range(seq(classBreaks[1], classBreaks[2], classBreaks[3]))
+  if (bv_present) {
 
-    if (any(userRange != fmBreaks)) {
-      stop("classBreaks (", paste(userRange, collapse = "-"),
-              ") differ from observed data range (", paste(fmBreaks, collapse = "-"), ").")
-    }
+    weightVar <- grep("(?i)weight", unique(RDBESEstRatioObj$BV$BVtypeMeas),
+                      value = TRUE, perl = TRUE)
 
-    message("Length class checks passed: Units and breaks are consistent.")
-  }
+    if (lh == "A" && (length(weightVar) == 0 || all(is.na(weightVar))))
+      stop("No individual weight measured in BV (required for lower hierarchy A)")
 
-  # TODO (to be developed) match with pop (Landings or Effort)
-  # RDBESEstRatioObj <- RDBESDataObj[c("CL", "CE",  RDBEScore::getTablesInRDBESHierarchy(DEhierarchy))]
-
-
-# raiseVar options --------------------------------------------------------
-
-  # Can have multiple types of weight measured for the same individual
-  # If the user defined in the raiseVar argument one of the options in the ICES vocab for
-  # the weight codes in the field BVtypeMeas
-  # If there is only one present, this is used by default
-  # If more than one are present, allow the user to choose
-
-
-  possibleValues  <- unique(RDBESEstRatioObj$BV$BVtypeMeas)
-  if(!raiseVar %in% possibleValues){
-    if(raiseVar == "Weight"){
-      if(unique(RDBESEstRatioObj$SA$SAlowHierarchy) == "B" ){
-        stop("Lower hierarchy B not implemented for weight")
-      }else{
-        weightVar <- grep("(?i)weight", unique(RDBESEstRatioObj$BV$BVtypeMeas), value = TRUE)
-        if (interactive()) {
-          if(length(unique(weightVar)) > 1) {
-            # Print a numbered menu and get user's selection
-            idx <- utils::menu(weightVar, title = "Select the BV weight type to use:")
-            if (idx == 0L) stop("Selection cancelled.")
-            wcol <- weightVar[idx]
-          } else {
-            message("Only one weight type present. Using: ", weightVar[1L])
-            wcol <- weightVar[1L]
-          }
-        }
+    if (length(weightVar) > 0) {
+      if (interactive() && length(unique(weightVar)) > 1) {
+        idx <- utils::menu(weightVar, title = "Select the BV weight type to use:")
+        if (idx == 0L) stop("Selection cancelled.")
+        wcol <- weightVar[idx]
+      } else {
+        if (length(unique(weightVar)) > 1)
+          message("Multiple weight types found; using first: ", weightVar[1L])
+        else if (verbose)
+          message("Only one weight type present. Using: ", weightVar[1L])
+        wcol <- weightVar[1L]
       }
     }
   }
 
+  # ---------------------------------------------------------------------------
+  # Helpers - SHould be moved to utils?
+  # ---------------------------------------------------------------------------
+
+  # Check FM length-class consistency (LH A and B)
+  checkLC <- function(fm, classUnits, classBreaks) {
+    vocabUnits <- c("mm", "25mm", "cm", "5cm", "scm", "smm")
+    fmUnits    <- unique(fm$FMaccuracy)
+
+    if (!classUnits %in% vocabUnits)
+      stop(paste("Invalid classUnits:", classUnits,
+                 "\nMust be one of:", paste(vocabUnits, collapse = ", ")))
+    if (length(fmUnits) > 1)
+      stop("Multiple class units found in FM data: ", paste(fmUnits, collapse = ", "))
+    if (!classUnits %in% fmUnits)
+      stop(paste("Mismatch: user classUnits (", classUnits,
+                 ") vs FM data units (", paste(fmUnits, collapse = ", "), ")."))
+
+    fmBreaks  <- range(fm$FMclassMeas, na.rm = TRUE)
+    userRange <- range(seq(classBreaks[1], classBreaks[2], classBreaks[3]))
+    if (any(userRange != fmBreaks))
+      stop("classBreaks (", paste(userRange, collapse = "-"),
+           ") differ from FM data range (", paste(fmBreaks, collapse = "-"), ").")
 
+    message("Length class checks passed: units and breaks are consistent.")
+  }
 
+  brks <- seq(classBreaks[1], classBreaks[2], by = classBreaks[3])
 
+  assignLengthClass <- function(lengths) {
+    cut(lengths,
+        breaks         = brks,
+        right          = FALSE,
+        include.lowest = TRUE,
+        labels         = head(brks, -1))
+  }
 
+  # Unit conversion for individual BV lengths (LH C) - Should ICES vocab used directly here?
+  convertLength <- function(x, fromUnit, toUnit) {
+    toMM <- switch(fromUnit,
+      "mm"   = 1, "cm"   = 10, "25mm" = 25, "5cm"  = 50,
+      stop("Unknown fromUnit: ", fromUnit))
+    fromMM <- switch(toUnit,
+      "mm"   = 1, "cm"   = 10, "25mm" = 25, "5cm"  = 50,
+      stop("Unknown toUnit: ", toUnit))
+    x * toMM / fromMM
+  }
 
-# Length composition ------------------------------------------------------
-  if(targetValue == "LengthComp"){
+  # Derive individual BV weights from wcol or LW relationship
+  addBVweight <- function(bv_wide, lengthVar = NULL) {
+    if (!is.null(wcol) && wcol %in% names(bv_wide)) {
+      bv_wide[, BVweight := as.numeric(bv_wide[[wcol]])]
+    } else if (!is.null(LWparam) && !is.null(lengthVar) && lengthVar %in% names(bv_wide)) {
+      bv_wide[, BVweight := LWparam[1] * as.numeric(bv_wide[[lengthVar]]) ^ LWparam[2]]
+    } else {
+      bv_wide[, BVweight := NA_real_]
+    }
+    bv_wide
+  }
 
+  # Apply SA-level raise factor
+  applySARaise <- function(su, numbersInCol, numbersOutCol) {
+    if (raiseVar == "Weight") {
+      su[, raiseFactor := SAtotalWtMes / SAsampWtMes]
+    } else if (raiseVar == "Count") {
+      su[, raiseFactor := SAnumTotal / SAnumSamp]
+    } else {
+      su[, raiseFactor := as.numeric(SAauxVarValue)]
+    }
+    su[, (numbersOutCol) := get(numbersInCol) * raiseFactor]
+    su
+  }
 
-# LH A & B ----------------------------------------------------------------
-    if(unique(RDBESEstRatioObj$SA$SAlowHierarchy) %in% c("A", "B")){
+  # SA columns used across branches
+  saCols <- c("SAid", "SAlowHierarchy", "SAtotalWtMes", "SAsampWtMes",
+              "SAnumTotal", "SAnumSamp", "SAauxVarValue", "SAauxVarUnit")
 
-      # TODO mean weight at length
-      # TODO this should not break if only the len comp is required
 
-      # if(!is.null(LWparam)){
-      #
-      #   stop("Not yet implemented")
-      #
-      # }else{
-      #   # else stop
-      #   stop("Nor an auxiliary variable nor lw params are provided. Not possible to produce the mean weight at length")
-      # }
+  # ===========================================================================
+  # LENGTH COMPOSITION
+  # ===========================================================================
 
+  if (targetValue == "LengthComp") {
 
+    # -------------------------------------------------------------------------
+    # LH A: SA -> FM -> BV
+    # FM holds the length-frequency. BV (if present) provides individual
+    # weights for MeanWeightAtLength; otherwise LWparam is used.
+    # -------------------------------------------------------------------------
 
+    if (lh == "A") {
 
-      # Select only FM data for now - BV possibly used for ALK
-      warning("If lower hierarchy A, only the FM table is used to calculate the numbers at length.")
+      warning("Lower hierarchy A: only the FM table is used to calculate numbers at length.")
 
       fm <- data.table::setDT(RDBESEstRatioObj$FM)
       sa <- data.table::setDT(RDBESEstRatioObj$SA)
 
-      # Need to check uniqueness of FM length type assess
-      # if(length(unique(fm$FMtypeAssess)) > 1){
-      #   stop("The measurement type of the class needed for assessment (FMtypeAssess) needs to be unique")
-      # }
-
-      # It should break here if there is no match
-      checkLC(
-        fm = fm,
-        classUnits = classUnits,
-        classBreaks = classBreaks
-      )
-
-      fm <- fm[fm, unique(.SD), .SDcols = c("SAid", "FMid", "FMclassMeas", "FMnumAtUnit", "FMaccuracy", "FMtypeAssess")]
-      sa <- sa[, unique(.SD), .SDcols = c("SAid", "SAlowHierarchy", "SAtotalWtMes" , "SAsampWtMes",  "SAnumTotal", "SAnumSamp", "SAauxVarValue", "SAauxVarUnit" )]
-
-      brks <- seq(classBreaks[1], classBreaks[2], by = classBreaks[3])
-      fm[, LengthClass := cut(
-        FMclassMeas,
-        breaks = brks,
-        right = FALSE,             # [)
-        include.lowest = TRUE,
-        labels = head(brks, -1)
-      )]
+      checkLC(fm = fm, classUnits = classUnits, classBreaks = classBreaks)
+
+      fm <- fm[, unique(.SD), .SDcols = c("SAid", "FMid", "FMclassMeas",
+                                           "FMnumAtUnit", "FMaccuracy", "FMtypeAssess")]
+      sa <- sa[, unique(.SD), .SDcols = saCols]
+      sa[, SAauxVarValue := as.numeric(SAauxVarValue)]
+
+      fm[, LengthClass := assignLengthClass(FMclassMeas)]
 
       fm1 <- fm[
         , .(FMNumbersAtLength = sum(FMnumAtUnit, na.rm = TRUE)),
         by = .(SAid, LengthClass)
-      ][
-        , FMTotCount := sum(FMNumbersAtLength, na.rm = TRUE),
-        by = SAid
-      ]
+      ][, FMTotCount := sum(FMNumbersAtLength, na.rm = TRUE), by = SAid]
+
+      su <- merge(fm1, sa, by = "SAid")
+      su <- applySARaise(su,
+                         numbersInCol  = "FMNumbersAtLength",
+                         numbersOutCol = "NumbersAtLength")
+
+      # Mean weight at length: from BV individual weights or LW relationship
+      if (bv_present && !is.null(wcol)) {
+        bv    <- data.table::setDT(RDBESEstRatioObj$BV)
+        bv_w  <- bv[BVtypeMeas == wcol,
+                    .(FMid, BVweight = as.numeric(BVvalueMeas))]
+        bv_lc <- merge(bv_w, fm[, .(FMid, SAid, LengthClass)], by = "FMid")
+        mean_w <- bv_lc[, .(MeanWeightAtLength = mean(BVweight, na.rm = TRUE)),
+                        by = .(SAid, LengthClass)]
+        su <- merge(su, mean_w, by = c("SAid", "LengthClass"), all.x = TRUE)
+      } else if (!is.null(LWparam)) {
+        fm_lw <- fm[, .(LengthClass, FMclassMeas)][, .SD[1], by = LengthClass]
+        fm_lw[, MeanWeightAtLength := LWparam[1] * FMclassMeas ^ LWparam[2]]
+        su <- merge(su, fm_lw[, .(LengthClass, MeanWeightAtLength)],
+                    by = "LengthClass", all.x = TRUE)
+      } else {
+        if (verbose)
+          message("No BV weights or LWparam supplied: MeanWeightAtLength set to NA.")
+        su[, MeanWeightAtLength := NA_real_]
+      }
 
-      su <- merge(fm1, sa, by = c("SAid"))
+      return(su)
+    }
 
-      if(raiseVar == "Weight"){
+    # -------------------------------------------------------------------------
+    # LH B: SA -> FM only
+    # FM holds the length-frequency; no BV table exists.
+    # MeanWeightAtLength can only be derived from LWparam.
+    # -------------------------------------------------------------------------
 
-        su$raiseFactor <- su$SAtotalWtMes/su$SAsampWtMes
-        su$NumbersAtLength <- su$raiseFactor*su$FMNumbersAtLength
+    if (lh == "B") {
 
-      }else if(raiseVar == "Count"){
+      fm <- data.table::setDT(RDBESEstRatioObj$FM)
+      sa <- data.table::setDT(RDBESEstRatioObj$SA)
 
-        su$raiseFactor <- su$SAnumTotal/su$SAnumSamp
-        su$NumbersAtLength <- su$raiseFactor*su$FMNumbersAtLength
+      checkLC(fm = fm, classUnits = classUnits, classBreaks = classBreaks)
 
-      }else{
+      fm <- fm[, unique(.SD), .SDcols = c("SAid", "FMid", "FMclassMeas",
+                                           "FMnumAtUnit", "FMaccuracy", "FMtypeAssess")]
+      sa <- sa[, unique(.SD), .SDcols = saCols]
+      sa[, SAauxVarValue := as.numeric(SAauxVarValue)]
 
-        su$NumbersAtLength <- su$SAauxVarValue*su$FMNumbersAtLength
+      fm[, LengthClass := assignLengthClass(FMclassMeas)]
 
+      fm1 <- fm[
+        , .(FMNumbersAtLength = sum(FMnumAtUnit, na.rm = TRUE)),
+        by = .(SAid, LengthClass)
+      ][, FMTotCount := sum(FMNumbersAtLength, na.rm = TRUE), by = SAid]
+
+      su <- merge(fm1, sa, by = "SAid")
+      su <- applySARaise(su,
+                         numbersInCol  = "FMNumbersAtLength",
+                         numbersOutCol = "NumbersAtLength")
+
+      # Mean weight at length: LWparam only (no BV in LH B)
+      if (!is.null(LWparam)) {
+        fm_lw <- fm[, .(LengthClass, FMclassMeas)][, .SD[1], by = LengthClass]
+        fm_lw[, MeanWeightAtLength := LWparam[1] * FMclassMeas ^ LWparam[2]]
+        su <- merge(su, fm_lw[, .(LengthClass, MeanWeightAtLength)],
+                    by = "LengthClass", all.x = TRUE)
+      } else {
+        if (verbose)
+          message("No LWparam supplied: MeanWeightAtLength set to NA.")
+        su[, MeanWeightAtLength := NA_real_]
       }
 
       return(su)
+    }
 
+    # -------------------------------------------------------------------------
+    # LH C: SA -> BV only
+    # No FM table. Individual fish measurements link directly to SA.
+    # -------------------------------------------------------------------------
 
+    if (lh == "C") {
 
-
-
-# LH C --------------------------------------------------------------------
-    }else if(unique(RDBESEstRatioObj$SA$SAlowHierarchy) == "C"){
-
+      if (!bv_present)
+        stop("Lower hierarchy C requires a BV table.")
 
       bv <- data.table::setDT(RDBESEstRatioObj$BV)
-      # bv <- bv[BVtypeMeas %in% "LengthTotal"]
+      sa <- data.table::setDT(RDBESEstRatioObj$SA)
+      sa <- sa[, unique(.SD), .SDcols = saCols]
+      sa[, SAauxVarValue := as.numeric(SAauxVarValue)]
 
-      lengthVar <- grep("(?i)length", unique(bv$BVtypeMeas), value = TRUE)
+      lengthVar <- grep("(?i)length", unique(bv$BVtypeMeas), value = TRUE, perl = TRUE)
+      if (length(unique(lengthVar)) > 1)
+        stop("Multiple length types in BV; filter to one before calling.")
 
-      if(length(unique(lengthVar)) > 1){
-        stop("The length measurement type of the class needed for assessment (BVtypeAssess) needs to be unique")
-      }
+      bv <- bv[, unique(.SD), .SDcols = c("SAid", "BVfishId", "BVtypeMeas",
+                                           "BVvalueMeas", "BVtypeAssess")]
 
-      sa <- data.table::setDT(RDBESEstRatioObj$SA)
-      sa <- sa[, unique(.SD), .SDcols = c("SAid", "SAlowHierarchy", "SAtotalWtMes" , "SAsampWtMes",  "SAnumTotal", "SAnumSamp", "SAauxVarValue", "SAauxVarUnit" )]
-      bv <- bv[, unique(.SD), .SDcols = c("SAid", "BVfishId", "BVtypeMeas", "BVvalueMeas", "BVtypeAssess")]
+      measTypes <- if (!is.null(wcol)) c(lengthVar, wcol) else lengthVar
+      bv_wide <- bv[BVtypeMeas %in% measTypes,
+                    data.table::dcast(.SD,
+                                      SAid + BVfishId ~ BVtypeMeas,
+                                      value.var = "BVvalueMeas", drop = TRUE)]
 
-      # bv[, BVLength := as.numeric(LengthTotal)]
-      bv_assess <- bv[BVtypeMeas %in% c(lengthVar, wcol),
-                      data.table::dcast(.SD, SAid + BVfishId ~ BVtypeMeas, value.var = "BVvalueMeas", drop = TRUE)
-      ]
-     bv_assess[, BVweight := as.numeric(get(wcol))]
+      bv_wide[, convertedLength := as.numeric(bv_wide[[lengthVar]])]
+      bv_wide[, LengthClass     := assignLengthClass(convertedLength)]
+      bv_wide <- addBVweight(bv_wide, lengthVar)
 
-      bv1 <- bv_assess[
-        , .(BVMeanWeight = mean(BVweight, na.rm = TRUE),
-            BVNumbersAtLength = .N),
+      bv1 <- bv_wide[
+        , .(BVNumbersAtLength  = .N,
+            MeanWeightAtLength = mean(BVweight, na.rm = TRUE)),
         by = .(SAid, LengthClass)
       ][
-        # add total count per SAid
         , BVTotCount := sum(BVNumbersAtLength), by = SAid
       ][
-        # add total weight per SAid
-        bv[, .(BVTotWeight = sum(BVweight, na.rm = TRUE)), by = SAid],
+        bv_wide[, .(BVTotWeight = sum(BVweight, na.rm = TRUE)), by = SAid],
         on = "SAid"
       ]
 
-      # bv1$BVLengthClassProp <- bv1$BVNumbersAtLength/bv1$TotCount
-
-
-   # Do not need the
-      # species, the filtering of the "strata" variables will be done before the estimation
-      # To test
-      sa[, SAauxVarValue  := as.numeric(SAauxVarValue )]
-
-
-
-
-      su <- merge(bv1, sa, by = c("SAid"))
+      su <- merge(bv1, sa, by = "SAid")
+      su <- applySARaise(su,
+                         numbersInCol  = "BVNumbersAtLength",
+                         numbersOutCol = "NumbersAtLength")
 
-      if(raiseVar == "Weight"){
+      return(su)
+    }
+  }
 
-        su$raiseFactor <- su$SAtotalWtMes/su$SAsampWtMes
-        su$NumbersAtLength <- su$raiseFactor*su$BVNumbersAtLength
 
-      }else if(raiseVar == "Count"){
+  # ===========================================================================
+  # AGE COMPOSITION
+  # ===========================================================================
 
-        su$raiseFactor <- su$SAnumTotal/su$SAnumSamp
-        su$NumbersAtLength <- su$raiseFactor*su$BVNumbersAtLength
+  if (targetValue == "AgeComp") {
 
-      }else{
+    # LH B is caught earlier with a clear error message.
 
-        su$NumbersAtLength <- su$SAauxVarValue*su$BVNumbersAtLength
+    # -------------------------------------------------------------------------
+    # LH A: SA -> FM -> BV
+    # FM length-frequency; BV individual ages stratified under FM
+    # length classes. Ages are first raised within each FM length class
+    # (BV subsample -> FM count), then the SA-level raise is applied.
+    # -------------------------------------------------------------------------
 
-      }
+    if (lh == "A") {
 
-      return(su)
+      if (!bv_present)
+        stop("Lower hierarchy A age composition requires a BV table.")
+      if (is.null(wcol))
+        stop("A weight column in BV is required for age composition in lower hierarchy A.")
 
+      bv <- data.table::setDT(RDBESEstRatioObj$BV)
+      fm <- data.table::setDT(RDBESEstRatioObj$FM)
+      sa <- data.table::setDT(RDBESEstRatioObj$SA)
 
+      bv <- bv[, unique(.SD), .SDcols = c("FMid", "BVfishId", "BVtypeMeas", "BVvalueMeas")]
+      bv <- data.table::dcast(bv, ... ~ BVtypeMeas, value.var = "BVvalueMeas", drop = TRUE)
+      bv[, BVweight := as.numeric(bv[[wcol]])]
 
-      # su$SANumbersAtLength <- su$BVNumbersAtLength * su$SAauxVarValue
+      if (!"Age" %in% names(bv))
+        stop("No 'Age' measurement found in BV. Check BVtypeMeas values.")
 
-      # From here onwards need the column names
+      fm <- fm[, unique(.SD), .SDcols = c("SAid", "FMid", "FMclassMeas", "FMnumAtUnit")]
+      sa <- sa[, unique(.SD), .SDcols = saCols]
+      sa[, SAauxVarValue := as.numeric(SAauxVarValue)]
 
-      # s <- RDBEScore::getTablesInRDBESHierarchy(DEhierarchy)
-      # keywords <- c("SA|FM|BV")
-      # hierarchyTabs <-s[!is.na(gsub(keywords, NA, s))]
-      # # Get the table before the SA (most likely SS)
-      # nextTab <- tail(hierarchyTabs, n = 1)
-      # # Get table SA - 2
-      # nextTab1 <- tail(hierarchyTabs, n = )
-      #
-      #
-      # upperHier1 <- setDT(RDBESEstRatioObj[[nextTab]])
-      # cnames1 <- paste0(nextTab, "year")
-      # upperHier1 <- upperHier1[, unique(.SD), .SDcols = c("SAid", "SAspeCode","SAlowHierarchy", "SAauxVarValue")]
+      fm_tot <- fm[, .(FMnumAtUnit = sum(FMnumAtUnit, na.rm = TRUE),
+                       SAid        = SAid[1]),
+                   by = FMid]
 
+      bv1 <- bv[
+        , .(BVMeanWeight   = mean(BVweight, na.rm = TRUE),
+            BVNumbersAtAge = .N),
+        by = .(FMid, Age)
+      ][, BVTotCount := sum(BVNumbersAtAge), by = FMid]
+
+      # Raise within FM length class: BV subsample -> FM tally
+      bv2 <- merge(bv1, fm_tot, by = "FMid")
+      bv2[, num_raise   := fifelse(BVTotCount > 0, FMnumAtUnit / BVTotCount, NA_real_)]
+      bv2[, N_at_age_FM := BVNumbersAtAge * num_raise]
+
+      # Mean length at age
+      lengthVar <- grep("(?i)length", names(bv), value = TRUE, perl = TRUE)
+      if (length(lengthVar) > 0) {
+        lv1 <- lengthVar[1]
+        mean_len <- bv[, .(MeanLengthAtAge = mean(as.numeric(bv[[lv1]]),
+                                               na.rm = TRUE)),
+                       by = .(FMid, Age)]
+        bv2 <- merge(bv2, mean_len, by = c("FMid", "Age"), all.x = TRUE)
+      } else {
+        bv2[, MeanLengthAtAge := NA_real_]
+      }
 
+      # Aggregate from FM level to SA level
+      bv3 <- bv2[
+        , .(N_at_age_SA     = sum(N_at_age_FM, na.rm = TRUE),
+            BVMeanWeight    = weighted.mean(BVMeanWeight,    BVNumbersAtAge, na.rm = TRUE),
+            MeanLengthAtAge = weighted.mean(MeanLengthAtAge, BVNumbersAtAge, na.rm = TRUE)),
+        by = .(SAid, Age)
+      ]
 
-      # if both lengths and weight exist
-      # if(isTRUE(any(grepl("Length", RDBESEstRatioObj$BV$BVtypeAssess)) & any(grepl("Weight", RDBESEstRatioObj$BV$BVtypeAssess)))){
-      #
-      # su$Wratio <- su$SAtotalWtMes/su$SAsampWtMes
-      # su$SANumbersAtLength <- su$BVNumbersAtLength * su$Wratio
-      #
-      # }else{
-      #   stop("Not yet implemented")
-      # }
+      su <- merge(bv3, sa, by = "SAid")
+      su <- applySARaise(su,
+                         numbersInCol  = "N_at_age_SA",
+                         numbersOutCol = "NumbersAtAge")
 
+      return(su)
     }
 
+    # -------------------------------------------------------------------------
+    # LH C: SA -> BV only
+    # No FM table. Individual fish measurements link directly to SA.
+    # -------------------------------------------------------------------------
 
-
-    # Age composition ---------------------------------------------------------
-  }else if(targetValue == "AgeComp"){
-
-
-
-    # LH C --------------------------------------------------------------------
-
-
-    if(unique(RDBESDataObj$SA$SAlowHierarchy) == "C"){
+    if (lh == "C") {
 
       bv <- data.table::setDT(RDBESEstRatioObj$BV)
+      sa <- data.table::setDT(RDBESEstRatioObj$SA)
+      sa <- sa[, unique(.SD), .SDcols = saCols]
+      sa[, SAauxVarValue := as.numeric(SAauxVarValue)]
+
       bv <- bv[, unique(.SD), .SDcols = c("SAid", "BVfishId", "BVtypeMeas", "BVvalueMeas")]
-      bv <- dcast(bv, ... ~ BVtypeMeas , value.var = c("BVvalueMeas"), drop = TRUE)
-      bv[, BVweight := as.numeric(get(wcol))]
-      # TODO this probably needs to be an argument
-      # or needs to be defined later on?
+      bv <- data.table::dcast(bv, ... ~ BVtypeMeas, value.var = "BVvalueMeas", drop = TRUE)
+
+      if (!"Age" %in% names(bv))
+        stop("No 'Age' measurement found in BV. Check BVtypeMeas values.")
+
+      # Resolve weight outside data.table to avoid get() scoping issues in j
+      if (!is.null(wcol) && wcol %in% names(bv)) {
+        bv[, BVweight := as.numeric(bv[[wcol]])]
+      } else if (!is.null(LWparam)) {
+        lengthVar_age <- grep("(?i)length", names(bv), value = TRUE, perl = TRUE)
+        if (length(lengthVar_age) == 0)
+          stop("LWparam supplied but no length column found in BV.")
+        bv[, BVweight := LWparam[1] * as.numeric(bv[[lengthVar_age[1]]]) ^ LWparam[2]]
+      } else {
+        if (verbose) message("No weight column or LWparam supplied: BVweight set to NA.")
+        bv[, BVweight := NA_real_]
+      }
 
       bv1 <- bv[
-        , .(BVMeanWeight = mean(BVweight, na.rm = TRUE),
+        , .(BVMeanWeight   = mean(BVweight, na.rm = TRUE),
             BVNumbersAtAge = .N),
         by = .(SAid, Age)
       ][
-        # add total count per SAid
         , BVTotCount := sum(BVNumbersAtAge), by = SAid
       ][
-        # add total weight per SAid
         bv[, .(BVTotWeight = sum(BVweight, na.rm = TRUE)), by = SAid],
         on = "SAid"
       ]
 
-      # bv1$BVLengthClassProp <- bv1$BVNumbersAtLength/bv1$TotCount
-
-
-      sa <- data.table::setDT(RDBESEstRatioObj$SA)
-      sa <- sa[, unique(.SD), .SDcols = c("SAid", "SAlowHierarchy", "SAtotalWtMes" , "SAsampWtMes",  "SAnumTotal", "SAnumSamp", "SAauxVarValue", "SAauxVarUnit" )] # Do not need the
-      # species, the filtering of the "strata" variables will be done before the estimation
-      # To test
-      sa[, SAauxVarValue  := as.numeric(SAauxVarValue )]
-      sa$SAauxVarValue <- 10
-
-      # TODO add check for subsampling
-
-      su <- merge(bv1, sa, by = c("SAid"))
-
-      if(raiseVar == "Weight"){
-
-        su$raiseFactor <- su$SAtotalWtMes/su$SAsampWtMes
-        su$NumbersAtAge <- su$raiseFactor*su$BVNumbersAtAge
-
-      }else if(raiseVar == "Count"){
-
-        su$raiseFactor <- su$SAnumTotal/su$SAnumSamp
-        su$NumbersAtAge <- su$raiseFactor*su$BVNumbersAtAge
-
-      }else{
-
-        su$NumbersAtAge <- su$SAauxVarValue*su$BVNumbersAtAge
-
+      # Mean length at age
+      lengthVar <- grep("(?i)length", names(bv), value = TRUE, perl = TRUE)
+      if (length(lengthVar) > 0) {
+        lv1 <- lengthVar[1]
+        mean_len <- bv[, .(MeanLengthAtAge = mean(as.numeric(bv[[lv1]]),
+                                               na.rm = TRUE)),
+                       by = .(SAid, Age)]
+        bv1 <- merge(bv1, mean_len, by = c("SAid", "Age"), all.x = TRUE)
+      } else {
+        bv1[, MeanLengthAtAge := NA_real_]
       }
 
+      su <- merge(bv1, sa, by = "SAid")
+      su <- applySARaise(su,
+                         numbersInCol  = "BVNumbersAtAge",
+                         numbersOutCol = "NumbersAtAge")
+
       return(su)
-      # Check which biol data are present
-
-      # if age exists
-
-      # if indv weights + lengths  exist
-
-      # then Full data set back
-
-      # if only indv weights
-      # then you don't have the mean length at age unless you use the inverse LW relationship :provide a, b parameters or model them (Future work)
-      # if only lengths
-      # the you don't have the mean weight at age unless LW: a, b or model (Future work)
-      # else stop you don't sufficient data
-
-      # else stop
-
-
-      # LH A --------------------------------------------------------------------
-
-
-    }else if(unique(RDBESDataObj$SA$SAlowHierarchy) == "A"){
-
-      # bv <- data.table::setDT(RDBESEstRatioObj$BV)
-      # fm <- data.table::setDT(RDBESEstRatioObj$FM)
-      # sa <- data.table::setDT(RDBESEstRatioObj$SA)
-      # bv <- bv[, unique(.SD), .SDcols = c( "FMid","BVfishId", "BVtypeMeas", "BVvalueMeas")]
-      # bv <- dcast(bv, ... ~ BVtypeMeas , value.var = c("BVvalueMeas"), drop = TRUE)
-      # bv[, BVweight := as.numeric(get(wcol))]
-      #
-      # bv1 <- bv[
-      #   , .(BVMeanWeight = mean(BVweight, na.rm = TRUE),
-      #       BVNumbersAtAge = .N),
-      #   by = .(FMid, Age)
-      # ][
-      #   # add total count per SAid
-      #   , BVTotCount := sum(BVNumbersAtAge), by = FMid
-      # ][
-      #   # add total weight per SAid
-      #   bv[, .(BVTotWeight = sum(BVweight, na.rm = TRUE)), by = FMid],
-      #   on = "FMid"
-      # ]
-      #
-      #
-      #
-      # fm <- fm[fm, unique(.SD), .SDcols = c("SAid", "FMid", "FMclassMeas", "FMnumAtUnit")]
-      # sa <- sa[, unique(.SD), .SDcols = c("SAid", "SAlowHierarchy", "SAtotalWtMes" , "SAsampWtMes",  "SAnumTotal", "SAnumSamp", "SAauxVarValue", "SAauxVarUnit" )]
-      #
-      # fm1 <- unique(
-      #   fm[FMclassMeas %chin% c("LengthTotal","LengthMeasured","Length"),
-      #      .(FMid, SAid, FMnumAtUnit)]
-      # )
-      #
-      # bv1 <- fm1[bv1, on = "FMid"][,
-      #                                 num_raise := fifelse(BVTotCount > 0, FMnumAtUnit / BVTotCount, NA_real_)
-      # ][
-      #   , N_at_age := BVNumbersAtAge * num_raise
-      # ]
-
-      stop("Not yet implemented")
-    }else{
-      stop("Age composition can't be calculated with lower hierachy B.")
     }
   }
 
+  stop("Unrecognised combination of targetValue ('", targetValue,
+       "') and lower hierarchy ('", lh, "').")
 }

From d92fbd77568413e7b0d8399dc9fc927c429c1322 Mon Sep 17 00:00:00 2001
From: karolinamg <mollagazik@gmail.com>
Date: Tue, 10 Mar 2026 16:17:23 +0100
Subject: [PATCH 29/87] Removed lowerAux, included in the model

---
 R/doEstimationRatio.R | 2 --
 1 file changed, 2 deletions(-)

diff --git a/R/doEstimationRatio.R b/R/doEstimationRatio.R
index 3efb3e4..31cafdd 100644
--- a/R/doEstimationRatio.R
+++ b/R/doEstimationRatio.R
@@ -20,7 +20,6 @@
 #' @param LWparam A numeric vector of length two \code{c(a, b)} specifying the
 #'   weight-length relationship (W = a * L^b). Used in LH A and B when
 #'   individual weights are absent from BV but lengths are available.
-#' @param lowerAux Not implemented.
 #' @param verbose Logical; if \code{TRUE}, informational messages are printed
 #'   during processing.
 #'
@@ -55,7 +54,6 @@ doEstimationRatio <- function(RDBESDataObj,
                               classUnits   = "mm",
                               classBreaks  = c(100, 300, 10),
                               LWparam      = NULL,
-                              lowerAux     = NULL,
                               verbose      = FALSE) {
 
 

From 7d5033fc983d0a5cdbece80fd139a8ded28a89b9 Mon Sep 17 00:00:00 2001
From: karolinamg <mollagazik@gmail.com>
Date: Tue, 10 Mar 2026 16:38:14 +0100
Subject: [PATCH 30/87] added in namespace, pass checks

---
 NAMESPACE                |  2 +-
 R/doEstimationRatio.R    |  7 ++++-
 man/doEstimationRatio.Rd | 58 +++++++++++++++++++++++++++++++---------
 3 files changed, 53 insertions(+), 14 deletions(-)

diff --git a/NAMESPACE b/NAMESPACE
index e5b6e9f..222b08a 100644
--- a/NAMESPACE
+++ b/NAMESPACE
@@ -11,6 +11,7 @@ export(createRDBESDataObject)
 export(createRDBESEstObject)
 export(doBVestimCANUM)
 export(doEstimationForAllStrata)
+export(doEstimationRatio)
 export(downloadRDBESDataZip)
 export(estim)
 export(estimMC)
@@ -47,6 +48,5 @@ importFrom(stats,na.omit)
 importFrom(stats,rnorm)
 importFrom(stats,setNames)
 importFrom(utils,file_test)
-importFrom(utils,head)
 importFrom(utils,packageDescription)
 importFrom(utils,tail)
diff --git a/R/doEstimationRatio.R b/R/doEstimationRatio.R
index 31cafdd..36c6741 100644
--- a/R/doEstimationRatio.R
+++ b/R/doEstimationRatio.R
@@ -11,7 +11,7 @@
 #'   use \code{SAauxVarValue} directly as the raise factor.
 #' @param classUnits Units of the length class intervals, e.g. \code{"mm"} or
 #'   \code{"cm"}. Used only for \code{targetValue = "LengthComp"}: in LH A
-#'   and B, checks consistency with FM data; in LH C, used to interpret raw BV
+#'   and B, checks consistency with FM data; in LH C, used to transform raw BV
 #'   lengths before class assignment.
 #'   Codes: \url{https://vocab.ices.dk/?ref=1608}
 #' @param classBreaks A numeric vector of three values:
@@ -48,6 +48,7 @@
 #' }
 #'
 #' @importFrom utils tail
+#' @export
 doEstimationRatio <- function(RDBESDataObj,
                               targetValue  = "LengthComp",
                               raiseVar     = "Weight",
@@ -57,6 +58,10 @@ doEstimationRatio <- function(RDBESDataObj,
                               verbose      = FALSE) {
 
 
+  #TODO stratification
+  #TODO add here the upper h?
+  #TODO build tests
+
   # ---------------------------------------------------------------------------
   # Checks
   # ---------------------------------------------------------------------------
diff --git a/man/doEstimationRatio.Rd b/man/doEstimationRatio.Rd
index dcbcc2b..6cd2367 100644
--- a/man/doEstimationRatio.Rd
+++ b/man/doEstimationRatio.Rd
@@ -11,30 +11,64 @@ doEstimationRatio(
   classUnits = "mm",
   classBreaks = c(100, 300, 10),
   LWparam = NULL,
-  lowerAux = NULL,
   verbose = FALSE
 )
 }
 \arguments{
-\item{RDBESDataObj}{A validated RDBESDataObject containing hierarchical sampling and biological data. Must include appropriate tables (e.g., CL, CE, SA, FM, or BV) depending on estimation requirements.}
+\item{RDBESDataObj}{A validated RDBESDataObject containing hierarchical
+sampling and biological data. Must include relevant tables (SA, FM,
+and/or BV) depending on the lower hierarchy.}
 
-\item{targetValue}{A character string specifying the type of composition to estimate. Options are "LengthComp" or "AgeComp".}
+\item{targetValue}{A character string specifying the type of composition to
+estimate. Options are \code{"LengthComp"} or \code{"AgeComp"}.}
 
-\item{raiseVar}{The variable used to construct the ratio.}
+\item{raiseVar}{The raising variable used to construct the ratio estimator.
+Options are \code{"Weight"} (SAtotalWtMes / SAsampWtMes),
+\code{"Count"} (SAnumTotal / SAnumSamp), or any other value which will
+use \code{SAauxVarValue} directly as the raise factor.}
 
-\item{classUnits}{Units of the class intervals for length or age, typically "mm" for millimeters or "cm" for centimeters. Used in defining class intervals. In lower hierarchy A, the argument is used to check if that the length classes provided. For lower hierarchy B, it transforms the lengths. Codes: https://vocab.ices.dk/?ref=1608}
+\item{classUnits}{Units of the length class intervals, e.g. \code{"mm"} or
+\code{"cm"}. Used only for \code{targetValue = "LengthComp"}: in LH A
+and B, checks consistency with FM data; in LH C, used to transform raw BV
+lengths before class assignment.
+Codes: \url{https://vocab.ices.dk/?ref=1608}}
 
-\item{classBreaks}{A numeric vector of three values: minimum value, maximum value, and class width (e.g., c(100, 300, 10)). Defines the class intervals for grouping lengths. In lower hierarchy A, the argument is used to check if that the length classes provided. For lower hierarchy B, it transforms the lengths.}
+\item{classBreaks}{A numeric vector of three values:
+\code{c(min, max, width)}. Defines the length class intervals. Used only
+for \code{targetValue = "LengthComp"}.}
 
-\item{LWparam}{A numeric vector of length two specifying parameters (a, b) for the weight-length relationship (W = a * L^b). Used if no direct weights are available but lengths are provided.}
+\item{LWparam}{A numeric vector of length two \code{c(a, b)} specifying the
+weight-length relationship (W = a * L^b). Used in LH A and B when
+individual weights are absent from BV but lengths are available.}
 
-\item{lowerAux}{A numeric or character vector referencing a variable in the SA table used as an auxiliary variable for ratio estimation (e.g., sample weights, sub-sample expansion factors).}
-
-\item{verbose}{Logical; if TRUE, detailed messages are printed during processing.}
+\item{verbose}{Logical; if \code{TRUE}, informational messages are printed
+during processing.}
 }
 \value{
-A list or data.table containing the estimated numbers at length or age and associated mean values such as weight and length, depending on input and target type.
+A \code{data.table} with estimated numbers at length or age and
+associated mean values. Key output columns:
+\itemize{
+\item \code{LengthClass} or \code{Age} — the grouping variable
+\item \code{NumbersAtLength} or \code{NumbersAtAge} — raised estimates
+\item \code{MeanWeightAtLength} or \code{BVMeanWeight} — mean weight
+\item \code{MeanLengthAtAge} — mean length at age (AgeComp only)
+\item \code{raiseFactor} — the SA-level raise factor applied
+}
 }
 \description{
-The function is under development and does not work yet.
+Estimate Numbers and Mean Values by Length or Age Class
+}
+\details{
+The three lower hierarchies differ in which tables are present:
+\itemize{
+\item \strong{LH A}: \code{SA -> FM -> BV}. FM holds the length-frequency;
+BV holds individual biological measurements for a subsample of
+fish within each FM length class. Supports both LengthComp and AgeComp.
+\item \strong{LH B}: \code{SA -> FM} only. FM holds the length-frequency;
+no individual biological measurements (no BV). Supports
+LengthComp only; AgeComp is not possible without BV.
+\item \strong{LH C}: \code{SA -> BV} only. Individual biological
+measurements link directly to SA; no FM length-frequency tally.
+Supports both LengthComp and AgeComp.
+}
 }

From 91a81cc57cc639943fab4d6bd4122f3f78da23d3 Mon Sep 17 00:00:00 2001
From: karolinamg <mollagazik@gmail.com>
Date: Tue, 10 Mar 2026 18:10:16 +0100
Subject: [PATCH 31/87] some todo

---
 R/doEstimationRatio.R | 3 ++-
 1 file changed, 2 insertions(+), 1 deletion(-)

diff --git a/R/doEstimationRatio.R b/R/doEstimationRatio.R
index 36c6741..a198f86 100644
--- a/R/doEstimationRatio.R
+++ b/R/doEstimationRatio.R
@@ -58,9 +58,10 @@ doEstimationRatio <- function(RDBESDataObj,
                               verbose      = FALSE) {
 
 
-  #TODO stratification
+  #TODO stratification SA, BV
   #TODO add here the upper h?
   #TODO build tests
+  #TODO mean weight at age and length, Check.
 
   # ---------------------------------------------------------------------------
   # Checks

From 7cd6877447a5c6cfdbbfb78344ebaba3e3b090b7 Mon Sep 17 00:00:00 2001
From: Richard Meitern <richard.meitern@gmail.com>
Date: Wed, 11 Mar 2026 09:50:01 +0200
Subject: [PATCH 32/87] 2026 march presentation

---
 .../package_overview_11-03-2026.pptx           | Bin 0 -> 174338 bytes
 1 file changed, 0 insertions(+), 0 deletions(-)
 create mode 100644 WGRDBES-EST/presentations/package_overview_11-03-2026.pptx

diff --git a/WGRDBES-EST/presentations/package_overview_11-03-2026.pptx b/WGRDBES-EST/presentations/package_overview_11-03-2026.pptx
new file mode 100644
index 0000000000000000000000000000000000000000..77302176871a35807fbeb5ab947c3799782ab44c
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From eb73e67b8d63cea605884b2033cdf6d7c9274cdb Mon Sep 17 00:00:00 2001
From: Richard Meitern <richard.meitern@gmail.com>
Date: Wed, 11 Mar 2026 10:13:29 +0200
Subject: [PATCH 33/87] #257 fix obvious issues

---
 R/downloadRDBESDataZip.R    | 29 ++++++++++++++++++++---------
 man/downloadRDBESDataZip.Rd | 22 +++++++++++++++-------
 2 files changed, 35 insertions(+), 16 deletions(-)

diff --git a/R/downloadRDBESDataZip.R b/R/downloadRDBESDataZip.R
index 1f7b9ee..9f9b117 100644
--- a/R/downloadRDBESDataZip.R
+++ b/R/downloadRDBESDataZip.R
@@ -4,22 +4,33 @@
 #'
 #' it seems that datatype = "CS" require a hierarchy value
 #'
-#' @param datatype description
-#' @param year description
-#' @param hierarchy description
-#' @param country description
+#' @param datatype one of CS, CL, CE, SL, VD?
+#' @param year numeric value for year of data to download (e.g. 2023)
+#' @param country 2 letter code for country (e.g. "DK", "FR", "DE", etc.)
+#' @param hierarchy numeric value for hierarchy in the range 1-13.
+#'  Only required if `datatype` is "CS". If `datatype` is "CS" and `hierarchy`
+#'  is not provided, the function will attempt to download the data without
+#'  the hierarchy parameter.
 #' @param export_format description
 #' @param verbose description
 #' @param dir description
+#' @param file_name (Optional) String. The name to save the downloaded zip file
+#'  as, without the .zip extension. If not provided, the file name will be
+#'   generated based on the request parameters (e.g. "CS_DK_2023_H1.zip").
 #'
-#' @return result
+#' @return boolean. `TRUE` if the download was successful, `FALSE` otherwise.
 #'
 #' @importFrom AzureAuth get_azure_token
 #' @importFrom httr GET add_headers content status_code http_status parse_url
 #'
 #' @export
 #'
-downloadRDBESDataZip <- function(datatype = c("CE", "CL", "VD", "SL"), year, hierarchy = NULL, country = "FR", export_format = "TableWithIdsFormat", dir = ".", verbose = TRUE) {
+downloadRDBESDataZip <- function(datatype, year, country,
+                                 hierarchy = NULL,
+                                 export_format = "TableWithIdsFormat",
+                                 dir = ".",
+                                 file_name=NULL,
+                                 verbose = TRUE) {
   # Authenticate and get token
   az <- get_azure_token(
     resource   = "api://18ab5ebb-1794-4e83-83f1-8fbd3dd5b152/rdbes.api.access",
@@ -42,8 +53,8 @@ downloadRDBESDataZip <- function(datatype = c("CE", "CL", "VD", "SL"), year, hie
 
   url <- paste0(base_url, mandatory_params)
 
-  if (datatype == "CS" && !is.null(hierarchy) && hierarchy %in% paste0("H", seq(1, 13))) {
-    hierarchy_qry <- paste0("&cshierarchy=", hierarchy)
+  if (datatype == "CS" && !is.null(hierarchy) && hierarchy %in% seq(1, 13)) {
+    hierarchy_qry <- paste0("&cshierarchy=", paste0("H",hierarchy))
     url <- paste0(base_url, mandatory_params, hierarchy_qry)
   }
 
@@ -78,5 +89,5 @@ downloadRDBESDataZip <- function(datatype = c("CE", "CL", "VD", "SL"), year, hie
     cat("  Http status      :", http_status(response)$reason, "\n")
   }
 
-  return(saving_file)
+  return(TRUE)
 }
diff --git a/man/downloadRDBESDataZip.Rd b/man/downloadRDBESDataZip.Rd
index 7e71a6e..4b1446b 100644
--- a/man/downloadRDBESDataZip.Rd
+++ b/man/downloadRDBESDataZip.Rd
@@ -5,32 +5,40 @@
 \title{Title}
 \usage{
 downloadRDBESDataZip(
-  datatype = c("CE", "CL", "VD", "SL"),
+  datatype,
   year,
+  country,
   hierarchy = NULL,
-  country = "FR",
   export_format = "TableWithIdsFormat",
   dir = ".",
+  file_name = NULL,
   verbose = TRUE
 )
 }
 \arguments{
-\item{datatype}{description}
+\item{datatype}{one of CS, CL, CE, SL, VD?}
 
-\item{year}{description}
+\item{year}{numeric value for year of data to download (e.g. 2023)}
 
-\item{hierarchy}{description}
+\item{country}{2 letter code for country (e.g. "DK", "FR", "DE", etc.)}
 
-\item{country}{description}
+\item{hierarchy}{numeric value for hierarchy (e.g. 1, 2, etc.).
+Only required if \code{datatype} is "CS". If \code{datatype} is "CS" and \code{hierarchy}
+is not provided, the function will attempt to download the data without
+the hierarchy parameter.}
 
 \item{export_format}{description}
 
 \item{dir}{description}
 
+\item{file_name}{(Optional) String. The name to save the downloaded zip file
+as, without the .zip extension. If not provided, the file name will be
+generated based on the request parameters (e.g. "CS_DK_2023_H1.zip").}
+
 \item{verbose}{description}
 }
 \value{
-result
+boolean. \code{TRUE} if the download was successful, \code{FALSE} otherwise.
 }
 \description{
 need checks on argument format

From af377e6016baa45ad80cdf8999a0e717e7ba888b Mon Sep 17 00:00:00 2001
From: Richard Meitern <richard.meitern@gmail.com>
Date: Wed, 11 Mar 2026 10:25:24 +0200
Subject: [PATCH 34/87] added dev option

---
 .../package_overview_11-03-2026.pptx          | Bin 174338 -> 176102 bytes
 package_overview.Rmd                          |  12 +++++++++++-
 2 files changed, 11 insertions(+), 1 deletion(-)

diff --git a/WGRDBES-EST/presentations/package_overview_11-03-2026.pptx b/WGRDBES-EST/presentations/package_overview_11-03-2026.pptx
index 77302176871a35807fbeb5ab947c3799782ab44c..22a091ea2121abf2ea457ff300abdecd8ab49830 100644
GIT binary patch
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diff --git a/package_overview.Rmd b/package_overview.Rmd
index 724ca75..72a12ad 100644
--- a/package_overview.Rmd
+++ b/package_overview.Rmd
@@ -64,6 +64,15 @@ To see the complete list of vignettes available in the package use the following
 browseVignettes(package = "RDBEScore")
 ```
 
+## Downloading RDBES data (dev)
+
+The data can be downloaded from the [RDBES](https://rdbes.ices.dk/#/) or using the package function **downloadRDBESDataZip()**. This function allows you to download the data for a specific country and year directly from RDBES into a folder of your choice. The CS data is downloaded as a `.zip` file containing all the mandatory hierarchy tables plus VD and SL.
+
+```{r}
+downloadRDBESDataZip(datatype = "CS", year = 1965, country = "ZW",
+                     hierarchy = 1, dir = "./data-raw/exampleData")
+```
+
 
 
 ## Importing zipped files
@@ -76,7 +85,8 @@ importedH1 <- createRDBESDataObject(input = "./data-raw/exampleData/H1_2025_02_1
 names(importedH1[!unlist(lapply(importedH1, is.null))])
 ```
 
-For this to work the zip file should contain these tables in the root of the zip file.
+You can only read in one hierarchy at a time. If the zip file contains multiple hierarchies you need to read them separately.
+
 
 ## Data Object Structure
 

From ea7a0d65e7c9d60b9a804643e7e8805f40c8bfa2 Mon Sep 17 00:00:00 2001
From: Richard Meitern <richard.meitern@gmail.com>
Date: Wed, 11 Mar 2026 10:39:26 +0200
Subject: [PATCH 35/87] specify function sources

---
 R/downloadRDBESDataZip.R    | 24 ++++++++++++------------
 man/downloadRDBESDataZip.Rd |  2 +-
 2 files changed, 13 insertions(+), 13 deletions(-)

diff --git a/R/downloadRDBESDataZip.R b/R/downloadRDBESDataZip.R
index 9f9b117..92cf336 100644
--- a/R/downloadRDBESDataZip.R
+++ b/R/downloadRDBESDataZip.R
@@ -32,7 +32,7 @@ downloadRDBESDataZip <- function(datatype, year, country,
                                  file_name=NULL,
                                  verbose = TRUE) {
   # Authenticate and get token
-  az <- get_azure_token(
+  az <- AzureAuth::get_azure_token(
     resource   = "api://18ab5ebb-1794-4e83-83f1-8fbd3dd5b152/rdbes.api.access",
     tenant     = "e0b220ce-5735-4468-91df-05cae5ff1fdc",
     app        = "b6347a7e-5f73-463a-81b1-3781d163de19",
@@ -42,7 +42,7 @@ downloadRDBESDataZip <- function(datatype, year, country,
   # Extract the access token
   access_token <- az$credentials$access_token
 
-  base_url <- "https://sboxrdbes.ices.dk/api/taf/export/data"
+  base_url <- "https://rdbes.ices.dk/api/taf/export/data"
 
   year_qry <- paste0("?year=", year)
   country_qry <- paste0("&country=", country)
@@ -58,20 +58,20 @@ downloadRDBESDataZip <- function(datatype, year, country,
     url <- paste0(base_url, mandatory_params, hierarchy_qry)
   }
 
-  response <- GET(
+  response <- httr::GET(
     url = url,
-    add_headers(Authorization = paste("Bearer", access_token))
+    httr::add_headers(Authorization = paste("Bearer", access_token))
   )
 
-  if (!status_code(response) == 200) {
+  if (!httr::status_code(response) == 200) {
     cat("Failed to download:\n")
-    cat("  Status code      :", status_code(response), "\n")
-    cat("  Http status      :", http_status(response)$reason, "\n")
-    cat("  Detailed message :", content(response, "text"), "\n")
+    cat("  Status code      :", httr::status_code(response), "\n")
+    cat("  Http status      :", httr::http_status(response)$reason, "\n")
+    cat("  Detailed message :", httr::content(response, "text"), "\n")
     return(FALSE)
   }
 
-  params_request <- parse_url(response$url)$query
+  params_request <- httr::parse_url(response$url)$query
   if (is.null(file_name)) {
     file_name <- paste0(params_request$datatype, "_", params_request$country, "_", params_request$year)
     if ("cshierarchy" %in% names(params_request)) {
@@ -81,12 +81,12 @@ downloadRDBESDataZip <- function(datatype, year, country,
 
   saving_file <- file.path(dir, paste0(file_name, ".zip"))
 
-  writeBin(content(response, "raw"), saving_file)
+  writeBin(httr::content(response, "raw"), saving_file)
 
   if (verbose) {
     cat("Downloaded:", saving_file, "\n")
-    cat("  Status code      :", status_code(response), "\n")
-    cat("  Http status      :", http_status(response)$reason, "\n")
+    cat("  Status code      :", httr::status_code(response), "\n")
+    cat("  Http status      :", httr::http_status(response)$reason, "\n")
   }
 
   return(TRUE)
diff --git a/man/downloadRDBESDataZip.Rd b/man/downloadRDBESDataZip.Rd
index 4b1446b..bbb18e8 100644
--- a/man/downloadRDBESDataZip.Rd
+++ b/man/downloadRDBESDataZip.Rd
@@ -22,7 +22,7 @@ downloadRDBESDataZip(
 
 \item{country}{2 letter code for country (e.g. "DK", "FR", "DE", etc.)}
 
-\item{hierarchy}{numeric value for hierarchy (e.g. 1, 2, etc.).
+\item{hierarchy}{numeric value for hierarchy in the range 1-13.
 Only required if \code{datatype} is "CS". If \code{datatype} is "CS" and \code{hierarchy}
 is not provided, the function will attempt to download the data without
 the hierarchy parameter.}

From 7093cae13c053ca8b1f7f861255853d47e4c66b2 Mon Sep 17 00:00:00 2001
From: Richard Meitern <rix133@users.noreply.github.com>
Date: Wed, 11 Mar 2026 12:43:19 +0200
Subject: [PATCH 36/87] Update README with development setup and guidelines

Added development guidelines and local workflow instructions.
---
 README.md | 20 ++++++++++++++++++++
 1 file changed, 20 insertions(+)

diff --git a/README.md b/README.md
index 723e22f..5d46620 100644
--- a/README.md
+++ b/README.md
@@ -94,6 +94,26 @@ If the installation fails due to R CMD, this alternative option can be used
 library(remotes)
 install_github("ices-tools-dev/RDBEScore@dev", build = FALSE)
 ```
+
+## How to Start developing
+
+A good starting setup is a recent version of R, RStudio, and the packages commonly used for package development. `RDBEScore` currently requires R 4.1 or newer. In practice, most contributors will also want `remotes`, `devtools`, `roxygen2` and `testthat` installed locally. 
+
+Use **camelCase** for new function names so they match the existing package style. A good function for a new contributor to take as an example is [createRDBESDataObject](https://github.com/ices-tools-dev/RDBEScore/blob/dev/R/createRDBESDataObject.R) but if you prefer something even more compact [getTablesInRDBESHierarchy](https://github.com/ices-tools-dev/RDBEScore/blob/dev/R/getTablesInRDBESHierarchy.R) is another good candidate. 
+
+Development work should start from the `dev` branch. Before making changes, pull the latest `dev`, create or claim an issue, and make the changes locally. New package code should be added to the core package directories so that it is available to other contributors and can be built and checked in the normal package workflow. In most cases this means placing function code in `R/`, packaged data in `data/`, data-preparation scripts in `data-raw/`, tests in `tests/`, and user-facing examples or longer documentation in `vignettes/`. The repository also contains `WGRDBES-EST` directory for extra documentation.
+
+When adding a new function, **aim to commit a complete unit of work rather than an unfinished fragment**. A typical contribution includes the function itself, roxygen2 documentation, any supporting example data, and tests for the new behaviour. If a change affects user workflows, add or update a vignette example when possible. This is more helpful to new users than adding code alone, and it makes review easier for maintainers.
+
+Before pushing changes, run local checks. At a minimum, regenerate documentation if needed, run tests, and **run a package check**. A common local workflow is:
+
+```r
+devtools::document()
+devtools::test()
+#optionally do a full check as well
+devtools::check()
+```
+
 ## On `data.table` usage
 
 Objects of type `data.table` passed as parameters should be copied before modification. As an example:

From 24dc27d671dc756536a394f9c3eba866a88c27df Mon Sep 17 00:00:00 2001
From: karolinamg <mollagazik@gmail.com>
Date: Wed, 11 Mar 2026 12:40:07 +0100
Subject: [PATCH 37/87] update todo in ratio est fun

---
 R/doEstimationRatio.R | 2 ++
 1 file changed, 2 insertions(+)

diff --git a/R/doEstimationRatio.R b/R/doEstimationRatio.R
index a198f86..d4c9933 100644
--- a/R/doEstimationRatio.R
+++ b/R/doEstimationRatio.R
@@ -62,6 +62,8 @@ doEstimationRatio <- function(RDBESDataObj,
   #TODO add here the upper h?
   #TODO build tests
   #TODO mean weight at age and length, Check.
+  #TODO check the hierachies are checked properly
+  #TODO throw error when the raiseVar is NA
 
   # ---------------------------------------------------------------------------
   # Checks

From ab5a225996df7789d81ff6df1658f0af3445d071 Mon Sep 17 00:00:00 2001
From: karolinamg <mollagazik@gmail.com>
Date: Wed, 11 Mar 2026 13:38:56 +0100
Subject: [PATCH 38/87] upd todo

---
 R/doEstimationRatio.R | 1 +
 1 file changed, 1 insertion(+)

diff --git a/R/doEstimationRatio.R b/R/doEstimationRatio.R
index d4c9933..8083ed2 100644
--- a/R/doEstimationRatio.R
+++ b/R/doEstimationRatio.R
@@ -64,6 +64,7 @@ doEstimationRatio <- function(RDBESDataObj,
   #TODO mean weight at age and length, Check.
   #TODO check the hierachies are checked properly
   #TODO throw error when the raiseVar is NA
+  #TODO account for subsample weight when appropriate (e.g., BV raise factor and the SA raise factor)
 
   # ---------------------------------------------------------------------------
   # Checks

From d00df7ec4bc849678fc472172b2be77e3607972e Mon Sep 17 00:00:00 2001
From: Richard Meitern <richard.meitern@gmail.com>
Date: Wed, 11 Mar 2026 15:46:52 +0200
Subject: [PATCH 39/87] #253 updated documentation

---
 R/findAndKillOrphans.R | 4 ++++
 1 file changed, 4 insertions(+)

diff --git a/R/findAndKillOrphans.R b/R/findAndKillOrphans.R
index 96a0f79..d3afcef 100644
--- a/R/findAndKillOrphans.R
+++ b/R/findAndKillOrphans.R
@@ -1,7 +1,11 @@
+#' Find and kill orphans in an RDBESDataObject
+#'
 #' This function finds and removed any orphan records in an
 #' RDBESDataObject.  Normally data that has been downloaded from the RDBES
 #' will not contain orphan records - however if the data is subsequently
 #' filtered it is possible to introduce orphan records.
+#' The direction of the cleanup is effectively downstream.
+#' The function does not remove parent rows because a child disappeared.
 #'
 #' @param objectToCheck an RDBESDataObject.
 #' @param verbose (Optional) If set to TRUE more detailed text will be printed

From a282b38e2f228f10bd4e7f5d745e3283d55bd8d1 Mon Sep 17 00:00:00 2001
From: Richard Meitern <richard.meitern@gmail.com>
Date: Wed, 11 Mar 2026 15:57:31 +0200
Subject: [PATCH 40/87] #253 add a test to verify downstream orphans

---
 tests/testthat/test-findAndKillOrphans.R | 52 ++++++++++++++++++++++++
 1 file changed, 52 insertions(+)

diff --git a/tests/testthat/test-findAndKillOrphans.R b/tests/testthat/test-findAndKillOrphans.R
index cb149d1..53fec82 100644
--- a/tests/testthat/test-findAndKillOrphans.R
+++ b/tests/testthat/test-findAndKillOrphans.R
@@ -53,4 +53,56 @@ test_that("findAndKillOrphans removes orphans on an filtered RDBESDataObject",
 
 })
 
+test_that("findAndKillOrphans does not remove upstream rows when lower-level rows are removed", {
+
+  myH1RawObject <- importRDBESDataCSV(rdbesExtractPath = "./h1_v_20250211")
+
+  # Keep a small stable subset first
+  myH1RawObject <- filterRDBESDataObject(
+    myH1RawObject,
+    fieldsToFilter = c("DEstratumName"),
+    valuesToFilter = c("DE_stratum1_H1", "DE_stratum2_H1", "DE_stratum3_H1")
+  )
+
+  # Start from an object without pre-existing orphans
+  myH1RawObject <- findAndKillOrphans(myH1RawObject, verbose = FALSE)
+
+  # Record the upstream state that should remain unchanged
+  expectedDEids <- sort(myH1RawObject$DE$DEid)
+  expectedSDids <- sort(myH1RawObject$SD$SDid)
+  expectedSDtoDE <- myH1RawObject$SD[order(SDid), .(SDid, DEid)]
+
+  # Remove all VS rows only
+  myFilteredObject <- filterRDBESDataObject(
+    myH1RawObject,
+    fieldsToFilter = "VSunitName",
+    valuesToFilter = "blah"
+  )
+
+  expect_equal(nrow(myFilteredObject[["VS"]]), 0)
+
+  # Kill downstream orphans created by removing VS
+  myObjectNoOrphans <- findAndKillOrphans(
+    objectToCheck = myFilteredObject,
+    verbose = FALSE
+  )
+
+  # Upstream tables must be unchanged
+  expect_equal(sort(myObjectNoOrphans$DE$DEid), expectedDEids)
+  expect_equal(sort(myObjectNoOrphans$SD$SDid), expectedSDids)
+  expect_equal(
+    myObjectNoOrphans$SD[order(SDid), .(SDid, DEid)],
+    expectedSDtoDE
+  )
+
+  # Downstream tables should be removed
+  expect_equal(nrow(myObjectNoOrphans[["VS"]]), 0)
+  expect_equal(nrow(myObjectNoOrphans[["FT"]]), 0)
+  expect_equal(nrow(myObjectNoOrphans[["FO"]]), 0)
+  expect_equal(nrow(myObjectNoOrphans[["SS"]]), 0)
+  expect_equal(nrow(myObjectNoOrphans[["SA"]]), 0)
+  expect_equal(nrow(myObjectNoOrphans[["FM"]]), 0)
+  expect_equal(nrow(myObjectNoOrphans[["BV"]]), 0)
+})
+
 }) ## end capture.output

From 8b163d9bac1a874dcad54675bcc751e6fd2b3248 Mon Sep 17 00:00:00 2001
From: Richard Meitern <richard.meitern@gmail.com>
Date: Wed, 22 Apr 2026 09:18:37 +0300
Subject: [PATCH 41/87] poster draft

---
 .../presentations/WGRDBES-EST_Poster_2026.pptx | Bin 0 -> 362021 bytes
 1 file changed, 0 insertions(+), 0 deletions(-)
 create mode 100644 WGRDBES-EST/presentations/WGRDBES-EST_Poster_2026.pptx

diff --git a/WGRDBES-EST/presentations/WGRDBES-EST_Poster_2026.pptx b/WGRDBES-EST/presentations/WGRDBES-EST_Poster_2026.pptx
new file mode 100644
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From f3ad0be0e99c24bf5a90bf8d93b9af506b79db00 Mon Sep 17 00:00:00 2001
From: Richard Meitern <richard.meitern@gmail.com>
Date: Tue, 5 May 2026 09:26:07 +0300
Subject: [PATCH 42/87] poster for ACE

---
 .../WGRDBES-EST_Poster_2026.pptx              | Bin 362021 -> 363172 bytes
 1 file changed, 0 insertions(+), 0 deletions(-)

diff --git a/WGRDBES-EST/presentations/WGRDBES-EST_Poster_2026.pptx b/WGRDBES-EST/presentations/WGRDBES-EST_Poster_2026.pptx
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z5ERpy`o!5(QiuaZ1|Bq)2$qsTE`Q3ir-^ezWKc;cKtTP^g+B~N_TOs)TRew;h63z~
zH3<ZF{%Kg^MT3U^a6lc)DA6y3(IB~SfEkJkL-Bj`8~PXqu>5^M>kk7+(Q_l<5IrHB
z0Yab-aggat6jIGA$nPa;q*jg4x0e7lL>Ug?K(;7ih|jI?f6tU35)1=)Xwl)ozgq-&
zJiYB6siDESVGzo1qx`QSay<l~o0k9;lpYQ+!5JPyZGT3Ha^?s~|CxuE&fg^6J#0K7
z{0M-8`agaiIt)hm4<f46tOo%R0OKEbgc5FQ0EI>Xitu7X$Tb=uh33sr<Nr(8P<{y|
zyvi6Ni3B*Ho=DV7k11pn3CO?;?f%9sLsddDe_F~NptVSVnfgB-2`b$8|7V)!2(d>2
zjDOolNGl2;f$O_K_ECT&yuls%6a_Hf`lJ7#{wUNsfAj>PD<6~!M2kl4Z<ZIt9gSl9
Y(B}_ZHas2}53C*+2GjOMNk8oW0XKGlwEzGB


From 1cc584ecb6260171a857a30078004d5fbb13b1d7 Mon Sep 17 00:00:00 2001
From: Richard Meitern <richard.meitern@gmail.com>
Date: Fri, 8 May 2026 15:43:41 +0300
Subject: [PATCH 43/87] update downloadRDBESDataZip to use icesRDBES package

---
 .Rbuildignore                              |   2 +
 .gitignore                                 |   1 +
 DESCRIPTION                                |   3 +-
 NAMESPACE                                  |   8 +-
 R/downloadRDBESDataZip.R                   | 191 ++++++++++++++-------
 man/downloadRDBESDataZip.Rd                |  42 ++---
 man/findAndKillOrphans.Rd                  |   7 +-
 tests/testthat/test-downloadRDBESDataZip.R | 129 ++++++++++++++
 8 files changed, 280 insertions(+), 103 deletions(-)
 create mode 100644 tests/testthat/test-downloadRDBESDataZip.R

diff --git a/.Rbuildignore b/.Rbuildignore
index c00100e..075e34a 100644
--- a/.Rbuildignore
+++ b/.Rbuildignore
@@ -19,3 +19,5 @@ package_overview.Rmd
 ^.pptx$
 ^_pkgdown\.yml$
 ^pkgdown$
+^\.positai$
+^\.claude$
diff --git a/.gitignore b/.gitignore
index f28528d..161f3e7 100644
--- a/.gitignore
+++ b/.gitignore
@@ -46,3 +46,4 @@ package_overview.md
 /renv/
 .Rprofile
 renv.lock
+.positai
diff --git a/DESCRIPTION b/DESCRIPTION
index c49cd31..aaaa596 100644
--- a/DESCRIPTION
+++ b/DESCRIPTION
@@ -122,6 +122,5 @@ Depends:
 Imports:
     dplyr (>= 1.1.3),
     data.table,
-    AzureAuth,
-    httr
+    icesRDBES
 VignetteBuilder: knitr
diff --git a/NAMESPACE b/NAMESPACE
index 222b08a..ee2bd41 100644
--- a/NAMESPACE
+++ b/NAMESPACE
@@ -36,13 +36,7 @@ export(updateSAwithTaxonFromSL)
 export(validateRDBESDataObject)
 export(validateRDBESEstObject)
 import(data.table)
-importFrom(AzureAuth,get_azure_token)
-importFrom(httr,GET)
-importFrom(httr,add_headers)
-importFrom(httr,content)
-importFrom(httr,http_status)
-importFrom(httr,parse_url)
-importFrom(httr,status_code)
+importFrom(icesRDBES,rdbes_download_data)
 importFrom(stats,formula)
 importFrom(stats,na.omit)
 importFrom(stats,rnorm)
diff --git a/R/downloadRDBESDataZip.R b/R/downloadRDBESDataZip.R
index 92cf336..139d22f 100644
--- a/R/downloadRDBESDataZip.R
+++ b/R/downloadRDBESDataZip.R
@@ -1,93 +1,152 @@
-#' Title
+#' Download RDBES data as a zip file
 #'
-#' need checks on argument format
+#' Downloads RDBES data through `icesRDBES::rdbes_download_data()`.
 #'
-#' it seems that datatype = "CS" require a hierarchy value
+#' @param datatype One of `"CS"`, `"CL"`, `"CE"`, `"SL"`, or `"VD"`.
+#' @param year Numeric value for year of data to download.
+#' @param country Two-letter country code.
+#' @param hierarchy Optional CS or CL hierarchy, for example `"H8"` or `8`.
+#' @param dir Directory where the zip file is saved.
+#' @param file_name Optional file name to save the downloaded zip file as. The
+#'  `.zip` suffix is added if omitted.
+#' @param verbose Passed to `icesRDBES::rdbes_download_data()`.
+#' @param payload Optional full RDBES download payload. If supplied, `datatype`,
+#'  `year`, `country` and `hierarchy` are ignored.
 #'
-#' @param datatype one of CS, CL, CE, SL, VD?
-#' @param year numeric value for year of data to download (e.g. 2023)
-#' @param country 2 letter code for country (e.g. "DK", "FR", "DE", etc.)
-#' @param hierarchy numeric value for hierarchy in the range 1-13.
-#'  Only required if `datatype` is "CS". If `datatype` is "CS" and `hierarchy`
-#'  is not provided, the function will attempt to download the data without
-#'  the hierarchy parameter.
-#' @param export_format description
-#' @param verbose description
-#' @param dir description
-#' @param file_name (Optional) String. The name to save the downloaded zip file
-#'  as, without the .zip extension. If not provided, the file name will be
-#'   generated based on the request parameters (e.g. "CS_DK_2023_H1.zip").
+#' @return Logical `TRUE` if the download completed.
 #'
-#' @return boolean. `TRUE` if the download was successful, `FALSE` otherwise.
-#'
-#' @importFrom AzureAuth get_azure_token
-#' @importFrom httr GET add_headers content status_code http_status parse_url
+#' @importFrom icesRDBES rdbes_download_data
 #'
 #' @export
 #'
-downloadRDBESDataZip <- function(datatype, year, country,
+downloadRDBESDataZip <- function(datatype = NULL, year = NULL, country = NULL,
                                  hierarchy = NULL,
-                                 export_format = "TableWithIdsFormat",
                                  dir = ".",
-                                 file_name=NULL,
-                                 verbose = TRUE) {
-  # Authenticate and get token
-  az <- AzureAuth::get_azure_token(
-    resource   = "api://18ab5ebb-1794-4e83-83f1-8fbd3dd5b152/rdbes.api.access",
-    tenant     = "e0b220ce-5735-4468-91df-05cae5ff1fdc",
-    app        = "b6347a7e-5f73-463a-81b1-3781d163de19",
-    version    = 2
-  )
+                                 file_name = NULL,
+                                 verbose = TRUE,
+                                 payload = NULL) {
+  if (is.null(payload)) {
+    payload <- buildSimpleRDBESDownloadPayload(
+      datatype = datatype,
+      year = year,
+      country = country,
+      hierarchy = hierarchy,
+      export_format = "CsvFilePerTable"
+    )
+  }
 
-  # Extract the access token
-  access_token <- az$credentials$access_token
+  dir.create(dir, recursive = TRUE, showWarnings = FALSE)
 
-  base_url <- "https://rdbes.ices.dk/api/taf/export/data"
+  downloaded_file <- rdbes_download_data(
+    payload = payload,
+    dest_dir = dir,
+    production = getOption("rdbes.production", TRUE),
+    verbose = verbose
+  )
 
-  year_qry <- paste0("?year=", year)
-  country_qry <- paste0("&country=", country)
-  export_format_qry <- paste0("&exportformat=", export_format)
-  datatype_qry <- paste0("&datatype=", datatype)
+  if (is.null(file_name) && !is.null(datatype) && !is.null(year) &&
+      !is.null(country)) {
+    file_name <- paste0(datatype, "_", country, "_", year)
+    if (!is.null(hierarchy)) {
+      file_name <- paste0(file_name, "_", normalizeRDBESHierarchy(hierarchy))
+    }
+  }
 
-  mandatory_params <- paste0(year_qry, country_qry, datatype_qry, export_format_qry)
+  if (!is.null(file_name)) {
+    target_file <- normalizeRDBESZipPath(dir, file_name)
+    moveRDBESDownload(downloaded_file, target_file)
+  }
 
-  url <- paste0(base_url, mandatory_params)
+  TRUE
+}
 
-  if (datatype == "CS" && !is.null(hierarchy) && hierarchy %in% seq(1, 13)) {
-    hierarchy_qry <- paste0("&cshierarchy=", paste0("H",hierarchy))
-    url <- paste0(base_url, mandatory_params, hierarchy_qry)
+buildSimpleRDBESDownloadPayload <- function(datatype, year, country, hierarchy,
+                                            export_format) {
+  if (is.null(datatype) || is.null(year) || is.null(country)) {
+    stop("Provide datatype, year, and country, or pass a full payload.")
   }
 
-  response <- httr::GET(
-    url = url,
-    httr::add_headers(Authorization = paste("Bearer", access_token))
-  )
+  datatype <- toupper(datatype)
+  filter_name <- switch(datatype,
+                        CS = "csFilters",
+                        CL = "clFilters",
+                        CE = "ceFilters",
+                        SL = "slFilters",
+                        VD = "vdFilters",
+                        NULL)
+  if (is.null(filter_name)) {
+    stop("Unsupported RDBES datatype: ", datatype)
+  }
 
-  if (!httr::status_code(response) == 200) {
-    cat("Failed to download:\n")
-    cat("  Status code      :", httr::status_code(response), "\n")
-    cat("  Http status      :", httr::http_status(response)$reason, "\n")
-    cat("  Detailed message :", httr::content(response, "text"), "\n")
-    return(FALSE)
+  payload <- list(dataType = datatype, format = export_format)
+
+  if (!is.null(hierarchy)) {
+    payload$hierarchies <- rdbesPayloadValues(
+      normalizeRDBESHierarchy(hierarchy)
+    )
+  } else if (datatype != "CS") {
+    payload$hierarchies <- rdbesPayloadValues(paste0("H", datatype))
   }
 
-  params_request <- httr::parse_url(response$url)$query
-  if (is.null(file_name)) {
-    file_name <- paste0(params_request$datatype, "_", params_request$country, "_", params_request$year)
-    if ("cshierarchy" %in% names(params_request)) {
-      file_name <- paste0(file_name, "_", params_request$cshierarchy)
-    }
+  year_field <- switch(datatype,
+                       CS = "deYear",
+                       CL = "clYear",
+                       CE = "ceYear",
+                       SL = "slYear",
+                       VD = "vdYear")
+  country_field <- switch(datatype,
+                          CS = "sdCountry",
+                          CL = "clVesselFlagCountry",
+                          CE = "ceVesselFlagCountry",
+                          SL = "slCountry",
+                          VD = "vdCountry")
+
+  payload[[filter_name]] <- list()
+  payload[[filter_name]][[year_field]] <- rdbesPayloadValues(year)
+  payload[[filter_name]][[country_field]] <- rdbesPayloadValues(country)
+
+  payload
+}
+
+rdbesPayloadValues <- function(values) {
+  as.list(as.character(values))
+}
+
+normalizeRDBESHierarchy <- function(hierarchy) {
+  hierarchy <- as.character(hierarchy)
+  ifelse(grepl("^H", hierarchy, ignore.case = TRUE),
+         toupper(hierarchy),
+         paste0("H", hierarchy))
+}
+
+normalizeRDBESZipPath <- function(dir, file_name) {
+  if (!grepl("\\.zip$", file_name, ignore.case = TRUE)) {
+    file_name <- paste0(file_name, ".zip")
   }
 
-  saving_file <- file.path(dir, paste0(file_name, ".zip"))
+  file.path(dir, file_name)
+}
+
+moveRDBESDownload <- function(downloaded_file, target_file) {
+  if (normalizePath(downloaded_file, winslash = "/", mustWork = FALSE) ==
+      normalizePath(target_file, winslash = "/", mustWork = FALSE)) {
+    return(invisible(target_file))
+  }
 
-  writeBin(httr::content(response, "raw"), saving_file)
+  if (file.exists(target_file)) {
+    unlink(target_file)
+  }
 
-  if (verbose) {
-    cat("Downloaded:", saving_file, "\n")
-    cat("  Status code      :", httr::status_code(response), "\n")
-    cat("  Http status      :", httr::http_status(response)$reason, "\n")
+  ok <- file.rename(downloaded_file, target_file)
+  if (!ok) {
+    ok <- file.copy(downloaded_file, target_file, overwrite = TRUE)
+    if (ok) {
+      unlink(downloaded_file)
+    }
+  }
+  if (!ok) {
+    stop("Could not move downloaded RDBES zip to ", target_file)
   }
 
-  return(TRUE)
+  invisible(target_file)
 }
diff --git a/man/downloadRDBESDataZip.Rd b/man/downloadRDBESDataZip.Rd
index bbb18e8..b6bf3ac 100644
--- a/man/downloadRDBESDataZip.Rd
+++ b/man/downloadRDBESDataZip.Rd
@@ -2,47 +2,41 @@
 % Please edit documentation in R/downloadRDBESDataZip.R
 \name{downloadRDBESDataZip}
 \alias{downloadRDBESDataZip}
-\title{Title}
+\title{Download RDBES data as a zip file}
 \usage{
 downloadRDBESDataZip(
-  datatype,
-  year,
-  country,
+  datatype = NULL,
+  year = NULL,
+  country = NULL,
   hierarchy = NULL,
-  export_format = "TableWithIdsFormat",
   dir = ".",
   file_name = NULL,
-  verbose = TRUE
+  verbose = TRUE,
+  payload = NULL
 )
 }
 \arguments{
-\item{datatype}{one of CS, CL, CE, SL, VD?}
+\item{datatype}{One of \code{"CS"}, \code{"CL"}, \code{"CE"}, \code{"SL"}, or \code{"VD"}.}
 
-\item{year}{numeric value for year of data to download (e.g. 2023)}
+\item{year}{Numeric value for year of data to download.}
 
-\item{country}{2 letter code for country (e.g. "DK", "FR", "DE", etc.)}
+\item{country}{Two-letter country code.}
 
-\item{hierarchy}{numeric value for hierarchy in the range 1-13.
-Only required if \code{datatype} is "CS". If \code{datatype} is "CS" and \code{hierarchy}
-is not provided, the function will attempt to download the data without
-the hierarchy parameter.}
+\item{hierarchy}{Optional CS or CL hierarchy, for example \code{"H8"} or \code{8}.}
 
-\item{export_format}{description}
+\item{dir}{Directory where the zip file is saved.}
 
-\item{dir}{description}
+\item{file_name}{Optional file name to save the downloaded zip file as. The
+\code{.zip} suffix is added if omitted.}
 
-\item{file_name}{(Optional) String. The name to save the downloaded zip file
-as, without the .zip extension. If not provided, the file name will be
-generated based on the request parameters (e.g. "CS_DK_2023_H1.zip").}
+\item{verbose}{Passed to \code{icesRDBES::rdbes_download_data()}.}
 
-\item{verbose}{description}
+\item{payload}{Optional full RDBES download payload. If supplied, \code{datatype},
+\code{year}, \code{country} and \code{hierarchy} are ignored.}
 }
 \value{
-boolean. \code{TRUE} if the download was successful, \code{FALSE} otherwise.
+Logical \code{TRUE} if the download completed.
 }
 \description{
-need checks on argument format
-}
-\details{
-it seems that datatype = "CS" require a hierarchy value
+Downloads RDBES data through \code{icesRDBES::rdbes_download_data()}.
 }
diff --git a/man/findAndKillOrphans.Rd b/man/findAndKillOrphans.Rd
index f92f8fe..8452052 100644
--- a/man/findAndKillOrphans.Rd
+++ b/man/findAndKillOrphans.Rd
@@ -2,10 +2,7 @@
 % Please edit documentation in R/findAndKillOrphans.R
 \name{findAndKillOrphans}
 \alias{findAndKillOrphans}
-\title{This function finds and removed any orphan records in an
-RDBESDataObject.  Normally data that has been downloaded from the RDBES
-will not contain orphan records - however if the data is subsequently
-filtered it is possible to introduce orphan records.}
+\title{Find and kill orphans in an RDBESDataObject}
 \usage{
 findAndKillOrphans(objectToCheck, verbose = FALSE, strict = TRUE)
 }
@@ -26,6 +23,8 @@ This function finds and removed any orphan records in an
 RDBESDataObject.  Normally data that has been downloaded from the RDBES
 will not contain orphan records - however if the data is subsequently
 filtered it is possible to introduce orphan records.
+The direction of the cleanup is effectively downstream.
+The function does not remove parent rows because a child disappeared.
 }
 \examples{
 \dontrun{
diff --git a/tests/testthat/test-downloadRDBESDataZip.R b/tests/testthat/test-downloadRDBESDataZip.R
new file mode 100644
index 0000000..4d5af4b
--- /dev/null
+++ b/tests/testthat/test-downloadRDBESDataZip.R
@@ -0,0 +1,129 @@
+capture.output({
+
+test_that("buildSimpleRDBESDownloadPayload builds CS payloads", {
+  payload <- buildSimpleRDBESDownloadPayload(
+    datatype = "CS",
+    year = 2025,
+    country = "EE",
+    hierarchy = 8,
+    export_format = "CsvFilePerTable"
+  )
+
+  expect_equal(payload$dataType, "CS")
+  expect_equal(payload$format, "CsvFilePerTable")
+  expect_equal(payload$hierarchies, list("H8"))
+  expect_equal(payload$csFilters$deYear, list("2025"))
+  expect_equal(payload$csFilters$sdCountry, list("EE"))
+})
+
+test_that("buildSimpleRDBESDownloadPayload builds CL payloads", {
+  payload <- buildSimpleRDBESDownloadPayload(
+    datatype = "cl",
+    year = "2024",
+    country = "DK",
+    hierarchy = NULL,
+    export_format = "CsvFilePerTable"
+  )
+
+  expect_equal(payload$dataType, "CL")
+  expect_equal(payload$hierarchies, list("HCL"))
+  expect_equal(payload$clFilters$clYear, list("2024"))
+  expect_equal(payload$clFilters$clVesselFlagCountry, list("DK"))
+})
+
+test_that("buildSimpleRDBESDownloadPayload validates required inputs", {
+  expect_error(
+    buildSimpleRDBESDownloadPayload(NULL, 2025, "EE", NULL, "CsvFilePerTable"),
+    "Provide datatype, year, and country"
+  )
+  expect_error(
+    buildSimpleRDBESDownloadPayload("XX", 2025, "EE", NULL, "CsvFilePerTable"),
+    "Unsupported RDBES datatype"
+  )
+})
+
+test_that("helper functions normalize hierarchy and zip paths", {
+  expect_equal(normalizeRDBESHierarchy(8), "H8")
+  expect_equal(normalizeRDBESHierarchy("hcl"), "HCL")
+  expect_equal(normalizeRDBESZipPath("data", "download"), file.path("data", "download.zip"))
+  expect_equal(normalizeRDBESZipPath("data", "download.zip"), file.path("data", "download.zip"))
+})
+
+test_that("moveRDBESDownload moves or renames downloaded files", {
+  tmp <- tempdir()
+  source_file <- tempfile(tmpdir = tmp, fileext = ".zip")
+  target_file <- tempfile(tmpdir = tmp, fileext = ".zip")
+  writeLines("zip placeholder", source_file)
+
+  moveRDBESDownload(source_file, target_file)
+
+  expect_false(file.exists(source_file))
+  expect_true(file.exists(target_file))
+  expect_equal(readLines(target_file), "zip placeholder")
+})
+
+test_that("downloadRDBESDataZip delegates to rdbes_download_data", {
+  downloaded_file <- tempfile(fileext = ".zip")
+  calls <- list()
+  local_mocked_bindings(
+    rdbes_download_data = function(payload, dest_dir, production, verbose) {
+      calls[[1]] <<- list(
+        payload = payload,
+        dest_dir = dest_dir,
+        production = production,
+        verbose = verbose
+      )
+      writeLines("downloaded", downloaded_file)
+      downloaded_file
+    }
+  )
+
+  target_dir <- tempfile()
+  result <- downloadRDBESDataZip(
+    datatype = "CL",
+    year = 2025,
+    country = "EE",
+    dir = target_dir,
+    file_name = "custom_name",
+    verbose = FALSE
+  )
+
+  expect_true(result)
+  expect_equal(calls[[1]]$payload$dataType, "CL")
+  expect_equal(calls[[1]]$payload$format, "CsvFilePerTable")
+  expect_equal(calls[[1]]$dest_dir, target_dir)
+  expect_false(calls[[1]]$verbose)
+  expect_true(file.exists(file.path(target_dir, "custom_name.zip")))
+})
+
+test_that("downloadRDBESDataZip accepts a full payload", {
+  downloaded_file <- tempfile(fileext = ".zip")
+  custom_payload <- list(
+    dataType = "CS",
+    format = "CsvFilePerTable",
+    hierarchies = list("H8"),
+    csFilters = list(deYear = list("2025"), sdCountry = list("EE"))
+  )
+  calls <- list()
+  local_mocked_bindings(
+    rdbes_download_data = function(payload, dest_dir, production, verbose) {
+      calls[[1]] <<- payload
+      writeLines("downloaded", downloaded_file)
+      downloaded_file
+    }
+  )
+
+  target_dir <- tempfile()
+  result <- downloadRDBESDataZip(
+    payload = custom_payload,
+    dir = target_dir,
+    file_name = "payload_name",
+    verbose = FALSE
+  )
+
+  expect_true(result)
+  expect_equal(calls[[1]], custom_payload)
+  expect_true(file.exists(file.path(target_dir, "payload_name.zip")))
+})
+
+})

From f82043d665b3bc9555db43b8802b1def4062a99c Mon Sep 17 00:00:00 2001
From: Richard Meitern <richard.meitern@gmail.com>
Date: Fri, 8 May 2026 16:23:50 +0300
Subject: [PATCH 44/87] fixes #259

---
 R/addCLtoLowerCS.R                   |  2 +-
 tests/testthat/test-addCLtoLowerCS.R | 27 +++++++++++++++++++++++++++
 2 files changed, 28 insertions(+), 1 deletion(-)

diff --git a/R/addCLtoLowerCS.R b/R/addCLtoLowerCS.R
index 8d3062e..fad6489 100644
--- a/R/addCLtoLowerCS.R
+++ b/R/addCLtoLowerCS.R
@@ -47,7 +47,7 @@ addCLtoLowerCS <- function(rdbes, strataListCS, strataListCL, combineStrata =T,
   # Function to subset data.table based on criteria list
   subset_dt <- function(dt, criteria) {
     for (field in names(criteria)) {
-      dt <- dt[get(field) == criteria[[field]], ]
+      dt <- dt[get(field) %in% criteria[[field]], ]
     }
     return(dt)
   }
diff --git a/tests/testthat/test-addCLtoLowerCS.R b/tests/testthat/test-addCLtoLowerCS.R
index f206ecd..52c33c8 100644
--- a/tests/testthat/test-addCLtoLowerCS.R
+++ b/tests/testthat/test-addCLtoLowerCS.R
@@ -34,6 +34,33 @@ test_that("addCLtoLowerCS adds the correct sumCLoffWeight column with valid inpu
   expect_equal(result$sumCLoffWeight[1], 396210)
 })
 
+test_that("addCLtoLowerCS supports multiple CL values for a stratum", {
+  strataListCS_multiquarter <- list(
+    LEarea = "27.3.d.28.1",
+    LEmetier6 = "OTM_SPF_16-31_0_0",
+    TEstratumName = month.name[1:6],
+    SAspeCodeFAO = "SPR"
+  )
+  strataListCL_multiquarter <- list(
+    CLarea = "27.3.d.28.1",
+    CLquar = 1:2,
+    CLmetier6 = "OTM_SPF_16-31_0_0",
+    CLspecFAO = "SPR"
+  )
+
+  result <- expect_warning(addCLtoLowerCS(
+    mock_rdbes,
+    strataListCS_multiquarter,
+    strataListCL_multiquarter,
+    combineStrata = TRUE,
+    lowerHierarchy = "C",
+    CLfields = c("CLoffWeight")
+  ))
+
+  expect_true(nrow(result) > 0)
+  expect_equal(unique(result$sumCLoffWeight), 443832)
+})
+
 # Test 4: Check that the function handles unsupported lowerHierarchy correctly
 test_that("addCLtoLowerCS throws an error if lowerHierarchy is unsupported", {
   expect_error(

From f958ed7b0c1b85d37f00ffbbfa7ca48950ddedef Mon Sep 17 00:00:00 2001
From: Richard Meitern <richard.meitern@gmail.com>
Date: Thu, 8 Oct 2026 18:04:00 +0300
Subject: [PATCH 45/87] drafting AI #264

---
 README.md | 169 +++++++++++++++++++++++++++++++++++++++++-------------
 1 file changed, 130 insertions(+), 39 deletions(-)

diff --git a/README.md b/README.md
index 5d46620..496dc03 100644
--- a/README.md
+++ b/README.md
@@ -62,7 +62,7 @@ References
 ----------
 
 * Regional Database & Estimation System:
-https://sboxrdbes.ices.dk/
+https://rdbes.ices.dk/
 
 * Working Group on Governance of the Regional Database & Estimation System:
 https://www.ices.dk/community/groups/Pages/WGRDBESGOV.aspx
@@ -97,63 +97,154 @@ install_github("ices-tools-dev/RDBEScore@dev", build = FALSE)
 
 ## How to Start developing
 
-A good starting setup is a recent version of R, RStudio, and the packages commonly used for package development. `RDBEScore` currently requires R 4.1 or newer. In practice, most contributors will also want `remotes`, `devtools`, `roxygen2` and `testthat` installed locally. 
+Contributions and the use of AI coding tools are tolerated, but all code must be tested and checked by humans to maintain the reliability of the package.
 
-Use **camelCase** for new function names so they match the existing package style. A good function for a new contributor to take as an example is [createRDBESDataObject](https://github.com/ices-tools-dev/RDBEScore/blob/dev/R/createRDBESDataObject.R) but if you prefer something even more compact [getTablesInRDBESHierarchy](https://github.com/ices-tools-dev/RDBEScore/blob/dev/R/getTablesInRDBESHierarchy.R) is another good candidate. 
+### 1. Getting started
 
-Development work should start from the `dev` branch. Before making changes, pull the latest `dev`, create or claim an issue, and make the changes locally. New package code should be added to the core package directories so that it is available to other contributors and can be built and checked in the normal package workflow. In most cases this means placing function code in `R/`, packaged data in `data/`, data-preparation scripts in `data-raw/`, tests in `tests/`, and user-facing examples or longer documentation in `vignettes/`. The repository also contains `WGRDBES-EST` directory for extra documentation.
+Install a recent version of R (4.1 or newer), preferably with RStudio, and the packages `remotes`, `devtools`, `roxygen2` and `testthat`.
 
-When adding a new function, **aim to commit a complete unit of work rather than an unfinished fragment**. A typical contribution includes the function itself, roxygen2 documentation, any supporting example data, and tests for the new behaviour. If a change affects user workflows, add or update a vignette example when possible. This is more helpful to new users than adding code alone, and it makes review easier for maintainers.
+Use **camelCase** for new function names to match the existing package style. Two useful examples are [createRDBESDataObject](https://github.com/ices-tools-dev/RDBEScore/blob/dev/R/createRDBESDataObject.R) and the simpler [getTablesInRDBESHierarchy](https://github.com/ices-tools-dev/RDBEScore/blob/dev/R/getTablesInRDBESHierarchy.R).
 
-Before pushing changes, run local checks. At a minimum, regenerate documentation if needed, run tests, and **run a package check**. A common local workflow is:
+The main package directories are:
+
+- `R/` — R functions
+- `tests/testthat/` — function tests
+- `data/` — packaged datasets
+- `data-raw/` — scripts preparing package data
+- `vignettes/` — examples and user guides
+- `WGRDBES-EST/` — additional documentation
+
+### 2. Development workflow
+
+1. **Create or claim a GitHub issue.** Describe what needs to be added or changed, including the expected behaviour. Assign yourself to the issue so others know you are working on it.
+
+2. **Start from the latest `dev` branch.** Work directly on `dev` or create your own development branch based on it. The `main` branch is protected and only accepts changes through pull requests.
+
+3. **Write or modify the code and tests.** You can do this manually or with AI coding tools. New functions should include roxygen2 documentation and appropriate tests. Add or update examples and vignettes when relevant. Aim to keep changes related to one issue together.
+
+4. **Document AI involvement and human approvals.** Add the information described in Section 3 to every new or substantially modified function and test(s).
+
+5. **Check the complete package** before integrating changes into `dev`. Regenerate documentation, run the tests and check the package:
+
+   ```r
+   devtools::document()
+   devtools::test()
+   devtools::check()
+   ```
+
+   Fix any problems introduced by your changes before submitting them.
+
+6. **Commit your changes**, including the issue number in the commit message, for example: `Improve data validation #123` GitHub automatically links the commit to the issue, preserving the development history. Keep unrelated changes in separate commits whenever possible.
+
+7. **Request additional review if needed.** Ask another contributor in the issue discussion or add the `human review required` label. Once the changes are ready, they can be incorporated into `dev`. Only changes considered ready for release should be transferred to `main`.
+
+### 3. AI-assisted development and human review
+
+Starting with version 0.3.5, contributors are allowed to use AI coding tools to accelerate development. However, all contributors remain responsible for understanding and verifying their code, regardless of whether it was written manually or generated with AI.
+
+Every **new or substantially modified** function and test must document **AI involvement** and **human approvals**.
+
+**Function documentation**
+
+Include a `Development review` section in the function's roxygen2 documentation so that the information appears in the installed package's R help pages (`?functionName`).
+
+```r
+#' @section Development review:
+#' - AI-assisted: Yes
+#' - Human approvals: 1 (Jane Smith)
+#' - Notes/scope: Tested with hierarchy H5 using
+#'   2025 RDBES data (downloaded 2026-10-14).
+```
+
+**Test documentation**
+
+Add the same information as comments immediately before **each `test_that()` block**, rather than only at the beginning of the test file. Different tests may have different authors, reviewers or levels of verification.
+
+```r
+# AI-assisted: Yes
+# Human approvals: 1 (Jane Smith)
+# Notes/scope: Expected results checked manually.
+test_that("function returns correct values", {
+  expect_equal(myFunction(2), 4)
+})
+
+# AI-assisted: No
+# Human approvals: 2 (Jane Smith, John Brown)
+test_that("function handles missing values", {
+  expect_true(is.na(myFunction(NA)))
+})
+```
+
+**Meaning of the fields**
+
+- **AI-assisted:** `Yes` if AI tools were used to generate or substantially modify the current code or test, otherwise `No`. Routine autocomplete or minor wording corrections do not need to be reported.
+- **Human approvals:** Number and full names of people who have checked and accepted the current implementation or test. The original contributor records one approval after checking their own work. Each additional reviewer who approves the current version is added.
+- **Notes/scope (optional):** Briefly describe what has been verified, for example specific RDBES sampling hierarchies, datasets, reference calculations, or known limitations. Include data versions or dates when relevant.
+
+**Updating approvals**
+
+When another person reviews the code or test and approves it without changes, add their name:
 
 ```r
-devtools::document()
-devtools::test()
-#optionally do a full check as well
-devtools::check()
+# Human approvals: 2 (Jane Smith, John Brown)
 ```
 
-## On `data.table` usage
+If a reviewer substantially modifies the code, previous approvals are no longer assumed to apply. The person making the changes checks the modified version and updates the approval record:
+
+```r
+# Human approvals: 1 (John Brown)
+```
+
+Approvals for functions and tests are maintained separately. A change to one does not automatically invalidate approval of the other, unless its correctness is affected.
+
+**Testing and scientific reliability**
+
+All new or modified functionality should have appropriate tests. Expected test results must be independently established or checked by a human, rather than relying solely on AI-generated expectations. Where possible, statistical estimation functions should be tested against manually calculated results, published examples or independently verified reference implementations.
+
+Additional independent human review is particularly encouraged for statistical estimation functions and scientifically important data transformations. The number of human approvals indicates the extent of documented human review, but does not by itself guarantee scientific correctness. The optional `Notes/scope` field can clarify what has actually been verified.
+
+Existing functions and tests do not need to be retrospectively classified unless they are substantially modified.
+
+### 4. Releasing reviewed changes to `main`
+
+The `dev` branch may contain functions that are still being developed, tested or reviewed. **Only changes considered ready for release should be transferred to `main`.**
+
+When preparing a release:
+
+1. Identify the functions and changes that are ready, considering their tests, human approvals and any review notes.
+2. If only some changes from `dev` are ready, create a release branch from `main` and selectively transfer the required commits using Git cherry-pick. Include any dependent changes, tests and documentation.
+3. Run `devtools::document()`, `devtools::test()` and `devtools::check()` on the complete release candidate.
+4. Submit a pull request to `main` for final review and merging.
+
+Changes that are not yet sufficiently reviewed remain in `dev`. The complete `dev` branch should only be merged into `main` when all included changes are ready for release.
+
+Keeping commits focused on individual issues or functions makes selective releases easier.
+
+### 5. On `data.table` usage
+
+Objects of type `data.table` passed as parameters should be copied before modification to avoid unintentionally changing the original object by reference.
+
+For example:
 
-Objects of type `data.table` passed as parameters should be copied before modification. As an example:
 ```r
-function zeroIds(sl) {
+zeroIds <- function(sl) {
   sl <- data.table::copy(sl)
-  sl[,SLid:=0]
+  sl[, SLid := 0]
   sl
 }
 ```
-Now invocations of this function on SL tables will not alter the original copy.
 
-## Precommit-hook framework
+This ensures that calling `zeroIds()` does not modify the original input table.
 
-For adhering to package styling guides it is advisable to use precommit checks while developing.
-In order to run lintr and styler (etc) before committing code, follow the instructions at the following address: https://github.com/lorenzwalthert/precommit#installation
+### 6. Building binary packages (optional)
 
-1. Check that python3 is installed and install if necessary
-2. Run pip install
-   ```bash
-   pip3 install pre-commit --user
-   ```
-3. Install R precommit package
-   ```r
-   install.packages("precommit")
-   ```
-4. Run at the root of the git repository.
-   ```r
-   library(precommit)
-   precommit::use_precommit()
-   ```
-5. Running git commit should run the various checks automatically. See [the config file](.pre-commit-config.yaml) for all the checks.
+Binary packages can be built in RStudio using **Build → More → Build Binary Package**.
 
-## Building binary packages
+Alternatively, use the command line:
 
-Building binary packages can be achieved by running the following commands.
 ```bash
-Rscript.exe -e "roxygen2::roxygenize('.', roclets = c('rd', 'collate', 'namespace'))"
-Rcmd.exe INSTALL --build --preclean .
+Rscript -e "roxygen2::roxygenize('.', roclets = c('rd', 'collate', 'namespace'))"
+R CMD INSTALL --build .
 ```
-Note to replace `.` with the relative path of the project if necessary. Also on some operating systems, `Rcmd.exe` is called `Rcmd` and `Rscript.exe` is `Rcmd` respectively.
 
-In R-studio there is also a button on the `build` - tab: `More -> Build Binary Package` that builds the binary package.
+Commands and executable names may vary slightly between operating systems. Building binary packages is not required for normal development.

From 47a1a2dbcd0d6fcf94b69d032c52c8a757cad27e Mon Sep 17 00:00:00 2001
From: Richard Meitern <rix133@users.noreply.github.com>
Date: Fri, 9 Oct 2026 12:22:04 +0300
Subject: [PATCH 46/87] Agree on common schedule

Updated terminology and added sections about plenary #264
---
 README.md | 33 ++++++++++++++++++---------------
 1 file changed, 18 insertions(+), 15 deletions(-)

diff --git a/README.md b/README.md
index 496dc03..de711c6 100644
--- a/README.md
+++ b/README.md
@@ -122,7 +122,7 @@ The main package directories are:
 
 3. **Write or modify the code and tests.** You can do this manually or with AI coding tools. New functions should include roxygen2 documentation and appropriate tests. Add or update examples and vignettes when relevant. Aim to keep changes related to one issue together.
 
-4. **Document AI involvement and human approvals.** Add the information described in Section 3 to every new or substantially modified function and test(s).
+4. **Document AI involvement and human review.** Add the information described in Section 3 to every new or substantially modified function and test(s).
 
 5. **Check the complete package** before integrating changes into `dev`. Regenerate documentation, run the tests and check the package:
 
@@ -142,7 +142,7 @@ The main package directories are:
 
 Starting with version 0.3.5, contributors are allowed to use AI coding tools to accelerate development. However, all contributors remain responsible for understanding and verifying their code, regardless of whether it was written manually or generated with AI.
 
-Every **new or substantially modified** function and test must document **AI involvement** and **human approvals**.
+Every **new or substantially modified** function and test must document **AI involvement** and **human review**.
 
 **Function documentation**
 
@@ -151,7 +151,7 @@ Include a `Development review` section in the function's roxygen2 documentation
 ```r
 #' @section Development review:
 #' - AI-assisted: Yes
-#' - Human approvals: 1 (Jane Smith)
+#' - Human review: janesmith
 #' - Notes/scope: Tested with hierarchy H5 using
 #'   2025 RDBES data (downloaded 2026-10-14).
 ```
@@ -162,14 +162,14 @@ Add the same information as comments immediately before **each `test_that()` blo
 
 ```r
 # AI-assisted: Yes
-# Human approvals: 1 (Jane Smith)
+# Human review: janesmith
 # Notes/scope: Expected results checked manually.
 test_that("function returns correct values", {
   expect_equal(myFunction(2), 4)
 })
 
 # AI-assisted: No
-# Human approvals: 2 (Jane Smith, John Brown)
+# Human review: janesmith, johnbrown
 test_that("function handles missing values", {
   expect_true(is.na(myFunction(NA)))
 })
@@ -178,30 +178,30 @@ test_that("function handles missing values", {
 **Meaning of the fields**
 
 - **AI-assisted:** `Yes` if AI tools were used to generate or substantially modify the current code or test, otherwise `No`. Routine autocomplete or minor wording corrections do not need to be reported.
-- **Human approvals:** Number and full names of people who have checked and accepted the current implementation or test. The original contributor records one approval after checking their own work. Each additional reviewer who approves the current version is added.
+- **Human review:** Github usernames of people who have checked and accepted the current implementation or test. The original contributor records one approval after checking their own work. Each additional reviewer who approves the current version is added.
 - **Notes/scope (optional):** Briefly describe what has been verified, for example specific RDBES sampling hierarchies, datasets, reference calculations, or known limitations. Include data versions or dates when relevant.
 
-**Updating approvals**
+**Updating review**
 
-When another person reviews the code or test and approves it without changes, add their name:
+When another person reviews the code or test and approves it without changes, add their username:
 
 ```r
-# Human approvals: 2 (Jane Smith, John Brown)
+# Human review: janesmith, johnbrown
 ```
 
-If a reviewer substantially modifies the code, previous approvals are no longer assumed to apply. The person making the changes checks the modified version and updates the approval record:
+If a reviewer substantially modifies the code, previous review are no longer assumed to apply. The person making the changes checks the modified version and updates the approval record:
 
 ```r
-# Human approvals: 1 (John Brown)
+# Human review: johnbrown
 ```
 
-Approvals for functions and tests are maintained separately. A change to one does not automatically invalidate approval of the other, unless its correctness is affected.
+review for functions and tests are maintained separately. A change to one does not automatically invalidate approval of the other, unless its correctness is affected.
 
 **Testing and scientific reliability**
 
 All new or modified functionality should have appropriate tests. Expected test results must be independently established or checked by a human, rather than relying solely on AI-generated expectations. Where possible, statistical estimation functions should be tested against manually calculated results, published examples or independently verified reference implementations.
 
-Additional independent human review is particularly encouraged for statistical estimation functions and scientifically important data transformations. The number of human approvals indicates the extent of documented human review, but does not by itself guarantee scientific correctness. The optional `Notes/scope` field can clarify what has actually been verified.
+Additional independent human review is particularly encouraged for statistical estimation functions and scientifically important data transformations. The number of human review indicates the extent of documented human review, but does not by itself guarantee scientific correctness. The optional `Notes/scope` field can clarify what has actually been verified.
 
 Existing functions and tests do not need to be retrospectively classified unless they are substantially modified.
 
@@ -209,13 +209,16 @@ Existing functions and tests do not need to be retrospectively classified unless
 
 The `dev` branch may contain functions that are still being developed, tested or reviewed. **Only changes considered ready for release should be transferred to `main`.**
 
-When preparing a release:
+We aim at 2 releases a year (autumn and spring) and an online meeting will be scheduled to a approve the pull request to the main
 
-1. Identify the functions and changes that are ready, considering their tests, human approvals and any review notes.
+When preparing a release a subset of the package contributors will:
+
+1. Identify the functions and changes that are ready, considering their tests, human review and any review notes.
 2. If only some changes from `dev` are ready, create a release branch from `main` and selectively transfer the required commits using Git cherry-pick. Include any dependent changes, tests and documentation.
 3. Run `devtools::document()`, `devtools::test()` and `devtools::check()` on the complete release candidate.
 4. Submit a pull request to `main` for final review and merging.
 
+
 Changes that are not yet sufficiently reviewed remain in `dev`. The complete `dev` branch should only be merged into `main` when all included changes are ready for release.
 
 Keeping commits focused on individual issues or functions makes selective releases easier.

From 47474bef48bfd6f349c11c07f23b9a61a7d6c124 Mon Sep 17 00:00:00 2001
From: Richard Meitern <richard.meitern@gmail.com>
Date: Fri, 9 Oct 2026 15:35:59 +0300
Subject: [PATCH 47/87] replacing all dplyr code to remove the dependency #265

---
 DESCRIPTION                                 |   3 +-
 NEWS.md                                     |   5 +
 R/createRDBESEstObject.R                    |  45 ++---
 R/data.R                                    |   4 +-
 R/filterRDBESEstObject.R                    |  12 +-
 R/findOrphansByTable.R                      |  13 +-
 R/generateMissingSSRows.R                   |  17 +-
 R/generateZerosUsingSL.R                    |  12 +-
 R/joinDT.R                                  |  77 ++++++++
 R/removeBrokenSpeciesListLinks.R            |  18 +-
 R/removeBrokenVesselLinks.R                 |   8 +-
 R/updateSAwithTaxonFromSL.R                 |  20 +-
 R/utils.R                                   | 116 ++++++------
 R/validateRDBESDataObjectDataTypes.R        |   7 +-
 man/H7Example.Rd                            |   4 +-
 man/H8ExampleEE1.Rd                         |   4 +-
 man/createRDBESEstObject.Rd                 |   8 +
 man/extractHigherFields.Rd                  |  46 +++++
 man/filterRDBESEstObject.Rd                 |   8 +
 man/findOrphansByTable.Rd                   |   8 +
 man/generateMissingSSRows.Rd                |   8 +
 man/generateZerosUsingSL.Rd                 |   8 +
 man/joinDT.Rd                               |  60 ++++++
 man/makeDT.Rd                               |  20 ++
 man/removeBrokenSpeciesListLinks.Rd         |   8 +
 man/removeBrokenVesselLinks.Rd              |   8 +
 man/updateSAwithTaxonFromSL.Rd              |   8 +
 man/validateRDBESDataObjectDataTypes.Rd     |   8 +
 tests/testthat/test-joinDT.R                | 195 ++++++++++++++++++++
 tests/testthat/test-utils.R                 |  33 ++++
 vignettes/v02a-generating-probabilities.Rmd |  10 +-
 31 files changed, 671 insertions(+), 130 deletions(-)
 create mode 100644 R/joinDT.R
 create mode 100644 man/extractHigherFields.Rd
 create mode 100644 man/joinDT.Rd
 create mode 100644 man/makeDT.Rd
 create mode 100644 tests/testthat/test-joinDT.R

diff --git a/DESCRIPTION b/DESCRIPTION
index aaaa596..bfc2b7f 100644
--- a/DESCRIPTION
+++ b/DESCRIPTION
@@ -1,7 +1,7 @@
 Package: RDBEScore
 Type: Package
 Title: Functions for the ICES Regional Database and Estimation System (RDBES)
-Version: 0.3.5
+Version: 0.4.0
 Author: c(
     person(given = "David",
            family = "Currie",
@@ -120,7 +120,6 @@ Suggests:
 Depends:
     R (>= 4.1)
 Imports:
-    dplyr (>= 1.1.3),
     data.table,
     icesRDBES
 VignetteBuilder: knitr
diff --git a/NEWS.md b/NEWS.md
index fe60ad8..fd73038 100644
--- a/NEWS.md
+++ b/NEWS.md
@@ -1,3 +1,8 @@
+# RDBEScore 0.4.0
+
+- Dependencies: removed `dplyr` from Imports. Joins now use the internal `data.table` helper `joinDT()`, which keeps dplyr's row order, column order and `.x`/`.y` suffixes, so results are unchanged; `filterRDBESEstObject()` and the vignette use base R/`data.table` instead of dplyr.
+- Bug fix: addressed [#259](https://github.com/ices-tools-dev/RDBEScore/issues/259) selecting multiple strata with `addCLtoLowerCS()`
+
 # RDBEScore 0.3.5
 
 - Bug fix: addressed [#251](https://github.com/ices-tools-dev/RDBEScore/issues/251).
diff --git a/R/createRDBESEstObject.R b/R/createRDBESEstObject.R
index 4bdd759..700f7d8 100644
--- a/R/createRDBESEstObject.R
+++ b/R/createRDBESEstObject.R
@@ -18,6 +18,11 @@
 #'
 #' @return An object of class RDBESEstObject ready for use in design based
 #' estimation
+#' 
+#' @section Development review:
+#' - AI-assisted: No
+#' - Human review: rix133
+#' 
 #' @export
 #'
 #' @examples
@@ -212,7 +217,7 @@ createRDBESEstObject <- function(rdbesPrepObject,
     # (much faster than the recursive "getSubSampleLevel()" function it was using before)
     lookupDT <- prepareSubSampleLevelLookup(SAdata)
     # Apply it
-    subSampleLevels <- dplyr::left_join(SAdata, lookupDT, by = "SAid")
+    subSampleLevels <- joinDT(SAdata, lookupDT, by = "SAid")
     subSampleLevels <- subSampleLevels[,c("SAid","topLevelSAid","subSampleLevel")]
 
     rdbesPrepObjectCopy[["SA"]][, "SAtopLevelSAid"] <-
@@ -330,11 +335,9 @@ createRDBESEstObject <- function(rdbesPrepObject,
       # Use a left join on the deepest level of sampling so that we
       # get all the upper hierarchy rows
       if (j == numberOfSampleLevels) {
-        tempRDBESEstObj <- dplyr::left_join(tempUpper,
+        tempRDBESEstObj <- joinDT(tempUpper,
           tempLower,
-          by = saJoinField,
-          multiple = "all"
-
+          by = saJoinField
         )
       } else {
 
@@ -366,10 +369,10 @@ createRDBESEstObject <- function(rdbesPrepObject,
 
         # Use an inner join on the
         # currnt SA level so that we just get the matching rows
-        tempRDBESEstObj <- dplyr::inner_join(tempUpper,
+        tempRDBESEstObj <- joinDT(tempUpper,
           tempLower,
           by = saJoinField,
-          multiple = "all"
+          type = "inner"
         )
       }
       if (verbose) {
@@ -482,10 +485,9 @@ gc()
     gc()
     # if we have both FM and BV data - join them together
     fMBV <-
-      dplyr::left_join(rdbesPrepObject[["FM"]],
+      joinDT(rdbesPrepObject[["FM"]],
         rdbesPrepObject[["BV"]],
-        by = "FMid",
-        multiple = "all"
+        by = "FMid"
       )
     gc()
     # sort out the wrong SAid column name after the join
@@ -522,10 +524,10 @@ gc()
   } else {
 gc()
     # if we have both FM and BV data - join them together
-    bVFM <- dplyr::right_join(rdbesPrepObject[["FM"]],
+    bVFM <- joinDT(rdbesPrepObject[["FM"]],
       rdbesPrepObject[["BV"]],
       by = "FMid",
-      multiple = "all"
+      type = "right"
     )
     # sort out the wrong SAid column name after the join
     names(bVFM)[names(bVFM) == "SAid.y"] <- "SAid"
@@ -547,16 +549,16 @@ gc()
 
   # If we have data join our lowerX with the fmBV or BVFm data
   if (!is.null(nrow(fMBV))){
-    lowerA <- dplyr::left_join(lowerA, fMBV, by = "SAid", multiple = "all")
-    lowerB <- dplyr::left_join(lowerB, fMBV, by = "SAid", multiple = "all")
-    #lowerD <- dplyr::left_join(lowerD, fMBV, by = "SAid")
+    lowerA <- joinDT(lowerA, fMBV, by = "SAid")
+    lowerB <- joinDT(lowerB, fMBV, by = "SAid")
+    #lowerD <- joinDT(lowerD, fMBV, by = "SAid")
     lowerD <- NULL
     allLower <- rbind(allLower,lowerA, lowerB, lowerD)
   }
 
   if (!is.null(nrow(bVFM))){
     # Note the difference in lowerC
-    lowerC <- dplyr::left_join(lowerC, bVFM, by = "SAid", multiple = "all")
+    lowerC <- joinDT(lowerC, bVFM, by = "SAid")
     allLower <- rbind(allLower,lowerC)
   }
 
@@ -668,19 +670,12 @@ gc()
       }
       gc()
       # Join this new table to the existing data
+      # (joinDT keeps the columns and rows in the order of myRDBESEstObj)
       myRDBESEstObj <-
-        dplyr::left_join(myRDBESEstObj,
+        joinDT(myRDBESEstObj,
           rdbesPrepObject[[thisTable]],
           by = joinField
-          , multiple = "all"
         )
-      # TODO Should be able to use data.table to do a left join instead of dplyr
-      # but the two lines below were both wrong.  The first gives the columns back in the
-      # wrong order.  The second gives the columns in the right order but doesn't
-      # include all the rows :-(
-      #myRDBESEstObj <- rdbesPrepObject[[thisTable]][myRDBESEstObj, on = joinField]
-      # (the order of the tables is to ensure the columns are returned in the right order)
-      #myRDBESEstObj <- myRDBESEstObj[rdbesPrepObject[[thisTable]],  on = joinField]
     }
     gc()
     # recursively call this function
diff --git a/R/data.R b/R/data.R
index cf8db88..f2dd08a 100644
--- a/R/data.R
+++ b/R/data.R
@@ -156,7 +156,7 @@
 #'   \item{IS}{the Individual Species table}
 
 #' }
-#' #' @source Richard Meitern @ Estonian Marine Institute, 2025
+#' @source Richard Meitern @ Estonian Marine Institute, 2025
 "H7Example"
 
 #' A dataset containing test RDBES data for H8 in the RDBESDataObject structure
@@ -182,7 +182,7 @@
 #'   \item{CL}{the Commertial Landing data table}
 #'   \item{CE}{the Commertial Effort data table}
 #' }
-#' #' @source Richard Meitern @ Estonian Marine Institute, 2025
+#' @source Richard Meitern @ Estonian Marine Institute, 2025
 "H8ExampleEE1"
 
 #' A dataset containing test RDBES data for H5 in the RDBESDataObject structure
diff --git a/R/filterRDBESEstObject.R b/R/filterRDBESEstObject.R
index ba71e4a..76b1df4 100644
--- a/R/filterRDBESEstObject.R
+++ b/R/filterRDBESEstObject.R
@@ -13,6 +13,9 @@
 #' @return the filtered input object of the same class as
 #'   `RDBESEstObjectToFilter`
 #'
+#' @section Development review:
+#' - AI-assisted: No
+#' - Human review: rix133
 #' @export
 #' @md
 #'
@@ -46,10 +49,11 @@ filterRDBESEstObject <- function(RDBESEstObjectToFilter,
 
   foundNames <- fieldsToFilter[fieldsToFilter %in% allColNames]
   if (length(foundNames) > 0) {
-    RDBESEstObjectToFilter <-
-            dplyr::filter(RDBESEstObjectToFilter,
-                  dplyr::if_all(all_of(foundNames), ~ .x %in% valuesToFilter)
-                  )
+    # Keep the rows where all of the found fields have an allowed value
+    rowsToKeep <- Reduce(`&`, lapply(foundNames, function(fieldName) {
+      RDBESEstObjectToFilter[[fieldName]] %in% valuesToFilter
+    }))
+    RDBESEstObjectToFilter <- RDBESEstObjectToFilter[rowsToKeep, ]
   }
 
   return(RDBESEstObjectToFilter)
diff --git a/R/findOrphansByTable.R b/R/findOrphansByTable.R
index 1f4f77b..7c2a78d 100644
--- a/R/findOrphansByTable.R
+++ b/R/findOrphansByTable.R
@@ -10,6 +10,9 @@
 #' @return A data frame with the primary keys of the table checked, the two
 #' letter table identifier, and their orphan status.
 #'
+#' @section Development review:
+#' - AI-assisted: No
+#' - Human review: rix133
 findOrphansByTable <- function(tableToCheck,
                                objectToCheck,
                                foreignKeyIds,
@@ -45,14 +48,16 @@ findOrphansByTable <- function(tableToCheck,
       if (!is.null(objectToCheck[[fkTable]])) {
         if (myFK == "SAparSequNum") {
           # Need to handle SAparSequNum differently
-          joinedTables <- dplyr::inner_join(myTable,
+          joinedTables <- joinDT(myTable,
             objectToCheck[[fkTable]],
-            by = c("SAseqNum" = "SAparSequNum")
+            by = c("SAseqNum" = "SAparSequNum"),
+            type = "inner"
           )
         } else {
-          joinedTables <- dplyr::inner_join(myTable,
+          joinedTables <- joinDT(myTable,
             objectToCheck[[fkTable]],
-            by = myFK
+            by = myFK,
+            type = "inner"
           )
         }
 
diff --git a/R/generateMissingSSRows.R b/R/generateMissingSSRows.R
index 13ac2bb..f107c51 100644
--- a/R/generateMissingSSRows.R
+++ b/R/generateMissingSSRows.R
@@ -13,6 +13,10 @@
 #' the validation be strict? The default is TRUE.
 #'
 #' @return A data table of SS data with any missing rows added
+#' 
+#' @section Development review:
+#' - AI-assisted: No
+#' - Human review: rix133
 #' @export
 #'
 #' @examples
@@ -76,11 +80,12 @@ generateMissingSSRows <- function(RDBESDataObject,
   # Get the unique combinations of SL country, year, and list names
   mySLUnique <- unique(mySL[,c("SLcou","SLyear","SLspeclistName")])
 
-  mySSSLUnique <- dplyr::inner_join(mySSUnique,
-                                   mySLUnique,
-                                   by = c("SSyear" = "SLyear",
-                                          "SSctry" = "SLcou",
-                                          "SSspecListName" = "SLspeclistName"))
+  mySSSLUnique <- joinDT(mySSUnique,
+                         mySLUnique,
+                         by = c("SSyear" = "SLyear",
+                                "SSctry" = "SLcou",
+                                "SSspecListName" = "SLspeclistName"),
+                         type = "inner")
 
   if (nrow(mySSSLUnique) < 1){
     stop(paste0("The requested species list is not compatible with the ",
@@ -252,7 +257,7 @@ getMissingSSCatchFraction <- function(FOdata, SSdata, catchFra, verbose) {
     myFOFraction[myFOFraction$FOcatReg == catchFra, "FOcatReg"] <- "Catch"
   }
 
-  myFOSS <- dplyr::left_join(
+  myFOSS <- joinDT(
     myFOFraction,
     SSdata,
     by = c(
diff --git a/R/generateZerosUsingSL.R b/R/generateZerosUsingSL.R
index 9c50221..19d2c57 100644
--- a/R/generateZerosUsingSL.R
+++ b/R/generateZerosUsingSL.R
@@ -11,10 +11,10 @@
 #'
 #' @return RDBES data frame where SA was complemented with species looked for
 #' (sensu in sampling objectives) but not registered in sample
+#' @section Development review:
+#' - AI-assisted: No
+#' - Human review: rix133
 #' @export
-#'
-
-
 generateZerosUsingSL <- function(x,
                                  verbose = FALSE,
                                  strict = TRUE) {
@@ -99,9 +99,9 @@ generateZerosUsingSL <- function(x,
         sppFromSL$SLrowNum <- seq.int(nrow(sppFromSL))
 
         # See which species/fraction need adding
-        sppToAdd <- dplyr::left_join(sppFromSL, SApresent,
-                                  by=c("SLcatchFrac" = "SAcatchCat",
-                                       "IScommTaxon" = "SAspeCode"))
+        sppToAdd <- joinDT(sppFromSL, SApresent,
+                           by=c("SLcatchFrac" = "SAcatchCat",
+                                "IScommTaxon" = "SAspeCode"))
         sppToAdd <- sppToAdd[is.na(sppToAdd$SArowNum),]
         sppToAdd <- sppToAdd[,c("SLcatchFrac","IScommTaxon")]
         sppToAdd <- unique(sppToAdd)
diff --git a/R/joinDT.R b/R/joinDT.R
new file mode 100644
index 0000000..4338c3a
--- /dev/null
+++ b/R/joinDT.R
@@ -0,0 +1,77 @@
+#' Join two tables using data.table
+#'
+#' Internal replacement for `dplyr::left_join()`, `dplyr::inner_join()` and
+#' `dplyr::right_join()`, built on `data.table::merge()` with `sort = FALSE`.
+#' The output follows dplyr's conventions:
+#' * rows are returned in the order of `x`, each `x` row followed by all its
+#'   matching `y` rows in the order they appear in `y`. A right join appends
+#'   the unmatched `y` rows at the end;
+#' * columns are the columns of `x` followed by the non-key columns of `y`;
+#' * non-key columns found in both tables get `suffix` added to their names;
+#' * `NA` key values match each other and many-to-many matches return all
+#'   combinations;
+#' * an integer key joined to a double key gives a double key.
+#'
+#' Differences from dplyr: if a suffixed name is already taken, `joinDT()`
+#' gives an error (dplyr adds the suffix again). Other combinations of key
+#' types follow data.table's join rules (e.g. a factor or logical key keeps the
+#' type and levels of `x`, and joining factor or logical keys to other types
+#' can give an error).
+#'
+#' The input tables are not modified.
+#'
+#' @param x,y data.frames or data.tables to join.
+#' @param by Character vector of key column names. Use a named vector, e.g.
+#'   `c("SSyear" = "SLyear")`, when the key columns have different names in
+#'   `x` (names) and `y` (values). Only the `x` key columns are kept.
+#' @param type The type of join: `"left"` keeps all rows of `x`, `"inner"`
+#'   keeps only matching rows and `"right"` keeps all rows of `y`.
+#' @param suffix Character vector of length 2 added to the names of non-key
+#'   columns found in both `x` and `y`. Use `""` to keep the names of one
+#'   table unchanged.
+#'
+#' @return A data.table if `x` is a data.table, otherwise a data.frame.
+#'
+#' @section Development review:
+#' - AI-assisted: Yes
+#' - Human review: rix133
+#' - Notes/scope: Written to remove the dplyr dependency. Tested on
+#'  every join made by the package test suite (~12k joins currently).
+#'
+#' @keywords internal
+joinDT <- function(x, y, by, type = c("left", "inner", "right"),
+                   suffix = c(".x", ".y")) {
+  type <- match.arg(type)
+  yBy <- unname(by)
+  xBy <- if (is.null(names(by))) yBy else ifelse(names(by) == "", yBy, names(by))
+
+  # convert first: merge() on a data.frame would dispatch to base R's merge().
+  # A merge() warning (e.g. duplicated column names) is turned into an error
+  out <- withCallingHandlers(
+    merge(data.table::as.data.table(x), data.table::as.data.table(y),
+          by.x = xBy, by.y = yBy,
+          all.x = type == "left", all.y = type == "right",
+          sort = FALSE, suffixes = suffix, allow.cartesian = TRUE),
+    warning = function(w) stop(conditionMessage(w), call. = FALSE))
+
+  # merge() returns the keys, the other x columns and the other y columns;
+  # restore the column order of x
+  xNames <- names(x)
+  isKey <- xNames %in% xBy
+  xNames[!isKey] <- names(out)[length(xBy) + seq_len(sum(!isKey))]
+  data.table::setcolorder(out, xNames)
+
+  # like dplyr, use a double key if the key is double in either table
+  # (merge() can turn a double x key into integer when matching integer y)
+  # this is needed because of Large ids. as.integer.or.dbl() stores an integer
+  # id column as double if any value is above 2e9 (R's 32-bit integer limit)
+  # It decides per column, so the same id can be integer in one table and double in another.
+  for (k in seq_along(xBy)) {
+    if (is.integer(out[[xBy[k]]]) &&
+        (is.double(x[[xBy[k]]]) || is.double(y[[yBy[k]]]))) {
+      data.table::set(out, j = xBy[k], value = as.double(out[[xBy[k]]]))
+    }
+  }
+  if (!data.table::is.data.table(x)) data.table::setDF(out)
+  out
+}
diff --git a/R/removeBrokenSpeciesListLinks.R b/R/removeBrokenSpeciesListLinks.R
index 31a7039..8f9c9bc 100644
--- a/R/removeBrokenSpeciesListLinks.R
+++ b/R/removeBrokenSpeciesListLinks.R
@@ -10,6 +10,9 @@
 #'
 #' @return an RDBESDataObject with any records with an invalid SpeciesListName
 #' rows removed
+#' @section Development review:
+#' - AI-assisted: No
+#' - Human review: rix133
 #' @export
 #'
 #' @examples
@@ -86,14 +89,13 @@ myTable$SSctry <- extractHigherFields(objectToCheck, "SS", "SDctry")
 
 
       # Inner join to the SL table
-      joinedTables <- dplyr::inner_join(myTable,
-                                    objectToCheck[["SL"]],
-                                    by = c("SSspecListName" = "SLspeclistName",
-                                           "SScatchFra" = "SLcatchFrac",
-                                           "SSyear" = "SLyear",
-                                           "SSctry" = "SLcou"),
-                                    multiple = "all",
-                                    relationship="many-to-many"
+      joinedTables <- joinDT(myTable,
+                             objectToCheck[["SL"]],
+                             by = c("SSspecListName" = "SLspeclistName",
+                                    "SScatchFra" = "SLcatchFrac",
+                                    "SSyear" = "SLyear",
+                                    "SSctry" = "SLcou"),
+                             type = "inner"
       )
 
 
diff --git a/R/removeBrokenVesselLinks.R b/R/removeBrokenVesselLinks.R
index 3f09bfd..541b10d 100644
--- a/R/removeBrokenVesselLinks.R
+++ b/R/removeBrokenVesselLinks.R
@@ -8,6 +8,9 @@
 #' the validation be strict? The default is TRUE.
 #'
 #' @return an RDBESDataObject with any records with an invalid VDid removed
+#' @section Development review:
+#' - AI-assisted: No
+#' - Human review: rix133
 #' @export
 #'
 #' @examples
@@ -82,9 +85,10 @@ removeBrokenVesselLinks <- function(objectToCheck,
       myOrphanResults[, "vdExists"] <- FALSE
 
       # Inner join to the VD table
-      joinedTables <- dplyr::inner_join(myTable,
+      joinedTables <- joinDT(myTable,
         objectToCheck[["VD"]],
-        by = "VDid"
+        by = "VDid",
+        type = "inner"
       )
 
       # Update the results for any matches we found
diff --git a/R/updateSAwithTaxonFromSL.R b/R/updateSAwithTaxonFromSL.R
index 076fa3c..dc17cba 100644
--- a/R/updateSAwithTaxonFromSL.R
+++ b/R/updateSAwithTaxonFromSL.R
@@ -24,7 +24,9 @@
 #' occuring in SL for level of species rank. If in SA is
 #' Sprat(126425), in SL Clupeidae (125464) function renameSpeciesSA rename Sprat
 #' from SA to Clupeidae. Clupeidae(family rank) is higher rank than Sprat(species rank).
-#'
+#'@section Development review:
+#' - AI-assisted: No
+#' - Human review: rix133
 #' @export
 #'
 #' @examples
@@ -56,26 +58,26 @@ updateSAwithTaxonFromSL <- function(RDBESDataObject,
 
   # 1st
   # Append ahpia records to SA data
-  H1_SA_new <- dplyr::left_join(H1_SA,
+  H1_SA_new <- joinDT(H1_SA,
     aphiaRecords,
     by = c("SAspeCode" = "AphiaID")
   )
 
   # Append ahpia records to IS data
   #H1_SL$SLsppCode <- as.character(H1_SL$SLsppCode)
-  #H1_SL_new <- dplyr::left_join(H1_SL,
+  #H1_SL_new <- joinDT(H1_SL,
   #  aphiaRecords,
   #  by = c("SLsppCode" = "AphiaID")
   #)
   H1_IS$ISsppCode <- as.character(H1_IS$ISsppCode)
-  H1_IS_new <- dplyr::left_join(H1_IS,
-                                aphiaRecords,
-                                by = c("ISsppCode" = "AphiaID")
+  H1_IS_new <- joinDT(H1_IS,
+                      aphiaRecords,
+                      by = c("ISsppCode" = "AphiaID")
   )
   # Combine SL with IS
-  H1_SL_new <- dplyr::left_join(H1_SL,
-                                H1_IS_new,
-                                by = "SLid")
+  H1_SL_new <- joinDT(H1_SL,
+                      H1_IS_new,
+                      by = "SLid")
 
 
   # SS only information about SLspecieslistName
diff --git a/R/utils.R b/R/utils.R
index 0e98255..3417794 100644
--- a/R/utils.R
+++ b/R/utils.R
@@ -10,7 +10,7 @@ usedVars <- c("mapColNamesFieldR",
               "..varsNeeded", "|>", "parentTableID", "est.total",
               "recType", "parentTableStratum", "stratumName",
               "parentIDandStratum", "studyVariable", "..myColNames",
-              "..methColNames", "tblName", "all_of", "SLid","SAid",
+              "..methColNames", "tblName", "SLid","SAid",
               "..myLevel","parentTable",".", "id", "i.id" )
 
 moreUsedVars  <- c("..clustFields", "DEyear", "SAcatchCat",
@@ -142,66 +142,76 @@ convert.col.names <- function(table, new.names = "R.name"){
   return(nms.new)
 }
 
-# Convert all elements of a list of data.frames into data.tables
-# Leaves existing NULL elements as NULL
+#' makeDT
+#'
+#' Converts one element of a list of data.frames into a data.table, leaving
+#' `NULL` elements as `NULL`. Used for each RDBES table in
+#' `importRDBESDataDFS()`.
+#'
+#' @param x A data.frame, or `NULL`.
+#'
+#' @return A data.table, or `NULL` if `x` is `NULL`.
+#' @keywords internal
 makeDT <- function(x){
   if(is.null(x)) return(NULL)
   data.table::as.data.table(x)
 }
 
 
-# Gets data from higher in the hierarchy for the given input `table`. Only SS
-# explicitly supported for now, but could update in the future to support any
-# table (in theory).
-#
-# `object` = an RDBESDataObject
-#
-# `table` = The table from which to start and go up the hierarchy (e.g. `"SS"`)
-#
-# `field` = The data (column name) to extract from any other table higher in the
-# hierarchy, e.g. `"DEyear"` or `"SDctry"`.
-#
-# At present will not work with data which contains more than one hierarchy.
-# Also bypasses any optional tables (e.g. FT in H5).
-# e.g.  extractHigherFields(myRDBESObject, "SS", "DEyear")
-
+#' extractHigherFields
+#'
+#' Gets data from higher in the hierarchy for the given input `table`. Only SS
+#' explicitly supported for now, but could update in the future to support any
+#' table (in theory).
+#'
+#' At present will not work with data which contains more than one hierarchy.
+#' Also bypasses any optional tables (e.g. FT in H5).
+#'
+#' @param object An RDBESDataObject.
+#' @param table The table from which to start and go up the hierarchy
+#'   (e.g. `"SS"`).
+#' @param field The data (column name) to extract from any other table higher
+#'   in the hierarchy, e.g. `"DEyear"` or `"SDctry"`.
+#'
+#' @return One value per row of `table`, in the same order. Rows that are not
+#'   linked to the table holding `field` get `NA` (e.g. orphans left by
+#'   filtering DE before `findAndKillOrphans()` runs in
+#'   `filterAndTidyRDBESDataObject()`).
+#'
+#' @section Development review:
+#' - AI-assisted: Yes
+#' - Human review: rix133
+#'
+#' @examples
+#' \dontrun{
+#'   RDBEScore:::extractHigherFields(H1Example, "SS", "DEyear")
+#' }
+#' @keywords internal
 extractHigherFields <- function(object, table, field){
 
   # Check for a single hierarchy
-  if(length(unique(object$DE$DEhierarchy)) == 1)
-    hierarchy <- paste0("H", unique(object$DE$DEhierarchy)) else
-      stop("Multiple Upper Hierarchies found.")
-
-  # object hierarchy
-  h <- paste0("H", unique(object$DE$DEhierarchy))
-
-  # get path from DE to input table
-  h.all <- tablesInRDBESHierarchies |>
-    dplyr::filter(h == hierarchy) |>
-    dplyr::arrange(sortOrder) |>
-    dplyr::filter(FALSE == optional) |>
-    dplyr::filter(FALSE == lowerHierarchy)
-  path.to.table <- h.all$table
-  path.to.table <- path.to.table[match("DE", path.to.table):match(table, path.to.table)] # path to SS
-
-  # Always start with joining DE and SD
-  joined_tbl <- dplyr::left_join(object$SD, # 2nd table
-                                 object$DE, # 1st table
-                                 by = "DEid",
-                                 suffix = c('', '.y')) # ensures the second table names are not changed, otherwise the next join might fail
-
-  for(i in 3:length(path.to.table)){ # 3 since first 2 tables always DE and SD
-
-    # Join to next table in path
-    joined_tbl <- dplyr::inner_join(object[[path.to.table[i]]], # next table
-                                    joined_tbl,
-                                    by = paste0(path.to.table[i-1], "id"), # previous table id column
-                                    suffix = c('', '.y'))
+  hierarchy <- unique(object$DE$DEhierarchy)
+  if (length(hierarchy) != 1) stop("Multiple Upper Hierarchies found.")
+
+  # path from DE to the input table, without optional and lower hierarchy tables
+  path.to.table <- getTablesInRDBESHierarchy(hierarchy,
+                                             includeOptTables = FALSE,
+                                             includeLowHierTables = FALSE)
+  path.to.table <- path.to.table[match("DE", path.to.table):match(table, path.to.table)]
+  missingTables <- path.to.table[sapply(object[path.to.table], is.null)]
+  if (length(missingTables) > 0) stop("Tables not found in the object: ", paste(missingTables, collapse = ", "))
+
+  # Walk up the path from `table`, following each row to its parent row with
+  # match(), until reaching the first table that has the field
+  rows <- seq_len(nrow(object[[table]]))
+  for (i in rev(seq_along(path.to.table))) {
+    tbl <- object[[path.to.table[i]]]
+    if (field %in% names(tbl)) return(tbl[[field]][rows])
+    if (i == 1) break
+    parentId <- paste0(path.to.table[i - 1], "id")
+    parentIds <- object[[path.to.table[i - 1]]][[parentId]]
+    if (anyDuplicated(parentIds) > 0) stop("Duplicated ", parentId, " values in table ", path.to.table[i - 1])
+    rows <- match(tbl[[parentId]][rows], parentIds, incomparables = NA)
   }
-
-  # Output column
-  if(!(field %in% names(joined_tbl))) stop("'field' not found in higher tables column names") else
-    output <- joined_tbl[[which(names(joined_tbl) == field)]]
-
-  return(output)
+  stop("'field' not found in higher tables column names")
 }
diff --git a/R/validateRDBESDataObjectDataTypes.R b/R/validateRDBESDataObjectDataTypes.R
index b72e418..84382ea 100644
--- a/R/validateRDBESDataObjectDataTypes.R
+++ b/R/validateRDBESDataObjectDataTypes.R
@@ -6,6 +6,9 @@
 #'
 #' @return A data frame containing any data type differences (an empty data
 #' frame if there are no differences)
+#' @section Development review:
+#' - AI-assisted: No
+#' - Human review: rix133
 #'
 validateRDBESDataObjectDataTypes <- function(objectToCheck){
 
@@ -41,8 +44,8 @@ validateRDBESDataObjectDataTypes <- function(objectToCheck){
 
       # Compare the two lists of column data types
       myColCompare <-
-        dplyr::inner_join(myRequiredCols,myActualCols,
-                          by=c("R.Name"="FieldName"))
+        joinDT(myRequiredCols,myActualCols,
+               by=c("R.Name"="FieldName"), type = "inner")
 
       # Get the rows that are different (ignoring the rows where we don't
       # know the data types)
diff --git a/man/H7Example.Rd b/man/H7Example.Rd
index f2aecf7..2c81397 100644
--- a/man/H7Example.Rd
+++ b/man/H7Example.Rd
@@ -17,7 +17,9 @@ A list containing entries required for H7 RDBES data:
 \item{SL}{the Species List data table}
 \item{IS}{the Individual Species table}
 }
-#' @source Richard Meitern @ Estonian Marine Institute, 2025
+}
+\source{
+Richard Meitern @ Estonian Marine Institute, 2025
 }
 \usage{
 H7Example
diff --git a/man/H8ExampleEE1.Rd b/man/H8ExampleEE1.Rd
index 3e2fa96..dd2ef81 100644
--- a/man/H8ExampleEE1.Rd
+++ b/man/H8ExampleEE1.Rd
@@ -21,7 +21,9 @@ A list containing entries required for H8 RDBES data:
 \item{CL}{the Commertial Landing data table}
 \item{CE}{the Commertial Effort data table}
 }
-#' @source Richard Meitern @ Estonian Marine Institute, 2025
+}
+\source{
+Richard Meitern @ Estonian Marine Institute, 2025
 }
 \usage{
 H8ExampleEE1
diff --git a/man/createRDBESEstObject.Rd b/man/createRDBESEstObject.Rd
index c4d6672..eec0b68 100644
--- a/man/createRDBESEstObject.Rd
+++ b/man/createRDBESEstObject.Rd
@@ -40,6 +40,14 @@ estimation
 \description{
 Creates an RDBESEstObject from RDBES data
 }
+\section{Development review}{
+
+\itemize{
+\item AI-assisted: No
+\item Human review: rix133
+}
+}
+
 \examples{
 myH1EstObj <- createRDBESEstObject(H1Example, 1, "SA")
 }
diff --git a/man/extractHigherFields.Rd b/man/extractHigherFields.Rd
new file mode 100644
index 0000000..725ad09
--- /dev/null
+++ b/man/extractHigherFields.Rd
@@ -0,0 +1,46 @@
+% Generated by roxygen2: do not edit by hand
+% Please edit documentation in R/utils.R
+\name{extractHigherFields}
+\alias{extractHigherFields}
+\title{extractHigherFields}
+\usage{
+extractHigherFields(object, table, field)
+}
+\arguments{
+\item{object}{An RDBESDataObject.}
+
+\item{table}{The table from which to start and go up the hierarchy
+(e.g. \code{"SS"}).}
+
+\item{field}{The data (column name) to extract from any other table higher
+in the hierarchy, e.g. \code{"DEyear"} or \code{"SDctry"}.}
+}
+\value{
+One value per row of \code{table}, in the same order. Rows that are not
+linked to the table holding \code{field} get \code{NA} (e.g. orphans left by
+filtering DE before \code{findAndKillOrphans()} runs in
+\code{filterAndTidyRDBESDataObject()}).
+}
+\description{
+Gets data from higher in the hierarchy for the given input \code{table}. Only SS
+explicitly supported for now, but could update in the future to support any
+table (in theory).
+}
+\details{
+At present will not work with data which contains more than one hierarchy.
+Also bypasses any optional tables (e.g. FT in H5).
+}
+\section{Development review}{
+
+\itemize{
+\item AI-assisted: Yes
+\item Human review: rix133
+}
+}
+
+\examples{
+\dontrun{
+  RDBEScore:::extractHigherFields(H1Example, "SS", "DEyear")
+}
+}
+\keyword{internal}
diff --git a/man/filterRDBESEstObject.Rd b/man/filterRDBESEstObject.Rd
index 034dc96..fcd9fc3 100644
--- a/man/filterRDBESEstObject.Rd
+++ b/man/filterRDBESEstObject.Rd
@@ -29,6 +29,14 @@ the filtered input object of the same class as
 The returned object will include all rows which include the field names
 and have one of the allowed values in \code{valuesToFilter}.
 }
+\section{Development review}{
+
+\itemize{
+\item AI-assisted: No
+\item Human review: rix133
+}
+}
+
 \examples{
 \dontrun{
 
diff --git a/man/findOrphansByTable.Rd b/man/findOrphansByTable.Rd
index 0019b62..eea37ed 100644
--- a/man/findOrphansByTable.Rd
+++ b/man/findOrphansByTable.Rd
@@ -25,3 +25,11 @@ letter table identifier, and their orphan status.
 Internal function to identify orphan records in a given
 RDBESDataObject table
 }
+\section{Development review}{
+
+\itemize{
+\item AI-assisted: No
+\item Human review: rix133
+}
+}
+
diff --git a/man/generateMissingSSRows.Rd b/man/generateMissingSSRows.Rd
index 3b716a0..f5f0fb8 100644
--- a/man/generateMissingSSRows.Rd
+++ b/man/generateMissingSSRows.Rd
@@ -37,6 +37,14 @@ OR "Lan"+"Dis". In the latter case, if one is missing the other is to
 be assumed 0.
 This function generates SS rows for any missing catch fractions.
 }
+\section{Development review}{
+
+\itemize{
+\item AI-assisted: No
+\item Human review: rix133
+}
+}
+
 \examples{
 # To follow
 }
diff --git a/man/generateZerosUsingSL.Rd b/man/generateZerosUsingSL.Rd
index e06b378..a613303 100644
--- a/man/generateZerosUsingSL.Rd
+++ b/man/generateZerosUsingSL.Rd
@@ -23,3 +23,11 @@ RDBES data frame where SA was complemented with species looked for
 examples for now see
 https://github.com/ices-eg/WK_RDBES/tree/master/WKRDB-EST2/chairs/Nuno
 }
+\section{Development review}{
+
+\itemize{
+\item AI-assisted: No
+\item Human review: rix133
+}
+}
+
diff --git a/man/joinDT.Rd b/man/joinDT.Rd
new file mode 100644
index 0000000..e4c8d1a
--- /dev/null
+++ b/man/joinDT.Rd
@@ -0,0 +1,60 @@
+% Generated by roxygen2: do not edit by hand
+% Please edit documentation in R/joinDT.R
+\name{joinDT}
+\alias{joinDT}
+\title{Join two tables using data.table}
+\usage{
+joinDT(x, y, by, type = c("left", "inner", "right"), suffix = c(".x", ".y"))
+}
+\arguments{
+\item{x, y}{data.frames or data.tables to join.}
+
+\item{by}{Character vector of key column names. Use a named vector, e.g.
+\code{c("SSyear" = "SLyear")}, when the key columns have different names in
+\code{x} (names) and \code{y} (values). Only the \code{x} key columns are kept.}
+
+\item{type}{The type of join: \code{"left"} keeps all rows of \code{x}, \code{"inner"}
+keeps only matching rows and \code{"right"} keeps all rows of \code{y}.}
+
+\item{suffix}{Character vector of length 2 added to the names of non-key
+columns found in both \code{x} and \code{y}. Use \code{""} to keep the names of one
+table unchanged.}
+}
+\value{
+A data.table if \code{x} is a data.table, otherwise a data.frame.
+}
+\description{
+Internal replacement for \code{dplyr::left_join()}, \code{dplyr::inner_join()} and
+\code{dplyr::right_join()}, built on \code{data.table::merge()} with \code{sort = FALSE}.
+The output follows dplyr's conventions:
+\itemize{
+\item rows are returned in the order of \code{x}, each \code{x} row followed by all its
+matching \code{y} rows in the order they appear in \code{y}. A right join appends
+the unmatched \code{y} rows at the end;
+\item columns are the columns of \code{x} followed by the non-key columns of \code{y};
+\item non-key columns found in both tables get \code{suffix} added to their names;
+\item \code{NA} key values match each other and many-to-many matches return all
+combinations;
+\item an integer key joined to a double key gives a double key.
+}
+}
+\details{
+Differences from dplyr: if a suffixed name is already taken, \code{joinDT()}
+gives an error (dplyr adds the suffix again). Other combinations of key
+types follow data.table's join rules (e.g. a factor or logical key keeps the
+type and levels of \code{x}, and joining factor or logical keys to other types
+can give an error).
+
+The input tables are not modified.
+}
+\section{Development review}{
+
+\itemize{
+\item AI-assisted: Yes
+\item Human review: rix133
+\item Notes/scope: Written to remove the dplyr dependency. Tested on
+every join made by the package test suite (~12k joins currently).
+}
+}
+
+\keyword{internal}
diff --git a/man/makeDT.Rd b/man/makeDT.Rd
new file mode 100644
index 0000000..ed09cdd
--- /dev/null
+++ b/man/makeDT.Rd
@@ -0,0 +1,20 @@
+% Generated by roxygen2: do not edit by hand
+% Please edit documentation in R/utils.R
+\name{makeDT}
+\alias{makeDT}
+\title{makeDT}
+\usage{
+makeDT(x)
+}
+\arguments{
+\item{x}{A data.frame, or \code{NULL}.}
+}
+\value{
+A data.table, or \code{NULL} if \code{x} is \code{NULL}.
+}
+\description{
+Converts one element of a list of data.frames into a data.table, leaving
+\code{NULL} elements as \code{NULL}. Used for each RDBES table in
+\code{importRDBESDataDFS()}.
+}
+\keyword{internal}
diff --git a/man/removeBrokenSpeciesListLinks.Rd b/man/removeBrokenSpeciesListLinks.Rd
index 779d589..1e15096 100644
--- a/man/removeBrokenSpeciesListLinks.Rd
+++ b/man/removeBrokenSpeciesListLinks.Rd
@@ -26,6 +26,14 @@ Remove rows which are not pointing to a valid SpecliestListDetails (SL)
 records i.e.those rows which have a value of SpeciesListName that does not
 exist in the SL table.
 }
+\section{Development review}{
+
+\itemize{
+\item AI-assisted: No
+\item Human review: rix133
+}
+}
+
 \examples{
 \dontrun{
 
diff --git a/man/removeBrokenVesselLinks.Rd b/man/removeBrokenVesselLinks.Rd
index e3cc6c5..240ed0b 100644
--- a/man/removeBrokenVesselLinks.Rd
+++ b/man/removeBrokenVesselLinks.Rd
@@ -23,6 +23,14 @@ an RDBESDataObject with any records with an invalid VDid removed
 Remove rows which are not pointing to a valid VesselDetails (VD) records i.e.
 those rows which have a value of VDid that does not exist in the VD table.
 }
+\section{Development review}{
+
+\itemize{
+\item AI-assisted: No
+\item Human review: rix133
+}
+}
+
 \examples{
 \dontrun{
 
diff --git a/man/updateSAwithTaxonFromSL.Rd b/man/updateSAwithTaxonFromSL.Rd
index 34f1542..952246e 100644
--- a/man/updateSAwithTaxonFromSL.Rd
+++ b/man/updateSAwithTaxonFromSL.Rd
@@ -44,6 +44,14 @@ or genus then the function retains the original SA species code.
 function also retains the original SA species code.
 }
 }
+\section{Development review}{
+
+\itemize{
+\item AI-assisted: No
+\item Human review: rix133
+}
+}
+
 \examples{
 \dontrun{
 myObject <- createRDBESDataObject(input = "WGRDBES-EST/personal/Kasia/vignettes/vignetteData")
diff --git a/man/validateRDBESDataObjectDataTypes.Rd b/man/validateRDBESDataObjectDataTypes.Rd
index 2409fab..d7bd41f 100644
--- a/man/validateRDBESDataObjectDataTypes.Rd
+++ b/man/validateRDBESDataObjectDataTypes.Rd
@@ -20,3 +20,11 @@ Checks the data types of the columns in an
 RDBESDataObject against an expected list of data types.  Any differences
 are returned
 }
+\section{Development review}{
+
+\itemize{
+\item AI-assisted: No
+\item Human review: rix133
+}
+}
+
diff --git a/tests/testthat/test-joinDT.R b/tests/testthat/test-joinDT.R
new file mode 100644
index 0000000..e71582b
--- /dev/null
+++ b/tests/testthat/test-joinDT.R
@@ -0,0 +1,195 @@
+capture.output({  ## suppresses printing of console output when running test()
+
+
+# Make a data.frame and a data.table holding the same columns use as
+# x <- makeDFandDT(id = c(3L, 1L, 2L), a = c("x3", "x1", "x2"))
+makeDFandDT <- function(...) {
+  df <- data.frame(...)
+  list(df = df, dt = data.table::as.data.table(df))
+}
+
+
+# AI-assisted: No
+# Human review: rix133
+# Notes/scope: Expected results written by hand from the dplyr join conventions.
+test_that("joinDT left join keeps all x rows in x order with y matches in y order", {
+  x <- makeDFandDT(id = c(3L, 1L, 2L), a = c("x3", "x1", "x2"))
+  y <- makeDFandDT(id = c(1L, 3L, 1L), b = c("y1a", "y3", "y1b"))
+
+  res <- joinDT(x$dt, y$dt, by = "id")
+
+  expected <- data.table::data.table(id = c(3L, 1L, 1L, 2L),
+                                     a = c("x3", "x1", "x1", "x2"),
+                                     b = c("y3", "y1a", "y1b", NA))
+  expect_equal(res, expected)
+
+  # Manual comparison code:
+  # joinDT(x$df, y$df, by = "id")
+  # dplyr::left_join(x$df, y$df, by = "id")
+})
+
+# AI-assisted: No
+# Human review: rix133
+# Notes/scope: Expected results written by hand from the dplyr join conventions.
+test_that("joinDT inner join drops the rows without a match", {
+  x <- makeDFandDT(id = c(3L, 1L, 2L), a = c("x3", "x1", "x2"))
+  y <- makeDFandDT(id = c(1L, 3L, 4L), b = c("y1", "y3", "y4"))
+
+  res <- joinDT(x$dt, y$dt, by = "id", type = "inner")
+
+  expected <- data.table::data.table(id = c(3L, 1L),
+                                     a = c("x3", "x1"),
+                                     b = c("y3", "y1"))
+  expect_equal(res, expected)
+
+  # Manual comparison code:
+  # joinDT(x$df, y$df, by = "id", type = "inner")
+  # dplyr::inner_join(x$df, y$df, by = "id")
+})
+
+# AI-assisted: No
+# Human review: rix133
+# Notes/scope: Expected results written by hand from the dplyr join conventions.
+test_that("joinDT right join appends the unmatched y rows at the end", {
+  x <- makeDFandDT(id = c(1L, 2L, 5L), a = c("x1", "x2", "x5"))
+  y <- makeDFandDT(id = c(4L, 2L, 1L), b = c("y4", "y2", "y1"))
+
+  res <- joinDT(x$dt, y$dt, by = "id", type = "right")
+
+  expected <- data.table::data.table(id = c(1L, 2L, 4L),
+                                     a = c("x1", "x2", NA),
+                                     b = c("y1", "y2", "y4"))
+  expect_equal(res, expected)
+
+  # Manual comparison code:
+  # joinDT(x$df, y$df, by = "id", type = "right")
+  # dplyr::right_join(x$df, y$df, by = "id")
+})
+
+# AI-assisted: Yes
+# Human review: rix133
+# Notes/scope: Expected results written by hand from the dplyr join conventions.
+test_that("joinDT joins on differently named keys and adds suffixes to shared columns", {
+  x <- makeDFandDT(k = c(1L, 2L), v = c("x1", "x2"))
+  y <- makeDFandDT(key = c(2L, 1L), v = c("y2", "y1"))
+
+  res <- joinDT(x$df, y$df, by = c("k" = "key"))
+  expect_false(data.table::is.data.table(res))
+  expect_equal(res, data.frame(k = c(1L, 2L),
+                               v.x = c("x1", "x2"),
+                               v.y = c("y1", "y2")))
+
+  res2 <- joinDT(x$df, y$df, by = c("k" = "key"), suffix = c("", ".y"))
+  expect_equal(names(res2), c("k", "v", "v.y"))
+
+  # Manual comparison code:
+  # joinDT(x$df, y$df, by = c("k" = "key"))
+  # dplyr::left_join(x$df, y$df, by = c("k" = "key"))
+  # joinDT(x$df, y$df, by = c("k" = "key"), suffix = c("", ".y"))
+  # dplyr::left_join(x$df, y$df, by = c("k" = "key"), suffix = c("", ".y"))
+})
+
+# AI-assisted: No
+# Human review: rix133
+# Notes/scope: Expected results written by hand from the dplyr join conventions.
+test_that("joinDT matches NA keys and returns all many-to-many combinations", {
+  x <- makeDFandDT(id = c(NA, 1L, 1L), a = c(1L, 2L, 3L))
+  y <- makeDFandDT(id = c(1L, NA, 1L), b = c(10L, 20L, 30L))
+
+  res <- joinDT(x$dt, y$dt, by = "id", type = "inner")
+
+  expected <- data.table::data.table(id = c(NA, 1L, 1L, 1L, 1L),
+                                     a = c(1L, 2L, 2L, 3L, 3L),
+                                     b = c(20L, 10L, 30L, 10L, 30L))
+  expect_equal(res, expected)
+
+  # Manual comparison code:
+  # joinDT(x$df, y$df, by = "id", type = "inner")
+  # dplyr::inner_join(x$df, y$df, by = "id", relationship = "many-to-many")
+})
+
+# AI-assisted: Yes
+# Human review: rix133
+# Notes/scope: Expected results written by hand from the dplyr join conventions.
+test_that("joinDT uses a common key type and does not modify its inputs", {
+  x <- makeDFandDT(id = c(1L, 2L), a = c("p", "q"))
+  y <- makeDFandDT(id = c(2, 3), b = c("r", "s"))
+  xBefore <- data.table::copy(x$dt)
+  yBefore <- data.table::copy(y$dt)
+
+  res <- joinDT(x$dt, y$dt, by = "id")
+
+  expect_type(res$id, "double")
+  expect_equal(res$b, c(NA, "r"))
+  expect_equal(x$dt, xBefore)
+  expect_equal(y$dt, yBefore)
+
+  # Manual comparison code:
+  # joinDT(x$df, y$df, by = "id")
+  # dplyr::left_join(x$df, y$df, by = "id")
+})
+
+# AI-assisted: Yes
+# Human review: rix133
+# Notes/scope: ids above the integer limit (2147483647) are stored as double by
+#   as.integer.or.dbl(); expected results written by hand.
+test_that("joinDT matches large double ids exactly", {
+  x <- makeDFandDT(id = c(3000000001, 2147483648, 5), a = c("x1", "x2", "x3"))
+  y <- makeDFandDT(id = c(2147483648, 3000000002, 3000000001),
+                   b = c("y2", "yNear", "y1"))
+
+  res <- joinDT(x$dt, y$dt, by = "id")
+
+  expect_identical(res$id, c(3000000001, 2147483648, 5))
+  expect_equal(res$b, c("y1", "y2", NA))
+
+  # Manual comparison code:
+  # joinDT(x$df, y$df, by = "id")
+  # dplyr::left_join(x$df, y$df, by = "id")
+})
+
+# AI-assisted: Yes
+# Human review: rix133
+# Notes/scope: e.g. SA$SAid is double while FM$SAid is integer; expected
+#   results written by hand.
+test_that("joinDT keeps a double key when joining double and integer ids", {
+  # large double x ids must not be turned into integer (they would become NA)
+  x <- makeDFandDT(id = c(3000000001, 5), a = c("x1", "x2"))
+  y <- makeDFandDT(id = c(5L, 6L), b = c("y5", "y6"))
+  res <- joinDT(x$dt, y$dt, by = "id")
+  expect_identical(res$id, c(3000000001, 5))
+  expect_equal(res$b, c(NA, "y5"))
+
+  # small double x ids stay double too
+  x2 <- makeDFandDT(id = c(1, 5), a = c("x1", "x2"))
+  res2 <- joinDT(x2$dt, y$dt, by = "id")
+  expect_identical(res2$id, c(1, 5))
+
+  # unmatched large y ids are kept in a right join
+  res3 <- joinDT(y$dt, x$dt, by = "id", type = "right")
+  expect_identical(res3$id, c(5, 3000000001))
+  expect_equal(res3$b, c("y5", NA))
+
+  # Manual comparison code:
+  # joinDT(x$df, y$df, by = "id")
+  # dplyr::left_join(x$df, y$df, by = "id")
+  # joinDT(x2$df, y$df, by = "id")
+  # dplyr::left_join(x2$df, y$df, by = "id")
+  # joinDT(y$df, x$df, by = "id", type = "right")
+  # dplyr::right_join(y$df, x$df, by = "id")
+})
+
+# AI-assisted: Yes
+# Human review: rix133
+test_that("joinDT gives an error for missing or incompatible key columns", {
+  expect_error(joinDT(data.table::data.table(id = 1L),
+                      data.table::data.table(id = "1"),
+                      by = "id"),
+               "Incompatible join types")
+  expect_error(joinDT(data.table::data.table(id = 1L),
+                      data.table::data.table(other = 1L),
+                      by = "id"),
+               "missing from y")
+})
+
+})
diff --git a/tests/testthat/test-utils.R b/tests/testthat/test-utils.R
index fdf317a..15b8599 100644
--- a/tests/testthat/test-utils.R
+++ b/tests/testthat/test-utils.R
@@ -49,4 +49,37 @@ test_that("as.integer.or.dbl successfully converts columns with large values to
 })
 
 
+# extractHigherFields -----------------------------------------------------
+
+# Small H1 path DE-SD-VS-FT-FO-SS; SS 53 links to FO 42 whose FTid 99 does not exist
+makeH1Path <- function() {
+  list(DE = data.table::data.table(DEid = c(1L, 2L), DEhierarchy = 1L, DEyear = c(2020L, 2021L)),
+       SD = data.table::data.table(SDid = c(10L, 11L), DEid = c(1L, 2L), SDctry = c("EE", "LV")),
+       VS = data.table::data.table(VSid = c(20L, 21L), SDid = c(10L, 11L)),
+       FT = data.table::data.table(FTid = c(30L, 31L), VSid = c(20L, 21L)),
+       FO = data.table::data.table(FOid = c(40L, 41L, 42L), FTid = c(31L, 30L, 99L)),
+       SS = data.table::data.table(SSid = c(50L, 51L, 52L, 53L), FOid = c(41L, 40L, 40L, 42L)))
+}
+
+# AI-assisted: Yes
+# Human review: rix133
+# Notes/scope: Expected values traced by hand through the ids in makeH1Path().
+test_that("extractHigherFields returns one value per SS row and NA for broken links", {
+  obj <- makeH1Path()
+
+  expect_equal(extractHigherFields(obj, "SS", "DEyear"), c(2020L, 2021L, 2021L, NA))
+  expect_equal(extractHigherFields(obj, "SS", "SDctry"), c("EE", "LV", "LV", NA))
+})
+
+# AI-assisted: Yes
+# Human review: rix133
+test_that("extractHigherFields gives an error for duplicated ids or a missing field", {
+  obj <- makeH1Path()
+  expect_error(extractHigherFields(obj, "SS", "XXyear"), "'field' not found")
+
+  obj$FT <- data.table::data.table(FTid = c(30L, 30L), VSid = c(20L, 21L))
+  expect_error(extractHigherFields(obj, "SS", "DEyear"), "Duplicated FTid")
+})
+
+
 }) ## end capture.output
diff --git a/vignettes/v02a-generating-probabilities.Rmd b/vignettes/v02a-generating-probabilities.Rmd
index df991b6..b9e56b4 100644
--- a/vignettes/v02a-generating-probabilities.Rmd
+++ b/vignettes/v02a-generating-probabilities.Rmd
@@ -46,11 +46,11 @@ The functions that generate probabilities do not yet deal with lower hierarchies
 
 ```{r}
 # Temp fixes to change data to lower hierarchy C - function won't deal with A, or B yet
-myH1DataObject[["BV"]] <- dplyr::distinct(myH1DataObject[["BV"]], FMid, .keep_all = TRUE)
-temp <- dplyr::left_join(myH1DataObject[["BV"]][,c("BVid","FMid")], 
-                         myH1DataObject[["FM"]][,c("FMid","SAid")], 
-                         by="FMid")
-myH1DataObject[["BV"]]$SAid <- temp$SAid
+# keep the first BV row of each FMid
+myH1DataObject[["BV"]] <- unique(myH1DataObject[["BV"]], by = "FMid")
+# link BV directly to SA using the SAid of its FM row
+myH1DataObject[["BV"]]$SAid <- myH1DataObject[["FM"]]$SAid[
+  match(myH1DataObject[["BV"]]$FMid, myH1DataObject[["FM"]]$FMid)]
 myH1DataObject[["BV"]]$FMid <- NA
 myH1DataObject[["SA"]]$SAlowHierarchy <- "C"
 myH1DataObject[["BV"]]$BVnumTotal <- 10

From 397637c3a2cacf716e7c1ab2652e2d16af8e8070 Mon Sep 17 00:00:00 2001
From: Richard Meitern <richard.meitern@gmail.com>
Date: Fri, 9 Oct 2026 15:51:00 +0300
Subject: [PATCH 48/87] closes #257 leave the download to seperate icesRDBES
 package

---
 DESCRIPTION                                |   3 +-
 NAMESPACE                                  |   2 -
 R/downloadRDBESDataZip.R                   | 152 ---------------------
 man/downloadRDBESDataZip.Rd                |  42 ------
 tests/testthat/test-downloadRDBESDataZip.R | 129 -----------------
 vignettes/v01a-data-import.Rmd             |  27 +++-
 6 files changed, 27 insertions(+), 328 deletions(-)
 delete mode 100644 R/downloadRDBESDataZip.R
 delete mode 100644 man/downloadRDBESDataZip.Rd
 delete mode 100644 tests/testthat/test-downloadRDBESDataZip.R

diff --git a/DESCRIPTION b/DESCRIPTION
index bfc2b7f..5b830e4 100644
--- a/DESCRIPTION
+++ b/DESCRIPTION
@@ -120,6 +120,5 @@ Suggests:
 Depends:
     R (>= 4.1)
 Imports:
-    data.table,
-    icesRDBES
+    data.table
 VignetteBuilder: knitr
diff --git a/NAMESPACE b/NAMESPACE
index ee2bd41..ba339dc 100644
--- a/NAMESPACE
+++ b/NAMESPACE
@@ -12,7 +12,6 @@ export(createRDBESEstObject)
 export(doBVestimCANUM)
 export(doEstimationForAllStrata)
 export(doEstimationRatio)
-export(downloadRDBESDataZip)
 export(estim)
 export(estimMC)
 export(exportEstimationResultsToInterCatchFormat)
@@ -36,7 +35,6 @@ export(updateSAwithTaxonFromSL)
 export(validateRDBESDataObject)
 export(validateRDBESEstObject)
 import(data.table)
-importFrom(icesRDBES,rdbes_download_data)
 importFrom(stats,formula)
 importFrom(stats,na.omit)
 importFrom(stats,rnorm)
diff --git a/R/downloadRDBESDataZip.R b/R/downloadRDBESDataZip.R
deleted file mode 100644
index 139d22f..0000000
--- a/R/downloadRDBESDataZip.R
+++ /dev/null
@@ -1,152 +0,0 @@
-#' Download RDBES data as a zip file
-#'
-#' Downloads RDBES data through `icesRDBES::rdbes_download_data()`.
-#'
-#' @param datatype One of `"CS"`, `"CL"`, `"CE"`, `"SL"`, or `"VD"`.
-#' @param year Numeric value for year of data to download.
-#' @param country Two-letter country code.
-#' @param hierarchy Optional CS or CL hierarchy, for example `"H8"` or `8`.
-#' @param dir Directory where the zip file is saved.
-#' @param file_name Optional file name to save the downloaded zip file as. The
-#'  `.zip` suffix is added if omitted.
-#' @param verbose Passed to `icesRDBES::rdbes_download_data()`.
-#' @param payload Optional full RDBES download payload. If supplied, `datatype`,
-#'  `year`, `country` and `hierarchy` are ignored.
-#'
-#' @return Logical `TRUE` if the download completed.
-#'
-#' @importFrom icesRDBES rdbes_download_data
-#'
-#' @export
-#'
-downloadRDBESDataZip <- function(datatype = NULL, year = NULL, country = NULL,
-                                 hierarchy = NULL,
-                                 dir = ".",
-                                 file_name = NULL,
-                                 verbose = TRUE,
-                                 payload = NULL) {
-  if (is.null(payload)) {
-    payload <- buildSimpleRDBESDownloadPayload(
-      datatype = datatype,
-      year = year,
-      country = country,
-      hierarchy = hierarchy,
-      export_format = "CsvFilePerTable"
-    )
-  }
-
-  dir.create(dir, recursive = TRUE, showWarnings = FALSE)
-
-  downloaded_file <- rdbes_download_data(
-    payload = payload,
-    dest_dir = dir,
-    production = getOption("rdbes.production", TRUE),
-    verbose = verbose
-  )
-
-  if (is.null(file_name) && !is.null(datatype) && !is.null(year) &&
-      !is.null(country)) {
-    file_name <- paste0(datatype, "_", country, "_", year)
-    if (!is.null(hierarchy)) {
-      file_name <- paste0(file_name, "_", normalizeRDBESHierarchy(hierarchy))
-    }
-  }
-
-  if (!is.null(file_name)) {
-    target_file <- normalizeRDBESZipPath(dir, file_name)
-    moveRDBESDownload(downloaded_file, target_file)
-  }
-
-  TRUE
-}
-
-buildSimpleRDBESDownloadPayload <- function(datatype, year, country, hierarchy,
-                                            export_format) {
-  if (is.null(datatype) || is.null(year) || is.null(country)) {
-    stop("Provide datatype, year, and country, or pass a full payload.")
-  }
-
-  datatype <- toupper(datatype)
-  filter_name <- switch(datatype,
-                        CS = "csFilters",
-                        CL = "clFilters",
-                        CE = "ceFilters",
-                        SL = "slFilters",
-                        VD = "vdFilters",
-                        NULL)
-  if (is.null(filter_name)) {
-    stop("Unsupported RDBES datatype: ", datatype)
-  }
-
-  payload <- list(dataType = datatype, format = export_format)
-
-  if (!is.null(hierarchy)) {
-    payload$hierarchies <- rdbesPayloadValues(
-      normalizeRDBESHierarchy(hierarchy)
-    )
-  } else if (datatype != "CS") {
-    payload$hierarchies <- rdbesPayloadValues(paste0("H", datatype))
-  }
-
-  year_field <- switch(datatype,
-                       CS = "deYear",
-                       CL = "clYear",
-                       CE = "ceYear",
-                       SL = "slYear",
-                       VD = "vdYear")
-  country_field <- switch(datatype,
-                          CS = "sdCountry",
-                          CL = "clVesselFlagCountry",
-                          CE = "ceVesselFlagCountry",
-                          SL = "slCountry",
-                          VD = "vdCountry")
-
-  payload[[filter_name]] <- list()
-  payload[[filter_name]][[year_field]] <- rdbesPayloadValues(year)
-  payload[[filter_name]][[country_field]] <- rdbesPayloadValues(country)
-
-  payload
-}
-
-rdbesPayloadValues <- function(values) {
-  as.list(as.character(values))
-}
-
-normalizeRDBESHierarchy <- function(hierarchy) {
-  hierarchy <- as.character(hierarchy)
-  ifelse(grepl("^H", hierarchy, ignore.case = TRUE),
-         toupper(hierarchy),
-         paste0("H", hierarchy))
-}
-
-normalizeRDBESZipPath <- function(dir, file_name) {
-  if (!grepl("\\.zip$", file_name, ignore.case = TRUE)) {
-    file_name <- paste0(file_name, ".zip")
-  }
-
-  file.path(dir, file_name)
-}
-
-moveRDBESDownload <- function(downloaded_file, target_file) {
-  if (normalizePath(downloaded_file, winslash = "/", mustWork = FALSE) ==
-      normalizePath(target_file, winslash = "/", mustWork = FALSE)) {
-    return(invisible(target_file))
-  }
-
-  if (file.exists(target_file)) {
-    unlink(target_file)
-  }
-
-  ok <- file.rename(downloaded_file, target_file)
-  if (!ok) {
-    ok <- file.copy(downloaded_file, target_file, overwrite = TRUE)
-    if (ok) {
-      unlink(downloaded_file)
-    }
-  }
-  if (!ok) {
-    stop("Could not move downloaded RDBES zip to ", target_file)
-  }
-
-  invisible(target_file)
-}
diff --git a/man/downloadRDBESDataZip.Rd b/man/downloadRDBESDataZip.Rd
deleted file mode 100644
index b6bf3ac..0000000
--- a/man/downloadRDBESDataZip.Rd
+++ /dev/null
@@ -1,42 +0,0 @@
-% Generated by roxygen2: do not edit by hand
-% Please edit documentation in R/downloadRDBESDataZip.R
-\name{downloadRDBESDataZip}
-\alias{downloadRDBESDataZip}
-\title{Download RDBES data as a zip file}
-\usage{
-downloadRDBESDataZip(
-  datatype = NULL,
-  year = NULL,
-  country = NULL,
-  hierarchy = NULL,
-  dir = ".",
-  file_name = NULL,
-  verbose = TRUE,
-  payload = NULL
-)
-}
-\arguments{
-\item{datatype}{One of \code{"CS"}, \code{"CL"}, \code{"CE"}, \code{"SL"}, or \code{"VD"}.}
-
-\item{year}{Numeric value for year of data to download.}
-
-\item{country}{Two-letter country code.}
-
-\item{hierarchy}{Optional CS or CL hierarchy, for example \code{"H8"} or \code{8}.}
-
-\item{dir}{Directory where the zip file is saved.}
-
-\item{file_name}{Optional file name to save the downloaded zip file as. The
-\code{.zip} suffix is added if omitted.}
-
-\item{verbose}{Passed to \code{icesRDBES::rdbes_download_data()}.}
-
-\item{payload}{Optional full RDBES download payload. If supplied, \code{datatype},
-\code{year}, \code{country} and \code{hierarchy} are ignored.}
-}
-\value{
-Logical \code{TRUE} if the download completed.
-}
-\description{
-Downloads RDBES data through \code{icesRDBES::rdbes_download_data()}.
-}
diff --git a/tests/testthat/test-downloadRDBESDataZip.R b/tests/testthat/test-downloadRDBESDataZip.R
deleted file mode 100644
index 4d5af4b..0000000
--- a/tests/testthat/test-downloadRDBESDataZip.R
+++ /dev/null
@@ -1,129 +0,0 @@
-capture.output({
-
-test_that("buildSimpleRDBESDownloadPayload builds CS payloads", {
-  payload <- buildSimpleRDBESDownloadPayload(
-    datatype = "CS",
-    year = 2025,
-    country = "EE",
-    hierarchy = 8,
-    export_format = "CsvFilePerTable"
-  )
-
-  expect_equal(payload$dataType, "CS")
-  expect_equal(payload$format, "CsvFilePerTable")
-  expect_equal(payload$hierarchies, list("H8"))
-  expect_equal(payload$csFilters$deYear, list("2025"))
-  expect_equal(payload$csFilters$sdCountry, list("EE"))
-})
-
-test_that("buildSimpleRDBESDownloadPayload builds CL payloads", {
-  payload <- buildSimpleRDBESDownloadPayload(
-    datatype = "cl",
-    year = "2024",
-    country = "DK",
-    hierarchy = NULL,
-    export_format = "CsvFilePerTable"
-  )
-
-  expect_equal(payload$dataType, "CL")
-  expect_equal(payload$hierarchies, list("HCL"))
-  expect_equal(payload$clFilters$clYear, list("2024"))
-  expect_equal(payload$clFilters$clVesselFlagCountry, list("DK"))
-})
-
-test_that("buildSimpleRDBESDownloadPayload validates required inputs", {
-  expect_error(
-    buildSimpleRDBESDownloadPayload(NULL, 2025, "EE", NULL, "CsvFilePerTable"),
-    "Provide datatype, year, and country"
-  )
-  expect_error(
-    buildSimpleRDBESDownloadPayload("XX", 2025, "EE", NULL, "CsvFilePerTable"),
-    "Unsupported RDBES datatype"
-  )
-})
-
-test_that("helper functions normalize hierarchy and zip paths", {
-  expect_equal(normalizeRDBESHierarchy(8), "H8")
-  expect_equal(normalizeRDBESHierarchy("hcl"), "HCL")
-  expect_equal(normalizeRDBESZipPath("data", "download"), file.path("data", "download.zip"))
-  expect_equal(normalizeRDBESZipPath("data", "download.zip"), file.path("data", "download.zip"))
-})
-
-test_that("moveRDBESDownload moves or renames downloaded files", {
-  tmp <- tempdir()
-  source_file <- tempfile(tmpdir = tmp, fileext = ".zip")
-  target_file <- tempfile(tmpdir = tmp, fileext = ".zip")
-  writeLines("zip placeholder", source_file)
-
-  moveRDBESDownload(source_file, target_file)
-
-  expect_false(file.exists(source_file))
-  expect_true(file.exists(target_file))
-  expect_equal(readLines(target_file), "zip placeholder")
-})
-
-test_that("downloadRDBESDataZip delegates to rdbes_download_data", {
-  downloaded_file <- tempfile(fileext = ".zip")
-  calls <- list()
-  local_mocked_bindings(
-    rdbes_download_data = function(payload, dest_dir, production, verbose) {
-      calls[[1]] <<- list(
-        payload = payload,
-        dest_dir = dest_dir,
-        production = production,
-        verbose = verbose
-      )
-      writeLines("downloaded", downloaded_file)
-      downloaded_file
-    }
-  )
-
-  target_dir <- tempfile()
-  result <- downloadRDBESDataZip(
-    datatype = "CL",
-    year = 2025,
-    country = "EE",
-    dir = target_dir,
-    file_name = "custom_name",
-    verbose = FALSE
-  )
-
-  expect_true(result)
-  expect_equal(calls[[1]]$payload$dataType, "CL")
-  expect_equal(calls[[1]]$payload$format, "CsvFilePerTable")
-  expect_equal(calls[[1]]$dest_dir, target_dir)
-  expect_false(calls[[1]]$verbose)
-  expect_true(file.exists(file.path(target_dir, "custom_name.zip")))
-})
-
-test_that("downloadRDBESDataZip accepts a full payload", {
-  downloaded_file <- tempfile(fileext = ".zip")
-  custom_payload <- list(
-    dataType = "CS",
-    format = "CsvFilePerTable",
-    hierarchies = list("H8"),
-    csFilters = list(deYear = list("2025"), sdCountry = list("EE"))
-  )
-  calls <- list()
-  local_mocked_bindings(
-    rdbes_download_data = function(payload, dest_dir, production, verbose) {
-      calls[[1]] <<- payload
-      writeLines("downloaded", downloaded_file)
-      downloaded_file
-    }
-  )
-
-  target_dir <- tempfile()
-  result <- downloadRDBESDataZip(
-    payload = custom_payload,
-    dir = target_dir,
-    file_name = "payload_name",
-    verbose = FALSE
-  )
-
-  expect_true(result)
-  expect_equal(calls[[1]], custom_payload)
-  expect_true(file.exists(file.path(target_dir, "payload_name.zip")))
-})
-
-})
diff --git a/vignettes/v01a-data-import.Rmd b/vignettes/v01a-data-import.Rmd
index 2e64454..5d1d204 100644
--- a/vignettes/v01a-data-import.Rmd
+++ b/vignettes/v01a-data-import.Rmd
@@ -31,13 +31,38 @@ library(RDBEScore)
 dataDir <- "./yourDataDirectory/"
 
 #for demonstration purposes we will use the example data included in the package
+#for downloading actual data see the section below
 dataDir <- paste0(system.file("extdata", package = "RDBEScore"), "/")
 ```
 
 
+
+## Downloading data from the RDBES
+
+The data can be downloaded from the [RDBES web site](https://rdbes.ices.dk/#/), or from R with the [icesRDBES](https://ices-tools-prod.r-universe.dev/icesRDBES) package. icesRDBES is not on CRAN; install it from the ICES repository:
+
+```{r, eval = FALSE}
+install.packages("icesRDBES",
+                 repos = c("https://ices-tools-prod.r-universe.dev",
+                           "https://cloud.r-project.org"))
+```
+
+The download needs access to the RDBES see the [icesRDBES](https://ices-tools-prod.r-universe.dev/icesRDBES/) documentation.  For example, the CS data of hierarchy 1 for the test country ZW in 1965, as a `.zip` file with one `.csv` file per table:
+
+```{r, eval = FALSE}
+payload <- list(dataType = "CS",
+                format = "CsvFilePerTable",
+                hierarchies = list("H1"),
+                csFilters = list(deYear = list("1965"),
+                                 sdCountry = list("ZW")))
+zipFile <- icesRDBES::rdbes_download_data(payload, dest_dir = dataDir)
+```
+
+After downloading, the file can be imported as shown below.
+
 ## Importing zipped files
 
-It can directly import the `.zip` archive from the RDBES download containing all mandatory hierarchy tables plus VD and SL:
+RDBEScore package can directly import the `.zip` archive from the offial RDBES download containing all mandatory hierarchy tables plus VD and SL:
 
 ```{r}
 importedH1 <- createRDBESDataObject(input = paste0(dataDir,"H1_Example.zip"))

From b959256dd19441cbac87bdd049c43ee91efcac70 Mon Sep 17 00:00:00 2001
From: Richard Meitern <rix133@users.noreply.github.com>
Date: Mon, 12 Oct 2026 18:29:47 +0300
Subject: [PATCH 49/87] Revise contribution guidelines and AI tool usage

Updated guidelines for contributions and AI tool usage, emphasizing the importance of handling confidential data carefully. Clarified documentation requirements for AI involvement and human review.
---
 README.md | 13 ++++++++-----
 1 file changed, 8 insertions(+), 5 deletions(-)

diff --git a/README.md b/README.md
index de711c6..97dc1a7 100644
--- a/README.md
+++ b/README.md
@@ -97,13 +97,16 @@ install_github("ices-tools-dev/RDBEScore@dev", build = FALSE)
 
 ## How to Start developing
 
-Contributions and the use of AI coding tools are tolerated, but all code must be tested and checked by humans to maintain the reliability of the package.
+Contributions are welcome and the use of AI coding tools are premitted, but all code must be tested and checked by humans to maintain the reliability of the package. Confidential information should never be commited. 
+
+> [!WARNING]
+> Working with RDBES data is working with confidential data that is subjected to a data policy that aims to prevent unintended misuse or leakage of information by individual users, and keep trust in the RDBES system. Because of that, RDBES data should be handled with special care (e.g., never be commited to github or AI services) and development should be done, to the extent possible, using synthetic or public data.
 
 ### 1. Getting started
 
 Install a recent version of R (4.1 or newer), preferably with RStudio, and the packages `remotes`, `devtools`, `roxygen2` and `testthat`.
 
-Use **camelCase** for new function names to match the existing package style. Two useful examples are [createRDBESDataObject](https://github.com/ices-tools-dev/RDBEScore/blob/dev/R/createRDBESDataObject.R) and the simpler [getTablesInRDBESHierarchy](https://github.com/ices-tools-dev/RDBEScore/blob/dev/R/getTablesInRDBESHierarchy.R).
+Use **camelCase** for new function names to match the existing package style. See the package style guide for more details [style guide](https://github.com/ices-tools-dev/RDBEScore/blob/main/WGRDBES-EST/newbies_guide/StyleGuide_WKRDB-EST_Annex8.pdf). Two useful examples are [createRDBESDataObject](https://github.com/ices-tools-dev/RDBEScore/blob/dev/R/createRDBESDataObject.R) and the simpler [getTablesInRDBESHierarchy](https://github.com/ices-tools-dev/RDBEScore/blob/dev/R/getTablesInRDBESHierarchy.R).
 
 The main package directories are:
 
@@ -116,9 +119,9 @@ The main package directories are:
 
 ### 2. Development workflow
 
-1. **Create or claim a GitHub issue.** Describe what needs to be added or changed, including the expected behaviour. Assign yourself to the issue so others know you are working on it.
+1. **Create or claim a GitHub issue.** Describe what needs to be added or changed, including the expected behaviour. Assign yourself to the issue when you start working on it so others know.
 
-2. **Start from the latest `dev` branch.** Work directly on `dev` or create your own development branch based on it. The `main` branch is protected and only accepts changes through pull requests.
+2. **Start from the latest `dev` branch.** Work directly on `dev` if you can ensure that you never commit code that has failing tests. If you are unsure you can always create your own development branch based on `dev` and work there. Wherever you work remember to pull frequently so your code does not deviate too far from others. The `main` branch is protected and only accepts changes through pull requests.
 
 3. **Write or modify the code and tests.** You can do this manually or with AI coding tools. New functions should include roxygen2 documentation and appropriate tests. Add or update examples and vignettes when relevant. Aim to keep changes related to one issue together.
 
@@ -140,7 +143,7 @@ The main package directories are:
 
 ### 3. AI-assisted development and human review
 
-Starting with version 0.3.5, contributors are allowed to use AI coding tools to accelerate development. However, all contributors remain responsible for understanding and verifying their code, regardless of whether it was written manually or generated with AI.
+Starting with version 0.3.5, contributors are permitted to use AI coding tools to accelerate development. However, all contributors remain responsible for understanding and verifying their code, regardless of whether it was written manually or generated with AI. If you posess confidential RDBES data using installed AI products (e.g. VScode, Codex, Claude Code, PositAI, browser add-ons etc)  is not allowed.  Browser-based AI may be used as long as their permissions have been checked and confidential information is not submitted to them.
 
 Every **new or substantially modified** function and test must document **AI involvement** and **human review**.
 

From 7a44388a225923bc34e715e7bbe151755e659e2f Mon Sep 17 00:00:00 2001
From: Richard Meitern <rix133@users.noreply.github.com>
Date: Tue, 13 Oct 2026 11:13:29 +0300
Subject: [PATCH 50/87] Fix typos and update AI guidelines in README

Corrected typos and clarified guidelines regarding AI-assisted development and data confidentiality in the README.
---
 README.md | 53 +++++++++++++++++++++++++++--------------------------
 1 file changed, 27 insertions(+), 26 deletions(-)

diff --git a/README.md b/README.md
index 97dc1a7..0bc1cb2 100644
--- a/README.md
+++ b/README.md
@@ -32,7 +32,7 @@ install.packages("RDBEScore")
 ```
 -->
 
-The most recent production version of the package can be installed from ICES tools (production). Theese are 
+The most recent production version of the package can be installed from ICES tools (production). These are 
 tools that are operational and maintained by the ICES Secretariat.
 
 ```R
@@ -52,7 +52,7 @@ install_github("ices-tools-dev/RDBEScore", build_vignettes = TRUE)
 Usage
 -----
 
-For a summary of the package see the following [Vignettes]():
+For a summary of the package see the following [Vignettes](https://ices-tools-dev.github.io/RDBEScore/):
 
 ```R
 browseVignettes(package = "RDBEScore")
@@ -100,7 +100,7 @@ install_github("ices-tools-dev/RDBEScore@dev", build = FALSE)
 Contributions are welcome and the use of AI coding tools are premitted, but all code must be tested and checked by humans to maintain the reliability of the package. Confidential information should never be commited. 
 
 > [!WARNING]
-> Working with RDBES data is working with confidential data that is subjected to a data policy that aims to prevent unintended misuse or leakage of information by individual users, and keep trust in the RDBES system. Because of that, RDBES data should be handled with special care (e.g., never be commited to github or AI services) and development should be done, to the extent possible, using synthetic or public data.
+> Working with RDBES data is working with confidential data that is subjected to a data policy that aims to prevent unintended misuse or leakage of information by individual users, and keep trust in the RDBES system. Because of that, RDBES data should be handled with special care (e.g., never be commited to github or AI services without explicit permission from the data owner) and development should be done, to the extent possible, using synthetic or public data.
 
 ### 1. Getting started
 
@@ -143,9 +143,9 @@ The main package directories are:
 
 ### 3. AI-assisted development and human review
 
-Starting with version 0.3.5, contributors are permitted to use AI coding tools to accelerate development. However, all contributors remain responsible for understanding and verifying their code, regardless of whether it was written manually or generated with AI. If you posess confidential RDBES data using installed AI products (e.g. VScode, Codex, Claude Code, PositAI, browser add-ons etc)  is not allowed.  Browser-based AI may be used as long as their permissions have been checked and confidential information is not submitted to them.
+Starting with version 0.3.5, contributors are permitted to use AI coding tools to accelerate development. However, all contributors remain responsible for understanding and verifying their code, regardless of whether it was written manually or generated with AI. If you posess confidential RDBES data using installed AI products (e.g. VScode, Codex, Claude Code, PositAI, browser add-ons etc) is  only allowed if you have explicit permission from the data owner.  Browser-based AI may also be used as long as tools permissions have been checked and confidential information or data is not submitted to them.
 
-Every **new or substantially modified** function and test must document **AI involvement** and **human review**.
+Every **new or substantially modified** function and test must document **AI involvement**.
 
 **Function documentation**
 
@@ -154,34 +154,36 @@ Include a `Development review` section in the function's roxygen2 documentation
 ```r
 #' @section Development review:
 #' - AI-assisted: Yes
-#' - Human review: janesmith
+#' - Review: janesmith
 #' - Notes/scope: Tested with hierarchy H5 using
 #'   2025 RDBES data (downloaded 2026-10-14).
 ```
+Notes should be added if no formal testing was made (e.g. downloading confidential data and checking how a function works on this data without writing tests). 
 
 **Test documentation**
 
-Add the same information as comments immediately before **each `test_that()` block**, rather than only at the beginning of the test file. Different tests may have different authors, reviewers or levels of verification.
+We expect that all tests are human reviewed. Add the same information as comments immediately in the beginning of a test file as you do with code.
 
 ```r
 # AI-assisted: Yes
-# Human review: janesmith
-# Notes/scope: Expected results checked manually.
-test_that("function returns correct values", {
-  expect_equal(myFunction(2), 4)
-})
-
-# AI-assisted: No
-# Human review: janesmith, johnbrown
-test_that("function handles missing values", {
-  expect_true(is.na(myFunction(NA)))
+# Review: janesmith
+# Notes/scope: Tested with hierarchy H5 using
+# 2025 RDBES data (downloaded 2026-10-14).
+capture.output({  ## suppresses printing of console output when running test()
+   test_that("function returns correct values", {
+     expect_equal(myFunction(2), 4)
+   })
+   
+   test_that("function handles missing values", {
+     expect_true(is.na(myFunction(NA)))
+   })
 })
 ```
 
 **Meaning of the fields**
 
 - **AI-assisted:** `Yes` if AI tools were used to generate or substantially modify the current code or test, otherwise `No`. Routine autocomplete or minor wording corrections do not need to be reported.
-- **Human review:** Github usernames of people who have checked and accepted the current implementation or test. The original contributor records one approval after checking their own work. Each additional reviewer who approves the current version is added.
+- **Review:** Github usernames of people who have checked and accepted the current implementation or test. The original contributor records one approval after checking their own work. Each additional reviewer who approves the current version is added.
 - **Notes/scope (optional):** Briefly describe what has been verified, for example specific RDBES sampling hierarchies, datasets, reference calculations, or known limitations. Include data versions or dates when relevant.
 
 **Updating review**
@@ -189,24 +191,23 @@ test_that("function handles missing values", {
 When another person reviews the code or test and approves it without changes, add their username:
 
 ```r
-# Human review: janesmith, johnbrown
+# Review: janesmith, johnbrown
 ```
 
-If a reviewer substantially modifies the code, previous review are no longer assumed to apply. The person making the changes checks the modified version and updates the approval record:
+If a reviewer wants to modify the code substantially they are expected to raise an issue to inform others about it. Previous reviewers should be assigned to that issue and informed about the new issue. 
 
-```r
-# Human review: johnbrown
-```
+Review for functions and tests are maintained separately. A change to one does not automatically invalidate approval of the other, unless its correctness is affected.
 
-review for functions and tests are maintained separately. A change to one does not automatically invalidate approval of the other, unless its correctness is affected.
+**Major changes**
+Major changes (Sensu changes to multiple functions, that take time to review) should only be done after a plenary discussion. To the extent possible the previous reviewers are informed ahead of those changes and allowed enough time to form an opinion.
 
 **Testing and scientific reliability**
 
-All new or modified functionality should have appropriate tests. Expected test results must be independently established or checked by a human, rather than relying solely on AI-generated expectations. Where possible, statistical estimation functions should be tested against manually calculated results, published examples or independently verified reference implementations.
+All new or modified functionality should have appropriate tests. Expected test results must be independently established or checked rather than relying solely on AI-generated expectations. Where possible, statistical estimation functions should be tested against manually calculated results, published examples or independently verified reference implementations.
 
 Additional independent human review is particularly encouraged for statistical estimation functions and scientifically important data transformations. The number of human review indicates the extent of documented human review, but does not by itself guarantee scientific correctness. The optional `Notes/scope` field can clarify what has actually been verified.
 
-Existing functions and tests do not need to be retrospectively classified unless they are substantially modified.
+Existing functions and tests do not need to be retrospectively classified unless they are modified.
 
 ### 4. Releasing reviewed changes to `main`
 

From b2e0f7e51a5f79162907125e0725f16179f5c732 Mon Sep 17 00:00:00 2001
From: nmprista <31890653+nmprista@users.noreply.github.com>
Date: Tue, 13 Oct 2026 10:40:30 +0200
Subject: [PATCH 51/87] Update README.md

fixed typo
---
 README.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/README.md b/README.md
index 0bc1cb2..3674edf 100644
--- a/README.md
+++ b/README.md
@@ -213,7 +213,7 @@ Existing functions and tests do not need to be retrospectively classified unless
 
 The `dev` branch may contain functions that are still being developed, tested or reviewed. **Only changes considered ready for release should be transferred to `main`.**
 
-We aim at 2 releases a year (autumn and spring) and an online meeting will be scheduled to a approve the pull request to the main
+We aim at 2 releases a year (autumn and spring) and an online meeting will be scheduled to approve the pull request to the main.
 
 When preparing a release a subset of the package contributors will:
 

From 79db61425b8d93d619e07e6e5f8380efc411dddd Mon Sep 17 00:00:00 2001
From: Richard Meitern <rix133@users.noreply.github.com>
Date: Tue, 13 Oct 2026 11:59:53 +0300
Subject: [PATCH 52/87] Update NEWS.md for RDBEScore 0.4.0 release

Updated package README with AI usage guidelines and removed dplyr dependency.
---
 NEWS.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/NEWS.md b/NEWS.md
index fd73038..c3d3cb8 100644
--- a/NEWS.md
+++ b/NEWS.md
@@ -1,5 +1,5 @@
 # RDBEScore 0.4.0
-
+- Package README updated with AI usage guidelines
 - Dependencies: removed `dplyr` from Imports. Joins now use the internal `data.table` helper `joinDT()`, which keeps dplyr's row order, column order and `.x`/`.y` suffixes, so results are unchanged; `filterRDBESEstObject()` and the vignette use base R/`data.table` instead of dplyr.
 - Bug fix: addressed [#259](https://github.com/ices-tools-dev/RDBEScore/issues/259) selecting multiple strata with `addCLtoLowerCS()`
 

From 35dc2522d29b36b72f85330902dd186756dc72f7 Mon Sep 17 00:00:00 2001
From: Richard Meitern <richard.meitern@ut.ee>
Date: Tue, 13 Oct 2026 12:17:59 +0300
Subject: [PATCH 53/87] added long integer allowence #266

---
 R/importRDBESDataCSV.R                   | 13 +++++++++++--
 tests/testthat/bigid/SamplingDetails.csv |  9 +++++++++
 tests/testthat/test-importRDBESDataCSV.R | 16 +++++++++++-----
 3 files changed, 31 insertions(+), 7 deletions(-)
 create mode 100644 tests/testthat/bigid/SamplingDetails.csv

diff --git a/R/importRDBESDataCSV.R b/R/importRDBESDataCSV.R
index 9ae3e11..c333daa 100644
--- a/R/importRDBESDataCSV.R
+++ b/R/importRDBESDataCSV.R
@@ -23,13 +23,18 @@
 #' it will contain the data from those files.  If no path is supplied then
 #' an empty RDBESDataObject will be returned.
 #'
+#' @section Development review:
+#' - AI-assisted: No
+#' - Review: rix133
+#' - Notes/scope: Added tests dealing with over integer limit
+#'
 #' @examples
 #' \dontrun{
 #' myEmptyRDBESObject <- importRDBESDataCSV()
 #' rdbesExtractPath <- "./tests/testthat/h7_v_1_19_18/"
 #' obj <- importRDBESDataCSV(rdbesExtractPath)
 #' }
-
+#'
 importRDBESDataCSV <- function(rdbesExtractPath = NULL,
                                listOfFileNames = NULL,
                                castToCorrectDataTypes = TRUE,
@@ -82,6 +87,10 @@ importRDBESDataCSV <- function(rdbesExtractPath = NULL,
         fieldsFormat <- RDBEScore::mapColNamesFieldR[
           RDBEScore::mapColNamesFieldR$Table.Prefix == myFile, "RDataType"]
 
+        #to account for the possible long numeric fields in all integer fields
+        #because the id numbers may get wery long at one point
+        fieldsFormat <- ifelse(fieldsFormat == "integer", "numeric", fieldsFormat)
+
         # Read the file with error handling so we can raise a clear message
         filePath <- paste(rdbesExtractPath, "/", fileNames[myFile],  sep = "")
         csvBaseName <- sub("\\.csv$", "", fileNames[myFile])
@@ -93,7 +102,7 @@ importRDBESDataCSV <- function(rdbesExtractPath = NULL,
             quote = "",
             stringsAsFactors = FALSE,
             colClasses = fieldsFormat
-          ),
+            ),
           silent = TRUE
         )
 
diff --git a/tests/testthat/bigid/SamplingDetails.csv b/tests/testthat/bigid/SamplingDetails.csv
new file mode 100644
index 0000000..4b05906
--- /dev/null
+++ b/tests/testthat/bigid/SamplingDetails.csv
@@ -0,0 +1,9 @@
+SDid,DEid,SDrecordType,SDcountry,SDinstitution
+3000415656,5351,SD,ZW,4484
+5425,5393,SD,ZW,4484
+5434,5402,SD,ZW,4484
+5435,5403,SD,ZW,4484
+5436,5404,SD,ZW,4484
+5438,5406,SD,ZW,1051
+5439,5407,SD,ZW,1051
+5440,5408,SD,ZW,1051
diff --git a/tests/testthat/test-importRDBESDataCSV.R b/tests/testthat/test-importRDBESDataCSV.R
index d3b6ea4..658c8e3 100644
--- a/tests/testthat/test-importRDBESDataCSV.R
+++ b/tests/testthat/test-importRDBESDataCSV.R
@@ -1,8 +1,7 @@
+# AI-assisted: No
+# Review: rix133
 capture.output({  ## suppresses printing of console output when running test()
 
-
-
-
   # common parameters
   # H1 directory
   dirH1 <- "./h1_v_20250211/"
@@ -81,8 +80,15 @@ capture.output({  ## suppresses printing of console output when running test()
     file.remove(tempBVfNname)
     expect_equal(BV$BVfishId[1],id)
   })
-
-
+test_that("Importing a CSV folder with an id above 2,147,483,647 works",{
+  expect_error(importRDBESDataCSV(rdbesExtractPath = "./bigid"), NA)
+})
+
+test_that("id columns without large values are still integers and with are doubles",{
+  res <- importRDBESDataCSV(rdbesExtractPath = "./bigid")
+  expect_true(is.double(res$SD$SDid))
+  expect_true(is.integer(res$SD$DEid))
+})
 
 
 }) ## end capture.output

From abef3b71731b1fd3de0392d5c3ad58bd73cb2f86 Mon Sep 17 00:00:00 2001
From: Richard Meitern <richard.meitern@ut.ee>
Date: Tue, 13 Oct 2026 13:13:31 +0300
Subject: [PATCH 54/87] update roxygen version

---
 DESCRIPTION |  2 +-
 NAMESPACE   | 18 +++++++++++-------
 2 files changed, 12 insertions(+), 8 deletions(-)

diff --git a/DESCRIPTION b/DESCRIPTION
index 5b830e4..9206251 100644
--- a/DESCRIPTION
+++ b/DESCRIPTION
@@ -111,7 +111,6 @@ URL: https://github.com/ices-tools-dev/RDBEScore, https://rdbes.ices.dk, https:/
 License: GPL-3 + file LICENSE
 Encoding: UTF-8
 LazyData: true
-RoxygenNote: 7.3.3
 Roxygen: list(markdown = TRUE)
 Suggests:
     knitr,
@@ -122,3 +121,4 @@ Depends:
 Imports:
     data.table
 VignetteBuilder: knitr
+Config/roxygen2/version: 8.1.1
diff --git a/NAMESPACE b/NAMESPACE
index ba339dc..d92cd12 100644
--- a/NAMESPACE
+++ b/NAMESPACE
@@ -35,10 +35,14 @@ export(updateSAwithTaxonFromSL)
 export(validateRDBESDataObject)
 export(validateRDBESEstObject)
 import(data.table)
-importFrom(stats,formula)
-importFrom(stats,na.omit)
-importFrom(stats,rnorm)
-importFrom(stats,setNames)
-importFrom(utils,file_test)
-importFrom(utils,packageDescription)
-importFrom(utils,tail)
+importFrom(stats,
+  formula,
+  na.omit,
+  rnorm,
+  setNames
+)
+importFrom(utils,
+  file_test,
+  packageDescription,
+  tail
+)

From 0a33042a5180896a2fc3e88c00866007fce85583 Mon Sep 17 00:00:00 2001
From: Richard Meitern <richard.meitern@ut.ee>
Date: Tue, 13 Oct 2026 13:14:04 +0300
Subject: [PATCH 55/87] #266 documentation change

---
 man/generateTestTbls.Rd   |  2 +-
 man/importRDBESDataCSV.Rd | 10 ++++++++++
 2 files changed, 11 insertions(+), 1 deletion(-)

diff --git a/man/generateTestTbls.Rd b/man/generateTestTbls.Rd
index 1b28512..bda251f 100644
--- a/man/generateTestTbls.Rd
+++ b/man/generateTestTbls.Rd
@@ -13,7 +13,7 @@ generateTestTbls(tblNames, prevTbls = list(), ...)
 Defaults to empty list}
 
 \item{...}{
-  Arguments passed on to \code{\link[=makeTbl]{makeTbl}}
+  Arguments passed on to \code{\link{makeTbl}}
   \describe{
     \item{\code{tblName}}{Name of the table}
     \item{\code{rows}}{numeric number of rows per parent record. Defaults to 4.}
diff --git a/man/importRDBESDataCSV.Rd b/man/importRDBESDataCSV.Rd
index 9d564a4..55bdfad 100644
--- a/man/importRDBESDataCSV.Rd
+++ b/man/importRDBESDataCSV.Rd
@@ -36,11 +36,21 @@ an empty RDBESDataObject will be returned.
 Create an R object from a folder containing .csv data files downloaded from
 the RDBES upload/download page.
 }
+\section{Development review}{
+
+\itemize{
+\item AI-assisted: No
+\item Review: rix133
+\item Notes/scope: Added tests dealing with over integer limit
+}
+}
+
 \examples{
 \dontrun{
 myEmptyRDBESObject <- importRDBESDataCSV()
 rdbesExtractPath <- "./tests/testthat/h7_v_1_19_18/"
 obj <- importRDBESDataCSV(rdbesExtractPath)
 }
+
 }
 \keyword{internal}

From f6dfbce8d70fab3e85aaa153d3a44e8507d93ad0 Mon Sep 17 00:00:00 2001
From: Richard Meitern <richard.meitern@ut.ee>
Date: Tue, 13 Oct 2026 15:30:45 +0300
Subject: [PATCH 56/87] #255 now checks for hierarchy compliance

---
 R/getLinkedDataFromLevel.R                   | 34 +++++++++++++++-
 man/getLinkedDataFromLevel.Rd                |  8 ++++
 tests/testthat/test-getLinkedDataFromLevel.R | 41 +++++++++++++++++++-
 3 files changed, 80 insertions(+), 3 deletions(-)

diff --git a/R/getLinkedDataFromLevel.R b/R/getLinkedDataFromLevel.R
index 0926371..c9afa17 100644
--- a/R/getLinkedDataFromLevel.R
+++ b/R/getLinkedDataFromLevel.R
@@ -26,11 +26,15 @@
 #' # Retrieve data from the VS level based on BVfishId from the BV table
 #' getLinkedDataFromLevel("BVfishId", c("410472143", "410472144"), H8ExampleEE1, "VS", TRUE)
 #' }
+#' @section Development review:
+#' - AI-assisted: No
+#' - Review: rix133
 #' @export
 getLinkedDataFromLevel <- function(field, values, rdbesTables, level, verbose = FALSE){
 
   # Check if rdbesTables is of class "RDBESDataObject"
   if(inherits(rdbesTables, "RDBESDataObject")) {
+    availableTblNames <- names(rdbesTables)
     rdbesTables <- sort(rdbesTables)
   } else {
     stop("rdbesTables must be of class RDBESDataObject")
@@ -44,8 +48,34 @@ getLinkedDataFromLevel <- function(field, values, rdbesTables, level, verbose =
   # Extract the source table abbreviation from the field name
   sourceTbl <- substr(field, 1, 2)
 
-  # Get the list of table names
-  tblNames <- names(rdbesTables)
+  #get the hierarchy of the source table
+  summary_values <- summary(rdbesTables)
+  hierarchy <- NA
+  if(!is.null(summary_values$hierarchy)){
+    if(length(summary_values$hierarchy)>1){
+      stop("Mixed hierarchy RDBESDataObject!", call.=FALSE)
+    }
+    hierarchy <- summary_values$hierarchy
+  } else {
+    stop(paste0("No hierarchy, RDBESdataObject:\n "))
+  }
+
+  # Get the list of table names with optional if needed
+  tblNames <- getTablesInRDBESHierarchy(hierarchy)
+  requiredTblNames <- getTablesInRDBESHierarchy(
+    hierarchy,
+    includeOptTables = FALSE
+  )
+
+  keepTblNames <- c(requiredTblNames, sourceTbl, level)
+  tblNames <- tblNames[tblNames %in% keepTblNames]
+
+  #stop if tables in the data are missing required tables
+  missingTbls <- requiredTblNames[!requiredTblNames %in% availableTblNames]
+  if(length(missingTbls) > 0){
+    stop(paste0("Missing required tables in the RDBESDataObject: ",
+                paste(missingTbls, collapse = ", ")))
+  }
 
   # Determine the positions of sourceTbl and target level in the table list
   sourcePos <- which(tblNames == sourceTbl)
diff --git a/man/getLinkedDataFromLevel.Rd b/man/getLinkedDataFromLevel.Rd
index 45f627a..43f90c6 100644
--- a/man/getLinkedDataFromLevel.Rd
+++ b/man/getLinkedDataFromLevel.Rd
@@ -23,6 +23,14 @@ The subset of the table at the specified \code{level}.
 \description{
 The \code{getLinkedDataFromLevel} function facilitates the retrieval of linked data between different levels of RDBES tables. Depending on the relative positions of the source and target tables within the \code{RDBESDataObject}, the function determines whether to traverse "up" or "down" the data hierarchy to obtain the desired linked data.
 }
+\section{Development review}{
+
+\itemize{
+\item AI-assisted: No
+\item Review: rix133
+}
+}
+
 \examples{
 \dontrun{
 # Example 1: Going up in the table hierarchy to retrieve data from the DE table
diff --git a/tests/testthat/test-getLinkedDataFromLevel.R b/tests/testthat/test-getLinkedDataFromLevel.R
index 2413bfd..56cc3d0 100644
--- a/tests/testthat/test-getLinkedDataFromLevel.R
+++ b/tests/testthat/test-getLinkedDataFromLevel.R
@@ -1,3 +1,6 @@
+# AI-assisted: Yes
+# Review: rix133
+capture.output({  ## suppresses printing of console output when running test()
 
 # Test for Example 1: Going up in the table hierarchy to retrieve data from the DE table
 test_that("Retrieve data from DE based on BVid", {
@@ -37,6 +40,28 @@ test_that("Retrieve data from VS based on BVfishId", {
 
 })
 
+test_that("optional source tables can be linked to required tables", {
+  result <- getLinkedDataFromLevel(
+    "FTid",
+    H5Example$FT$FTid[1],
+    H5Example,
+    "DE"
+  )
+
+  expect_s3_class(result, "data.table")
+  expect_equal(nrow(result), 1)
+})
+
+test_that("error when a required table is missing", {
+  h5 <- data.table::copy(H5Example)
+  h5[["SD"]] <- NULL
+
+  expect_error(
+    getLinkedDataFromLevel("DEid", c(1), h5, "BV"),
+    "Missing required tables in the RDBESDataObject: SD"
+  )
+})
+
 test_that("Error when rdbesTables is not of class RDBESDataObject", {
   # Pass an invalid class (e.g., a list) instead of RDBESDataObject
   invalid_rdbesTables <- list()
@@ -56,6 +81,20 @@ test_that("Error when level is not found in rdbesTables", {
   )
 })
 
+test_that("Error when mixed hierarchy in rdbesTables", {
+  obj <- data.table::copy(H8ExampleEE1)
+  # Add a DE row from a different hierarchy
+  obj[["DE"]] <- rbind(obj[["DE"]], H1Example[["DE"]][1])
+
+
+  expect_error(
+    suppressWarnings(
+      getLinkedDataFromLevel("BVid", c(1), obj, "TE")
+    ),
+    "Mixed hierarchy RDBESDataObject!"
+  )
+})
+
 test_that("Retrieve data from VS based on BVfishId if There is an empty intermedate FM table", {
   h8 <- H8ExampleEE1
 
@@ -79,7 +118,7 @@ test_that("Retrieve data from VS based on BVfishId if There is an empty intermed
   expect_equal(nrow(res2), 3995)
 })
 
-
+})
 
 
 

From 4bbed66cd2a7bc1dc8d3a1088c30902cd837def0 Mon Sep 17 00:00:00 2001
From: nmprista <31890653+nmprista@users.noreply.github.com>
Date: Tue, 13 Oct 2026 14:50:32 +0200
Subject: [PATCH 57/87] utility function that detects use of non-exported
 function in examples related to #267

---
 R/detectNonExportedExamples.R                 | 377 ++++++++++++++++++
 .../testthat/test-detectNonExportedExamples.R |  62 +++
 ...erating-zeros-for-species-not-observed.Rmd |   5 +-
 3 files changed, 441 insertions(+), 3 deletions(-)
 create mode 100644 R/detectNonExportedExamples.R
 create mode 100644 tests/testthat/test-detectNonExportedExamples.R

diff --git a/R/detectNonExportedExamples.R b/R/detectNonExportedExamples.R
new file mode 100644
index 0000000..3a36ed4
--- /dev/null
+++ b/R/detectNonExportedExamples.R
@@ -0,0 +1,377 @@
+#' Detect Non-Exported Functions Used in Package Examples
+#'
+#' Scans the \file{man/} directory of an R package and identifies calls to
+#' non-exported functions in the examples sections of its Rd documentation.
+#' Function definitions are collected from the package's \file{R/} directory,
+#' and exported function names are read from the package's
+#' \file{NAMESPACE} file.
+#'
+#' The function does not execute examples. It parses the documentation and
+#' source files to identify candidate calls to non-exported functions.
+#'
+#' @param pkgPath Character string specifying the path to the root directory
+#'   of an R package source tree. The directory should contain \file{man/},
+#'   \file{R/}, and \file{NAMESPACE}.
+#'
+#' @return A data frame with one row per detected call and the following
+#'   columns:
+#'   \describe{
+#'     \item{topic}{Name of the Rd documentation topic in which the call
+#'       was detected, usually the filename without the \file{.Rd} extension.}
+#'     \item{function_name}{Name of the non-exported function detected in
+#'       the example.}
+#'     \item{call_type}{Type of call: \code{unqualified} for a direct
+#'       function call, or \code{explicit :::} for an explicitly
+#'       namespace-qualified call using the triple-colon operator.}
+#'     \item{defined_in_package}{Logical value indicating whether the
+#'       function was found among the function definitions detected in the
+#'       package's \file{R/} source files.}
+#'   }
+#'
+#'   If no matching calls are found, an empty data frame with these columns
+#'   is returned.
+#'
+#' @details
+#' The function identifies two types of calls:
+#' \itemize{
+#'   \item Unqualified calls to functions defined in the package source
+#'     that are not listed as exports in \file{NAMESPACE}.
+#'   \item Calls using \code{pkg:::fun()}, where \code{pkg} matches the
+#'     package directory name and \code{fun} is not exported.
+#' }
+#'
+#' The \code{defined_in_package} column is based on static inspection of
+#' source files. A value of \code{FALSE} for an explicitly qualified call
+#' means that a matching direct function definition was not found. This
+#' does not necessarily mean that the function is absent; it may be generated
+#' dynamically or defined in a form not recognized by the detector.
+#'
+#' The analysis is static and may not identify calls created dynamically
+#' through mechanisms such as \code{get()}, \code{assign()}, or
+#' metaprogramming. It also relies on the package's source files and
+#' \file{NAMESPACE} being consistent with the documentation being inspected.
+#'
+#' @seealso [tools::parse_Rd()], [tools::Rd2ex()]
+#'
+#' @section Development review:
+#' - AI-assisted: Yes
+#' - Review:
+#' - Notes/scope: not really reviewed, just worked when needed and could be useful
+#' in the future
+#'
+#' @keywords internal
+#'
+#' @examples
+#' \dontrun{
+#' # Scan a local package source directory
+#' issues <- detectNonExportedExamples("path/to/package")
+#'
+#' # Display all detected calls
+#' print(issues)
+#'
+#' # Inspect calls whose definitions were not found in the source
+#' subset(issues, defined_in_package == FALSE)
+#' }
+#'
+
+detectNonExportedExamples <- function(pkgPath) {
+  stopifnot(dir.exists(pkgPath))
+
+  man_dir <- file.path(pkgPath, "man")
+  r_dir <- file.path(pkgPath, "R")
+  ns_file <- file.path(pkgPath, "NAMESPACE")
+
+  if (!dir.exists(man_dir)) {
+    stop("Cannot find package man/ directory: ", man_dir)
+  }
+
+  # --------------------------------------------------
+  # 1. Read exported function names from NAMESPACE
+  # --------------------------------------------------
+  exports <- character()
+
+  if (file.exists(ns_file)) {
+    ns_lines <- readLines(ns_file, warn = FALSE)
+
+    export_lines <- grep(
+      "^\\s*export\\s*\\(",
+      ns_lines,
+      value = TRUE
+    )
+
+    exports <- unlist(
+      lapply(export_lines, function(line) {
+        matches <- regmatches(
+          line,
+          gregexpr(
+            'export\\s*\\(\\s*["\u0060]?[^)"\u0060]+\\)',
+            line,
+            perl = TRUE
+          )
+        )
+        matches
+      })
+    )
+
+    # Parse NAMESPACE directives properly where possible
+    ns_exprs <- tryCatch(
+      parse(ns_file),
+      error = function(e) expression()
+    )
+
+    exports <- unique(unlist(lapply(ns_exprs, function(expr) {
+      if (is.call(expr) &&
+          identical(expr[[1L]], as.name("export"))) {
+        as.character(expr[-1L])
+      } else {
+        character()
+      }
+    })))
+  }
+
+  # --------------------------------------------------
+  # 2. Find functions defined in the package's R files
+  # --------------------------------------------------
+  internal_functions <- character()
+
+  if (dir.exists(r_dir)) {
+    r_files <- list.files(
+      r_dir,
+      pattern = "\\.[Rr]$",
+      full.names = TRUE,
+      recursive = TRUE
+    )
+
+    for (file in r_files) {
+      exprs <- tryCatch(
+        parse(file),
+        error = function(e) expression()
+      )
+
+      find_definitions <- function(x) {
+        out <- character()
+
+        if (
+          is.call(x) &&
+          length(x) >= 3L &&
+          (
+            identical(x[[1L]], as.name("<-")) ||
+            identical(x[[1L]], as.name("=")) ||
+            identical(x[[1L]], as.name("<<-"))
+          ) &&
+          is.symbol(x[[2L]]) &&
+          is.call(x[[3L]]) &&
+          identical(x[[3L]][[1L]], as.name("function"))
+        ) {
+          out <- c(out, as.character(x[[2L]]))
+        }
+
+        if (is.call(x) || is.expression(x) || is.pairlist(x)) {
+          for (i in seq_along(x)) {
+            # Skip missing arguments
+            if (identical(x[[i]], quote(expr = ))) {
+              next
+            }
+
+            out <- c(out, find_definitions(x[[i]]))
+          }
+        }
+
+        unique(out)
+      }
+
+      internal_functions <- c(
+        internal_functions,
+        unlist(lapply(exprs, find_definitions))
+      )
+    }
+  }
+
+  internal_functions <- unique(internal_functions)
+
+  # --------------------------------------------------
+  # 3. Extract calls from the original \examples{} tags
+  # --------------------------------------------------
+  rd_files <- list.files(
+    man_dir,
+    pattern = "\\.Rd$",
+    full.names = TRUE,
+    recursive = TRUE
+  )
+
+  results <- list()
+
+  get_calls <- function(x) {
+    calls <- character()
+
+    if (is.call(x)) {
+      head <- x[[1L]]
+
+      # Ordinary function call: foo(...)
+      if (is.symbol(head)) {
+        calls <- c(calls, as.character(head))
+      }
+
+      # Namespace-qualified call: pkg::foo(...) or pkg:::foo(...)
+      if (
+        is.call(head) &&
+        length(head) == 3L &&
+        (
+          identical(head[[1L]], as.name("::")) ||
+          identical(head[[1L]], as.name(":::"))
+        ) &&
+        is.symbol(head[[2L]]) &&
+        is.symbol(head[[3L]])
+      ) {
+        operator <- as.character(head[[1L]])
+
+        calls <- c(
+          calls,
+          paste0(
+            as.character(head[[2L]]),
+            operator,
+            as.character(head[[3L]])
+          )
+        )
+      }
+
+      # Traverse arguments, skipping missing arguments
+      for (i in seq_along(x)[-1L]) {
+        arg <- tryCatch(x[[i]], error = function(e) NULL)
+
+        if (!is.null(arg)) {
+          calls <- c(calls, get_calls(arg))
+        }
+      }
+
+    } else if (is.expression(x) || is.pairlist(x) || is.list(x)) {
+      for (i in seq_along(x)) {
+        el <- tryCatch(x[[i]], error = function(e) NULL)
+
+        if (!is.null(el)) {
+          calls <- c(calls, get_calls(el))
+        }
+      }
+    }
+
+    unique(calls)
+  }
+
+  # Recursively extract text under \examples{}
+  extract_examples <- function(rd) {
+    found <- list()
+
+    walk <- function(node) {
+      if (!is.list(node)) return()
+
+      if (identical(attr(node, "Rd_tag"), "\\examples")) {
+        found[[length(found) + 1L]] <<- node
+        return()
+      }
+
+      for (child in node) {
+        walk(child)
+      }
+    }
+
+    walk(rd)
+    found
+  }
+
+  for (file in rd_files) {
+    rd <- tryCatch(
+      tools::parse_Rd(file),
+      error = function(e) NULL
+    )
+
+    if (is.null(rd)) next
+
+    examples <- extract_examples(rd)
+    if (!length(examples)) next
+
+    topic <- sub("\\.Rd$", "", basename(file))
+
+    for (example in examples) {
+      # Convert Rd markup to example R code. This does not
+      # execute the examples.
+      code <- paste(
+        unlist(lapply(example, function(part) {
+          paste(as.character(part), collapse = "")
+        })),
+        collapse = "\n"
+      )
+
+      # Fallback to Rd2ex if direct extraction cannot be parsed
+      exprs <- tryCatch(
+        parse(text = code),
+        error = function(e) NULL
+      )
+
+      if (is.null(exprs)) {
+        tmp <- tempfile(fileext = ".R")
+        tryCatch({
+          tools::Rd2ex(rd, out = tmp)
+          exprs <- parse(file = tmp)
+        }, error = function(e) {
+          exprs <<- NULL
+        }, finally = {
+          unlink(tmp)
+        })
+      }
+
+      if (is.null(exprs)) next
+
+      calls <- unique(unlist(lapply(exprs, get_calls)))
+
+      for (call_name in calls) {
+        # Namespace-qualified calls
+        if (grepl("::", call_name, fixed = TRUE)) {
+          parts <- strsplit(call_name, "::", fixed = TRUE)[[1L]]
+          fn <- parts[length(parts)]
+          operator <- if (grepl(":::", call_name, fixed = TRUE)) {
+            ":::"
+          } else {
+            "::"
+          }
+
+          if (operator == ":::" &&
+              parts[1L] == basename(pkgPath) &&
+              !fn %in% exports) {
+            results[[length(results) + 1L]] <- data.frame(
+              topic = topic,
+              function_name = fn,
+              call_type = "explicit :::",
+              defined_in_package = fn %in% internal_functions,
+              stringsAsFactors = FALSE
+            )
+          }
+
+          next
+        }
+
+        # Unqualified calls to package-defined functions
+        if (call_name %in% internal_functions &&
+            !call_name %in% exports) {
+          results[[length(results) + 1L]] <- data.frame(
+            topic = topic,
+            function_name = call_name,
+            call_type = "unqualified",
+            defined_in_package = TRUE,
+            stringsAsFactors = FALSE
+          )
+        }
+      }
+    }
+  }
+
+  if (!length(results)) {
+    return(data.frame(
+      topic = character(),
+      function_name = character(),
+      call_type = character(),
+      defined_in_package = logical()
+    ))
+  }
+
+  unique(do.call(rbind, results))
+}
diff --git a/tests/testthat/test-detectNonExportedExamples.R b/tests/testthat/test-detectNonExportedExamples.R
new file mode 100644
index 0000000..5a310cb
--- /dev/null
+++ b/tests/testthat/test-detectNonExportedExamples.R
@@ -0,0 +1,62 @@
+
+test_that("detectNonExportedExamples finds non-exported functions in examples", {
+  pkg_path <- tempfile("testpkg-")
+  dir.create(pkg_path)
+  dir.create(file.path(pkg_path, "R"))
+  dir.create(file.path(pkg_path, "man"))
+
+  # Minimal package metadata
+  writeLines(
+    c(
+      "Package: testpkg",
+      "Title: Test Package",
+      "Version: 0.0.1",
+      "Description: A package for testing.",
+      "License: MIT"
+    ),
+    file.path(pkg_path, "DESCRIPTION")
+  )
+
+  # Define one exported and one internal function
+  writeLines(
+    c(
+      "export(public_fun)"
+    ),
+    file.path(pkg_path, "NAMESPACE")
+  )
+
+  writeLines(
+    c(
+      "public_fun <- function(x) x",
+      "internal_fun <- function(x) x"
+    ),
+    file.path(pkg_path, "R", "functions.R")
+  )
+
+  # Help page example calls the internal function
+  writeLines(
+    c(
+      "\\\\name{public_fun}",
+      "\\\\alias{public_fun}",
+      "\\\\title{Public function}",
+      "\\\\description{A test help page.}",
+      "\\\\examples{",
+      "public_fun(1)",
+      "internal_fun(1)",
+      "}"
+    ),
+    file.path(pkg_path, "man", "public_fun.Rd")
+  )
+
+  result <- detectNonExportedExamples(pkg_path)
+
+  expect_true(is.data.frame(result))
+  expect_true(all(c(
+    "topic", "function_name", "call_type", "defined_in_package"
+  ) %in% names(result)))
+
+  expect_true(any(
+    result$function_name == "internal_fun" &
+      result$defined_in_package
+  ))
+})
diff --git a/vignettes/v02b-Generating-zeros-for-species-not-observed.Rmd b/vignettes/v02b-Generating-zeros-for-species-not-observed.Rmd
index da06c49..f9515b9 100644
--- a/vignettes/v02b-Generating-zeros-for-species-not-observed.Rmd
+++ b/vignettes/v02b-Generating-zeros-for-species-not-observed.Rmd
@@ -29,12 +29,11 @@ library(data.table)
 ## Load and validate example data
 
 ```{r}
-# read an example dataset and simplify it to 1 trip and 1 haul [dev bote: this section needs to be reworked when data and filterRDBESDataObject are  updated]
+# read an example dataset and simplify it to 1 trip and 1 haul
 data(Pckg_survey_apistrat_H1)
 myH1DataObject1 <- Pckg_survey_apistrat_H1
 myH1DataObject1$SL<-myH1DataObject1$SL[grepl(myH1DataObject1$SL$SLspeclistName, pat="Pckg_survey_apistrat_H1"),]
-#myH1DataObject1<-filterAndTidyRDBESDataObject(myH1DataObject1, fieldsToFilter="FOid",valuesToFilter=70849, killOrphans = TRUE)
-myH1DataObject1<-filterRDBESDataObject(myH1DataObject1, fieldsToFilter="SSid",valuesToFilter=myH1DataObject1$SS$SSid[1], killOrphans = TRUE)
+myH1DataObject1<-filterAndTidyRDBESDataObject(myH1DataObject1, fieldsToFilter="FOid",valuesToFilter=70849)
 # check it is a valid RDBESobject
 validateRDBESDataObject(myH1DataObject1)
 ```

From 0f1c5ef9edca65fea24baa6fb3632f3d4fd31f38 Mon Sep 17 00:00:00 2001
From: nmprista <31890653+nmprista@users.noreply.github.com>
Date: Tue, 13 Oct 2026 15:02:17 +0200
Subject: [PATCH 58/87] added a 2nd test and documented AI assistance

---
 .../testthat/test-detectNonExportedExamples.R | 55 +++++++++++++++++++
 1 file changed, 55 insertions(+)

diff --git a/tests/testthat/test-detectNonExportedExamples.R b/tests/testthat/test-detectNonExportedExamples.R
index 5a310cb..56219cd 100644
--- a/tests/testthat/test-detectNonExportedExamples.R
+++ b/tests/testthat/test-detectNonExportedExamples.R
@@ -1,3 +1,7 @@
+#' - AI-assisted: Yes
+#' - Review:
+#' - Notes/scope: not really reviewed, just worked when needed
+#'
 
 test_that("detectNonExportedExamples finds non-exported functions in examples", {
   pkg_path <- tempfile("testpkg-")
@@ -60,3 +64,54 @@ test_that("detectNonExportedExamples finds non-exported functions in examples",
       result$defined_in_package
   ))
 })
+
+test_that("detectNonExportedExamples ignores exported functions", {
+  pkg_path <- tempfile("testpkg-")
+  dir.create(pkg_path)
+  dir.create(file.path(pkg_path, "R"))
+  dir.create(file.path(pkg_path, "man"))
+
+  writeLines(
+    c(
+      "Package: testpkg",
+      "Title: Test Package",
+      "Version: 0.0.1",
+      "Description: A package for testing.",
+      "License: MIT"
+    ),
+    file.path(pkg_path, "DESCRIPTION")
+  )
+
+  # Both functions are defined, but only public_fun is exported
+  writeLines(
+    "export(public_fun)",
+    file.path(pkg_path, "NAMESPACE")
+  )
+
+  writeLines(
+    c(
+      "public_fun <- function(x) x",
+      "internal_fun <- function(x) x"
+    ),
+    file.path(pkg_path, "R", "functions.R")
+  )
+
+  # The example calls only the exported function
+  writeLines(
+    c(
+      "\\name{public_fun}",
+      "\\alias{public_fun}",
+      "\\title{Public function}",
+      "\\description{A test help page.}",
+      "\\examples{",
+      "public_fun(1)",
+      "}"
+    ),
+    file.path(pkg_path, "man", "public_fun.Rd")
+  )
+
+  result <- detectNonExportedExamples(pkg_path)
+
+  expect_false(any(result$function_name == "public_fun"))
+})
+

From 3c4c009185d9708f1940fd080b7243920e2859ff Mon Sep 17 00:00:00 2001
From: nmprista <31890653+nmprista@users.noreply.github.com>
Date: Tue, 13 Oct 2026 15:14:25 +0200
Subject: [PATCH 59/87] added clean up of tmp dir/package. related to #267

---
 tests/testthat/test-detectNonExportedExamples.R | 17 ++++++++++++-----
 1 file changed, 12 insertions(+), 5 deletions(-)

diff --git a/tests/testthat/test-detectNonExportedExamples.R b/tests/testthat/test-detectNonExportedExamples.R
index 56219cd..16a8d03 100644
--- a/tests/testthat/test-detectNonExportedExamples.R
+++ b/tests/testthat/test-detectNonExportedExamples.R
@@ -40,11 +40,11 @@ test_that("detectNonExportedExamples finds non-exported functions in examples",
   # Help page example calls the internal function
   writeLines(
     c(
-      "\\\\name{public_fun}",
-      "\\\\alias{public_fun}",
-      "\\\\title{Public function}",
-      "\\\\description{A test help page.}",
-      "\\\\examples{",
+      "\\name{public_fun}",
+      "\\alias{public_fun}",
+      "\\title{Public function}",
+      "\\description{A test help page.}",
+      "\\examples{",
       "public_fun(1)",
       "internal_fun(1)",
       "}"
@@ -63,6 +63,9 @@ test_that("detectNonExportedExamples finds non-exported functions in examples",
     result$function_name == "internal_fun" &
       result$defined_in_package
   ))
+
+  # Clean up
+  unlink(pkg_path, recursive = TRUE)
 })
 
 test_that("detectNonExportedExamples ignores exported functions", {
@@ -113,5 +116,9 @@ test_that("detectNonExportedExamples ignores exported functions", {
   result <- detectNonExportedExamples(pkg_path)
 
   expect_false(any(result$function_name == "public_fun"))
+
+  # Clean up
+  unlink(pkg_path, recursive = TRUE)
+
 })
 

From be3910a4da006380a5c7648ef994debf668fa43b Mon Sep 17 00:00:00 2001
From: nmprista <31890653+nmprista@users.noreply.github.com>
Date: Tue, 13 Oct 2026 15:58:38 +0200
Subject: [PATCH 60/87] updated example to exported function #267

---
 R/validateRDBESDataObject.R | 7 +++----
 1 file changed, 3 insertions(+), 4 deletions(-)

diff --git a/R/validateRDBESDataObject.R b/R/validateRDBESDataObject.R
index 2686816..c79f12e 100644
--- a/R/validateRDBESDataObject.R
+++ b/R/validateRDBESDataObject.R
@@ -29,10 +29,9 @@
 #' @aliases checkRDBESDataObject
 #' @examples
 #' \dontrun{
-#' myH1RawObject <-
-#' importRDBESDataCSV(rdbesExtractPath = "tests/testthat/h1_v_1_19")
-#' validateRDBESDataObject(myH1RawObject)}
-#'
+#' dataDir <- paste0(system.file("extdata", package = "RDBEScore"), "/")
+#' myH1DataObject <- createRDBESDataObject(input = paste0(dataDir,"H1_Example.zip"))
+#' validateRDBESDataObject(myH1DataObject)}
 validateRDBESDataObject <- function(objectToCheck,
                                 checkDataTypes = FALSE,
                                 verbose = FALSE,

From 14076174731fbdfdec4f41971e81bfba3b718a03 Mon Sep 17 00:00:00 2001
From: nmprista <31890653+nmprista@users.noreply.github.com>
Date: Tue, 13 Oct 2026 16:03:02 +0200
Subject: [PATCH 61/87] updated example to exported function related to issue
 #267

---
 R/validateRDBESEstObject.R | 6 +++---
 1 file changed, 3 insertions(+), 3 deletions(-)

diff --git a/R/validateRDBESEstObject.R b/R/validateRDBESEstObject.R
index fa504ce..2d7f233 100644
--- a/R/validateRDBESEstObject.R
+++ b/R/validateRDBESEstObject.R
@@ -10,9 +10,9 @@
 #'
 #' @examples
 #' \dontrun{
-#' myH1RawObject <-
-#' importRDBESDataCSV(rdbesExtractPath = "tests/testthat/h1_v_1_19")
-#' myEStObj <- createRDBESEstObject(myH1RawObject,1)
+#' dataDir <- paste0(system.file("extdata", package = "RDBEScore"), "/")
+#' myH1DataObject <- createRDBESDataObject(input = paste0(dataDir,"H1_Example.zip"))
+#' myEStObj <- createRDBESEstObject(myH1DataObject,1)
 #' validateRDBESEstObject(myEStObj)}
 validateRDBESEstObject <- function(objectToCheck, verbose = FALSE){
 

From d94f706db8fbd2ee0c5089001b1a64ecc1c13f58 Mon Sep 17 00:00:00 2001
From: nmprista <31890653+nmprista@users.noreply.github.com>
Date: Tue, 13 Oct 2026 16:09:38 +0200
Subject: [PATCH 62/87] updated examples to exported function related to issue
 #267

---
 R/importRDBESDataCSV.R | 2 +-
 R/importRDBESDataZIP.R | 2 +-
 2 files changed, 2 insertions(+), 2 deletions(-)

diff --git a/R/importRDBESDataCSV.R b/R/importRDBESDataCSV.R
index c333daa..e0c35e9 100644
--- a/R/importRDBESDataCSV.R
+++ b/R/importRDBESDataCSV.R
@@ -32,7 +32,7 @@
 #' \dontrun{
 #' myEmptyRDBESObject <- importRDBESDataCSV()
 #' rdbesExtractPath <- "./tests/testthat/h7_v_1_19_18/"
-#' obj <- importRDBESDataCSV(rdbesExtractPath)
+#' obj <- RDBEScore:::importRDBESDataCSV(rdbesExtractPath)
 #' }
 #'
 importRDBESDataCSV <- function(rdbesExtractPath = NULL,
diff --git a/R/importRDBESDataZIP.R b/R/importRDBESDataZIP.R
index b8f29b0..4251237 100644
--- a/R/importRDBESDataZIP.R
+++ b/R/importRDBESDataZIP.R
@@ -23,7 +23,7 @@
 #' @examples
 #' \dontrun{
 #' rdbesExtractPath <- "./2022_FPN_FPE_H7.zip"
-#' obj <- importRDBESDataZIP(rdbesExtractPath)
+#' obj <- RDBEScore:::importRDBESDataZIP(rdbesExtractPath)
 #' }
 
 importRDBESDataZIP <- function(filenames,

From 11a558bab2d2bb437a758bdd2c406dff48dc9dfd Mon Sep 17 00:00:00 2001
From: Ana Fernandes <49688265+anacfernandes@users.noreply.github.com>
Date: Tue, 13 Oct 2026 15:10:26 +0100
Subject: [PATCH 63/87] Update README.md

Corrected some typos and added new link for ices logo
---
 README.md | 18 +++++++++---------
 1 file changed, 9 insertions(+), 9 deletions(-)

diff --git a/README.md b/README.md
index 3674edf..a540bfc 100644
--- a/README.md
+++ b/README.md
@@ -9,7 +9,7 @@
 [![CRAN Total](http://cranlogs.r-pkg.org/badges/grand-total/RDBEScore)](https://cran.r-project.org/package=RDBEScore)
 -->
 
-[<img align="right" alt="ICES Logo" width="17%" height="17%" src="http://ices.dk/_layouts/15/1033/images/icesimg/iceslogo.png">](http://ices.dk)
+[<img align="right" alt="ICES Logo" width="14%" height="14%" src="https://www.ices.dk/SiteCollectionImages/ICES%20logos/ICES%20logo%20acronym_small.jpg">](http://ices.dk)
 
 `RDBEScore`
 =========
@@ -97,7 +97,7 @@ install_github("ices-tools-dev/RDBEScore@dev", build = FALSE)
 
 ## How to Start developing
 
-Contributions are welcome and the use of AI coding tools are premitted, but all code must be tested and checked by humans to maintain the reliability of the package. Confidential information should never be commited. 
+Contributions are welcome and the use of AI coding tools are permitted, but all code must be tested and checked by humans to maintain the reliability of the package. Confidential information should never be commited. 
 
 > [!WARNING]
 > Working with RDBES data is working with confidential data that is subjected to a data policy that aims to prevent unintended misuse or leakage of information by individual users, and keep trust in the RDBES system. Because of that, RDBES data should be handled with special care (e.g., never be commited to github or AI services without explicit permission from the data owner) and development should be done, to the extent possible, using synthetic or public data.
@@ -123,7 +123,7 @@ The main package directories are:
 
 2. **Start from the latest `dev` branch.** Work directly on `dev` if you can ensure that you never commit code that has failing tests. If you are unsure you can always create your own development branch based on `dev` and work there. Wherever you work remember to pull frequently so your code does not deviate too far from others. The `main` branch is protected and only accepts changes through pull requests.
 
-3. **Write or modify the code and tests.** You can do this manually or with AI coding tools. New functions should include roxygen2 documentation and appropriate tests. Add or update examples and vignettes when relevant. Aim to keep changes related to one issue together.
+3. **Write or modify the code and tests.** You can do this manually or with AI coding tools. New functions should include *roxygen2* documentation and appropriate tests. Add or update examples and vignettes when relevant. Aim to keep changes related to one issue together.
 
 4. **Document AI involvement and human review.** Add the information described in Section 3 to every new or substantially modified function and test(s).
 
@@ -143,13 +143,13 @@ The main package directories are:
 
 ### 3. AI-assisted development and human review
 
-Starting with version 0.3.5, contributors are permitted to use AI coding tools to accelerate development. However, all contributors remain responsible for understanding and verifying their code, regardless of whether it was written manually or generated with AI. If you posess confidential RDBES data using installed AI products (e.g. VScode, Codex, Claude Code, PositAI, browser add-ons etc) is  only allowed if you have explicit permission from the data owner.  Browser-based AI may also be used as long as tools permissions have been checked and confidential information or data is not submitted to them.
+Starting with version 0.3.5, contributors are permitted to use AI coding tools to accelerate development. However, all contributors remain responsible for understanding and verifying their code, regardless of whether it was written manually or generated with AI. If you possess confidential RDBES data when using installed AI products (e.g. VScode, Codex, Claude Code, PositAI, browser add-ons etc), that is  only allowed if you have explicit permission from the data owner. Browser-based AI may also be used as long as tools permissions have been checked and confidential information or data is not submitted to them.
 
 Every **new or substantially modified** function and test must document **AI involvement**.
 
 **Function documentation**
 
-Include a `Development review` section in the function's roxygen2 documentation so that the information appears in the installed package's R help pages (`?functionName`).
+Include a `Development review` section in the function's *roxygen2* documentation so that the information appears in the installed package's R help pages (`?functionName`).
 
 ```r
 #' @section Development review:
@@ -183,7 +183,7 @@ capture.output({  ## suppresses printing of console output when running test()
 **Meaning of the fields**
 
 - **AI-assisted:** `Yes` if AI tools were used to generate or substantially modify the current code or test, otherwise `No`. Routine autocomplete or minor wording corrections do not need to be reported.
-- **Review:** Github usernames of people who have checked and accepted the current implementation or test. The original contributor records one approval after checking their own work. Each additional reviewer who approves the current version is added.
+- **Review:** GitHub usernames of people who have checked and accepted the current implementation or test. The original contributor records one approval after checking their own work. Each additional reviewer who approves the current version is added.
 - **Notes/scope (optional):** Briefly describe what has been verified, for example specific RDBES sampling hierarchies, datasets, reference calculations, or known limitations. Include data versions or dates when relevant.
 
 **Updating review**
@@ -194,12 +194,12 @@ When another person reviews the code or test and approves it without changes, ad
 # Review: janesmith, johnbrown
 ```
 
-If a reviewer wants to modify the code substantially they are expected to raise an issue to inform others about it. Previous reviewers should be assigned to that issue and informed about the new issue. 
+If a reviewer wants to modify the code substantially, they are expected to raise an issue to inform others about it. Previous reviewers should be assigned to that issue and informed about the new issue. 
 
 Review for functions and tests are maintained separately. A change to one does not automatically invalidate approval of the other, unless its correctness is affected.
 
 **Major changes**
-Major changes (Sensu changes to multiple functions, that take time to review) should only be done after a plenary discussion. To the extent possible the previous reviewers are informed ahead of those changes and allowed enough time to form an opinion.
+Major changes (Sensu changes to multiple functions, that take time to review) should only be done after a plenary discussion. To the extent possible, the previous reviewers are informed ahead of those changes and allowed enough time to form an opinion.
 
 **Testing and scientific reliability**
 
@@ -215,7 +215,7 @@ The `dev` branch may contain functions that are still being developed, tested or
 
 We aim at 2 releases a year (autumn and spring) and an online meeting will be scheduled to approve the pull request to the main.
 
-When preparing a release a subset of the package contributors will:
+When preparing a release, a subset of the package contributors will:
 
 1. Identify the functions and changes that are ready, considering their tests, human review and any review notes.
 2. If only some changes from `dev` are ready, create a release branch from `main` and selectively transfer the required commits using Git cherry-pick. Include any dependent changes, tests and documentation.

From 64cc7fd14c74afeb9eabd41a7733fa7ccf1b2a1f Mon Sep 17 00:00:00 2001
From: nmprista <31890653+nmprista@users.noreply.github.com>
Date: Tue, 13 Oct 2026 16:20:13 +0200
Subject: [PATCH 64/87] updated example to exported function #267 improved
 example: now demonstrates strict=F

---
 R/combineRDBESDataObjects.R | 15 ++++++---------
 1 file changed, 6 insertions(+), 9 deletions(-)

diff --git a/R/combineRDBESDataObjects.R b/R/combineRDBESDataObjects.R
index 9bfc7cb..0557bde 100644
--- a/R/combineRDBESDataObjects.R
+++ b/R/combineRDBESDataObjects.R
@@ -22,15 +22,12 @@
 #'
 #' @examples
 #' \dontrun{
-#'
-#' myH1RawObject <-
-#'     importRDBESDataCSV(rdbesExtractPath = "tests\\testthat\\h1_v_1_19")
-#' myH5RawObject <-
-#'     importRDBESDataCSV(rdbesExtractPath = "tests\\testthat\\h5_v_1_19")
-#'
-#' myCombinedRawObject <- combineRDBESDataObjects(RDBESDataObject1=myH1RawObject,
-#'                                              RDBESDataObject2=myH5RawObject)
-#' }
+#' myH1DataObject <- H1Example
+#' myH5DataObject <- H5Example
+#' myCombinedRawObject <- combineRDBESDataObjects(RDBESDataObject1=myH1DataObject,
+#'                                              RDBESDataObject2=myH5DataObject)
+#' myCombinedRawObject <- combineRDBESDataObjects(RDBESDataObject1=myH1DataObject,
+#'                                              RDBESDataObject2=myH5DataObject, strict=F)}                                              RDBESDataObject2=myH5RawObject)
 combineRDBESDataObjects <- function(RDBESDataObject1,
                                     RDBESDataObject2,
                                     verbose = FALSE,

From 17776b937fc1182a5c2a18f863eacdbac70f0282 Mon Sep 17 00:00:00 2001
From: nmprista <31890653+nmprista@users.noreply.github.com>
Date: Tue, 13 Oct 2026 16:37:07 +0200
Subject: [PATCH 65/87] updated example to exported function and data sets now
 available #267

---
 R/importRDBESDataCSV.R | 9 +++++----
 1 file changed, 5 insertions(+), 4 deletions(-)

diff --git a/R/importRDBESDataCSV.R b/R/importRDBESDataCSV.R
index e0c35e9..a539dc4 100644
--- a/R/importRDBESDataCSV.R
+++ b/R/importRDBESDataCSV.R
@@ -30,10 +30,11 @@
 #'
 #' @examples
 #' \dontrun{
-#' myEmptyRDBESObject <- importRDBESDataCSV()
-#' rdbesExtractPath <- "./tests/testthat/h7_v_1_19_18/"
-#' obj <- RDBEScore:::importRDBESDataCSV(rdbesExtractPath)
-#' }
+#' dataDir <- paste0(system.file("extdata", package = "RDBEScore"), "/")
+#' tmpDir<-tempdir(check = FALSE)
+#' unzip(paste0(dataDir,"H1_Example.zip"), exdir=tmpDir)
+#' myH1DataObject<-importRDBESDataCSV(file.path(tmpDir,"H1"))
+#' validateRDBESDataObject(myH1DataObject)}
 #'
 importRDBESDataCSV <- function(rdbesExtractPath = NULL,
                                listOfFileNames = NULL,

From 7cc40d48e490d9a3f8b7cccbc5afc5feb0a22031 Mon Sep 17 00:00:00 2001
From: nmprista <31890653+nmprista@users.noreply.github.com>
Date: Tue, 13 Oct 2026 16:41:28 +0200
Subject: [PATCH 66/87] updated example to exported function and data sets now
 available #267

---
 R/importRDBESDataZIP.R | 8 ++++----
 1 file changed, 4 insertions(+), 4 deletions(-)

diff --git a/R/importRDBESDataZIP.R b/R/importRDBESDataZIP.R
index 4251237..e4035d8 100644
--- a/R/importRDBESDataZIP.R
+++ b/R/importRDBESDataZIP.R
@@ -22,10 +22,10 @@
 #'
 #' @examples
 #' \dontrun{
-#' rdbesExtractPath <- "./2022_FPN_FPE_H7.zip"
-#' obj <- RDBEScore:::importRDBESDataZIP(rdbesExtractPath)
-#' }
-
+#' dataDir <- paste0(system.file("extdata", package = "RDBEScore"), "/")
+#' myH1DataObject <- RDBEScore:::importRDBESDataZIP(file.path(dataDir,"H1_Example.zip"))
+#' validateRDBESDataObject(myH1DataObject)}
+#'
 importRDBESDataZIP <- function(filenames,
                                castToCorrectDataTypes = TRUE,
                                Hierarchy = NULL, ...) {

From 10d14b29f80c318f84260a546843c2ec091d92ba Mon Sep 17 00:00:00 2001
From: nmprista <31890653+nmprista@users.noreply.github.com>
Date: Tue, 13 Oct 2026 16:45:08 +0200
Subject: [PATCH 67/87] updated example to exported function and data sets now
 available #267

---
 R/createTableOfRDBESIds.r | 7 ++-----
 1 file changed, 2 insertions(+), 5 deletions(-)

diff --git a/R/createTableOfRDBESIds.r b/R/createTableOfRDBESIds.r
index 434803a..1206557 100644
--- a/R/createTableOfRDBESIds.r
+++ b/R/createTableOfRDBESIds.r
@@ -12,12 +12,9 @@
 #'
 #' @examples
 #' \dontrun{
+#' myH1DataObject <- H1Example
+#' myTableOfIds <- createTableOfRDBESIds(myH1DataObject)}
 #'
-#' myH1RawObject <-
-#'   importRDBESDataCSV(rdbesExtractPath = "tests\\testthat\\h1_v_1_19_13")
-#'
-#' myTableOfIds<- createTableOfRDBESIds(myH1RawObject)
-#' }
 
 createTableOfRDBESIds<-function(x, addSAseqNums=TRUE){
 

From d020717d2ad8e3053e7a2466702f357d31acbaa3 Mon Sep 17 00:00:00 2001
From: nmprista <31890653+nmprista@users.noreply.github.com>
Date: Tue, 13 Oct 2026 16:55:01 +0200
Subject: [PATCH 68/87] updated example to exported function and data sets now
 available #267

---
 R/doEstimationForAllStrata.R | 11 +++++------
 1 file changed, 5 insertions(+), 6 deletions(-)

diff --git a/R/doEstimationForAllStrata.R b/R/doEstimationForAllStrata.R
index 1cc650f..fffe508 100644
--- a/R/doEstimationForAllStrata.R
+++ b/R/doEstimationForAllStrata.R
@@ -12,17 +12,16 @@
 #' @examples
 #' \dontrun{
 #'
-#' myH1RawObject <-
-#'   importRDBESDataCSV(rdbesExtractPath = "tests\\testthat\\h1_v_1_19")
+#' myH1DataObject <- H1Example
 #'
 #' # Update our test data with some random sample measurements
-#' myH1RawObject[["SA"]]$SAsampWtLive <-
-#'   round(runif(n = nrow(myH1RawObject[["SA"]]), min = 1, max = 100))
+#' myH1DataObject[["SA"]]$SAsampWtLive <-
+#'   round(runif(n = nrow(myH1DataObject[["SA"]]), min = 1, max = 100))
 #'
-#' myH1EstObj <- createRDBESEstObject(myH1RawObject, 1)
+#' myH1EstObj <- createRDBESEstObject(myH1DataObject, 1)
 #'
 #' myStrataEst <- doEstimationForAllStrata(
-#'   RDBESDataObjectForEstim = myH1EstObj,
+#'   RDBESEstObjectForEstim = myH1EstObj,
 #'   targetValue = 'SAsampWtLive'
 #' )
 #' }

From 33650030eb2795f7e2b3bf9e826c656a9a438c05 Mon Sep 17 00:00:00 2001
From: nmprista <31890653+nmprista@users.noreply.github.com>
Date: Tue, 13 Oct 2026 16:56:18 +0200
Subject: [PATCH 69/87] updated example to exported function #267

---
 R/createTableOfRDBESIds.r | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/R/createTableOfRDBESIds.r b/R/createTableOfRDBESIds.r
index 1206557..34df003 100644
--- a/R/createTableOfRDBESIds.r
+++ b/R/createTableOfRDBESIds.r
@@ -13,7 +13,7 @@
 #' @examples
 #' \dontrun{
 #' myH1DataObject <- H1Example
-#' myTableOfIds <- createTableOfRDBESIds(myH1DataObject)}
+#' myTableOfIds <- RDBEScore:::createTableOfRDBESIds(myH1DataObject)}
 #'
 
 createTableOfRDBESIds<-function(x, addSAseqNums=TRUE){

From 0e0ef434ef376a71f3733daf4ab4ffc9c14db83f Mon Sep 17 00:00:00 2001
From: nmprista <31890653+nmprista@users.noreply.github.com>
Date: Tue, 13 Oct 2026 17:01:49 +0200
Subject: [PATCH 70/87] updated example to exported function and data sets now
 available #267

---
 R/createDBEPrepObj.R       | 2 +-
 R/doDBEestimantionObjUpp.R | 5 ++---
 2 files changed, 3 insertions(+), 4 deletions(-)

diff --git a/R/createDBEPrepObj.R b/R/createDBEPrepObj.R
index 4c92e69..0fd894e 100644
--- a/R/createDBEPrepObj.R
+++ b/R/createDBEPrepObj.R
@@ -12,7 +12,7 @@
 #' input <- "WKRDB-EST2/testData/output/DBErawObj/"
 #' output <- "WKRDB-EST2/subGroup1/personal/John/PreparedOutputs/"
 #'
-#' createDBEPrepObj(input = input, output = output)
+#' RDBEScore:::createDBEPrepObj(input = input, output = output)
 #' }
 createDBEPrepObj <- function(input, output) {
 
diff --git a/R/doDBEestimantionObjUpp.R b/R/doDBEestimantionObjUpp.R
index 554ea72..109e240 100644
--- a/R/doDBEestimantionObjUpp.R
+++ b/R/doDBEestimantionObjUpp.R
@@ -8,9 +8,8 @@
 #'
 #' @examples
 #' \dontrun{
-#' H1 <-
-#' readRDS("./WKRDB-EST2/testData/output/DBErawObj/DBErawObj_DK_1966_H1.rds")
-#' H1out <- doDBEestimantionObjUpp(H1)
+#' myH1DataObject <- H1Example
+#' H1out <- RDBEScore:::doDBEestimantionObjUpp(myH1DataObject)
 #' }
 
 

From 1513068920e46ca8f51576d91d6607fc455c553d Mon Sep 17 00:00:00 2001
From: nmprista <31890653+nmprista@users.noreply.github.com>
Date: Tue, 13 Oct 2026 17:05:28 +0200
Subject: [PATCH 71/87] updated example to exported function #267

---
 R/doDBestimation.R | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/R/doDBestimation.R b/R/doDBestimation.R
index e6ac66c..690c6ac 100644
--- a/R/doDBestimation.R
+++ b/R/doDBestimation.R
@@ -22,7 +22,7 @@
 #' @examples
 #' \dontrun{
 #' data(shrimps)
-#' doDBestimation (x = shrimps, estimateType = "total",
+#' RDBEScore:::doDBestimation (x = shrimps, estimateType = "total",
 #' pointEstimator = "Unbiased", varEstimator = "WRonPSUviaPsi",stage = 0,
 #' domainOfinterest = NULL )
 #'  }

From 72f2a6042fb7ce4d55b8372ae224254957d6e59b Mon Sep 17 00:00:00 2001
From: Richard Meitern <richard.meitern@ut.ee>
Date: Tue, 13 Oct 2026 18:06:01 +0300
Subject: [PATCH 72/87] #268 the upper table has the same amount of rows as the
 request

---
 R/upperTblData.R                             | 84 +++++++++++-------
 man/detectNonExportedExamples.Rd             | 89 ++++++++++++++++++++
 man/upperTblData.Rd                          | 20 ++++-
 tests/testthat/test-getLinkedDataFromLevel.R | 58 +++++++++++--
 tests/testthat/test-upperTblData.R           | 36 +++++---
 5 files changed, 236 insertions(+), 51 deletions(-)
 create mode 100644 man/detectNonExportedExamples.Rd

diff --git a/R/upperTblData.R b/R/upperTblData.R
index 298c49b..5a7a062 100644
--- a/R/upperTblData.R
+++ b/R/upperTblData.R
@@ -21,46 +21,68 @@
 #' @return A data frame containing rows from an upper table that match the
 #'  provided values for the specified field.
 #'
+#' @section Development review:
+#' - AI-assisted: Yes
+#' - Human review: rix133
+#'
 #' @examples
 #' # it is important to run these functions only on sorted RDBESDataObject
 #' RDBEScore:::upperTblData("SAid", c(1), sort(H8ExampleEE1), "DE", verbose = TRUE)
 #' DE <- data.table::data.table(DEid = c(1, 2))
 #' SD <- data.table::data.table(SDid = c(1, 2), DEid = c(1, 2))
-#' VS <- data.table::data.table(VSid = c(1, 2),SDid =c(1,2),  value = c(10, 20))
+#' VS <- data.table::data.table(VSid = c(1, 2),SDid =c(1,2),  VSvalue = c(10, 20))
 #' tbls <- list(DE = DE, SD = SD, VS = VS)
 #' RDBEScore:::upperTblData("VSid", c(1), tbls, "DE")
 #' @keywords internal
-upperTblData <- function(field, values, tbls, level, verbose = FALSE){
-  #check if tables are of correct type
-  if(!is.list(tbls)) stop("tbls must be a list")
-  if(!level %in% names(tbls)) stop(level, " must be a character string in the names of the tables")
+upperTblData <- function(field, values, tbls, level, verbose = FALSE,
+                         requestedField = field, requestedValues = values) {
+
+  if (!is.list(tbls)) stop("tbls must be a list")
+  if (!level %in% names(tbls)) stop("Missing table in data: ", level)
+
+  current <- substr(field, 1, 2)
+  i <- match(current, names(tbls))
+  if (is.na(i)) stop("Missing table: ", current)
+
+  # Keep track of original requested IDs
+  mapping <- unique(data.table::data.table(
+    .currentValue = values,
+    .requestedValue = requestedValues
+  ))
+
+  # Match rows at the current level
+  result <- merge(mapping, tbls[[current]],
+                  by.x = ".currentValue", by.y = field,
+                  sort = FALSE, allow.cartesian = TRUE)
+
+  # Continue recursively until the target level is reached
+  if (current != level) {
+    if (verbose) message(current, ": ", paste(values, collapse = ", "))
 
-  start <- substr(field, start=1, stop=2)
-  if(start == level){
-    res <- tbls[[level]]
-    return(res[get(field) %in% values,])
+    # Find the nearest preceding non-empty table
+    candidates <- seq_len(i - 1L)
+    candidates <- candidates[vapply(tbls[candidates], NROW, integer(1)) > 0L]
+    if (!length(candidates)) stop("No upper table found for ", current)
+
+    parentField <- paste0(names(tbls)[max(candidates)], "id")
+
+    return(upperTblData(
+      parentField, result[[parentField]], tbls, level,
+      verbose, requestedField, result[[".requestedValue"]]
+    ))
   }
-  tbl <- tbls[[start]]
-  currTbl <- which(start == names(tbls))
-  if(verbose){
-    print(paste0(start,": ", paste0(values, collapse = ", ")))
+
+  # Restore column names at the target level
+  data.table::setnames(result, ".currentValue", field)
+
+  if (requestedField %in% names(result)) {
+    result[, .requestedValue := NULL]
+  } else {
+    data.table::setnames(result, ".requestedValue", requestedField)
+    data.table::setcolorder(
+      result, c(requestedField, setdiff(names(result), requestedField))
+    )
   }
-  #skip NULL tables
-  tc <- -1
-  prevTbl <- names(tbls)[currTbl+tc]
-  tryCatch({
-    while(is.null(tbls[[prevTbl]]) || nrow(tbls[[prevTbl]]) == 0){
-      if(verbose){
-        print(paste0("Skipping: ", prevTbl))
-      }
-      tc <- tc - 1
-      if((currTbl+tc) < 1) stop("No table found")
-      prevTbl <- names(tbls)[currTbl+tc]
-    }
-  }, error = function(e) {
-    stop("Error in linking tables ", names(tbls)[currTbl], " and ",prevTbl)
-  })
-  prevTblfield <-  paste0(names(tbls)[currTbl+tc], "id")
-  prevTblvalues <- tbl[get(field) %in% values, get(prevTblfield)]
-  upperTblData(prevTblfield,prevTblvalues, tbls[1:currTbl], level, verbose)
+
+  result
 }
diff --git a/man/detectNonExportedExamples.Rd b/man/detectNonExportedExamples.Rd
new file mode 100644
index 0000000..5a48099
--- /dev/null
+++ b/man/detectNonExportedExamples.Rd
@@ -0,0 +1,89 @@
+% Generated by roxygen2: do not edit by hand
+% Please edit documentation in R/detectNonExportedExamples.R
+\name{detectNonExportedExamples}
+\alias{detectNonExportedExamples}
+\title{Detect Non-Exported Functions Used in Package Examples}
+\usage{
+detectNonExportedExamples(pkgPath)
+}
+\arguments{
+\item{pkgPath}{Character string specifying the path to the root directory
+of an R package source tree. The directory should contain \file{man/},
+\file{R/}, and \file{NAMESPACE}.}
+}
+\value{
+A data frame with one row per detected call and the following
+columns:
+\describe{
+\item{topic}{Name of the Rd documentation topic in which the call
+was detected, usually the filename without the \file{.Rd} extension.}
+\item{function_name}{Name of the non-exported function detected in
+the example.}
+\item{call_type}{Type of call: \code{unqualified} for a direct
+function call, or \code{explicit :::} for an explicitly
+namespace-qualified call using the triple-colon operator.}
+\item{defined_in_package}{Logical value indicating whether the
+function was found among the function definitions detected in the
+package's \file{R/} source files.}
+}
+
+If no matching calls are found, an empty data frame with these columns
+is returned.
+}
+\description{
+Scans the \file{man/} directory of an R package and identifies calls to
+non-exported functions in the examples sections of its Rd documentation.
+Function definitions are collected from the package's \file{R/} directory,
+and exported function names are read from the package's
+\file{NAMESPACE} file.
+}
+\details{
+The function does not execute examples. It parses the documentation and
+source files to identify candidate calls to non-exported functions.
+
+The function identifies two types of calls:
+\itemize{
+\item Unqualified calls to functions defined in the package source
+that are not listed as exports in \file{NAMESPACE}.
+\item Calls using \code{pkg:::fun()}, where \code{pkg} matches the
+package directory name and \code{fun} is not exported.
+}
+
+The \code{defined_in_package} column is based on static inspection of
+source files. A value of \code{FALSE} for an explicitly qualified call
+means that a matching direct function definition was not found. This
+does not necessarily mean that the function is absent; it may be generated
+dynamically or defined in a form not recognized by the detector.
+
+The analysis is static and may not identify calls created dynamically
+through mechanisms such as \code{get()}, \code{assign()}, or
+metaprogramming. It also relies on the package's source files and
+\file{NAMESPACE} being consistent with the documentation being inspected.
+}
+\section{Development review}{
+
+\itemize{
+\item AI-assisted: Yes
+\item Review:
+\item Notes/scope: not really reviewed, just worked when needed and could be useful
+in the future
+}
+}
+
+\examples{
+\dontrun{
+# Scan a local package source directory
+issues <- detectNonExportedExamples("path/to/package")
+
+# Display all detected calls
+print(issues)
+
+# Inspect calls whose definitions were not found in the source
+subset(issues, defined_in_package == FALSE)
+}
+
+}
+\seealso{
+\code{\link[tools:parse_Rd]{tools::parse_Rd()}}, \code{\link[tools:Rd2ex]{tools::Rd2ex()}}
+}
+\keyword{internal}
diff --git a/man/upperTblData.Rd b/man/upperTblData.Rd
index 1ae01aa..bfcb01e 100644
--- a/man/upperTblData.Rd
+++ b/man/upperTblData.Rd
@@ -4,7 +4,15 @@
 \alias{upperTblData}
 \title{Get Field from Upper Table}
 \usage{
-upperTblData(field, values, tbls, level, verbose = FALSE)
+upperTblData(
+  field,
+  values,
+  tbls,
+  level,
+  verbose = FALSE,
+  requestedField = field,
+  requestedValues = values
+)
 }
 \arguments{
 \item{field}{A character string specifying the field to get.}
@@ -34,12 +42,20 @@ values and returns the result.
 NB! running on the RDBESDataObject will work properly if it is sorted by default the tables are not
 in the correct order for a spesific hierarchy.
 }
+\section{Development review}{
+
+\itemize{
+\item AI-assisted: Yes
+\item Human review: rix133
+}
+}
+
 \examples{
 # it is important to run these functions only on sorted RDBESDataObject
 RDBEScore:::upperTblData("SAid", c(1), sort(H8ExampleEE1), "DE", verbose = TRUE)
 DE <- data.table::data.table(DEid = c(1, 2))
 SD <- data.table::data.table(SDid = c(1, 2), DEid = c(1, 2))
-VS <- data.table::data.table(VSid = c(1, 2),SDid =c(1,2),  value = c(10, 20))
+VS <- data.table::data.table(VSid = c(1, 2),SDid =c(1,2),  VSvalue = c(10, 20))
 tbls <- list(DE = DE, SD = SD, VS = VS)
 RDBEScore:::upperTblData("VSid", c(1), tbls, "DE")
 }
diff --git a/tests/testthat/test-getLinkedDataFromLevel.R b/tests/testthat/test-getLinkedDataFromLevel.R
index 56cc3d0..9c68ce5 100644
--- a/tests/testthat/test-getLinkedDataFromLevel.R
+++ b/tests/testthat/test-getLinkedDataFromLevel.R
@@ -33,10 +33,8 @@ test_that("Retrieve data from VS based on BVfishId", {
   # Check that the result is a data.table (or other expected data structure)
   expect_s3_class(result, "data.table")
 
-  # Check that the result contains data (you can adjust this depending on known expected results)
-  expect_equal(nrow(result), 1)
-
-  # Optionally, check for specific values in the result
+  expect_equal(nrow(result), 2)
+  expect_setequal(result$BVfishId, c("410472143", "410472144"))
 
 })
 
@@ -108,8 +106,8 @@ test_that("Retrieve data from VS based on BVfishId if There is an empty intermed
   # Check that the result is a data.table (or other expected data structure)
   expect_s3_class(result, "data.table")
 
-  # Check that the result contains data (you can adjust this depending on known expected results)
-  expect_equal(nrow(result), 1)
+  expect_equal(nrow(result), 2)
+  expect_setequal(result$BVfishId, c("410472143", "410472144"))
 
   #check also downwards direction
   res2 <- getLinkedDataFromLevel("DEid", c(1), h8, "BV")
@@ -118,6 +116,54 @@ test_that("Retrieve data from VS based on BVfishId if There is an empty intermed
   expect_equal(nrow(res2), 3995)
 })
 
+test_that("Retrieve data from DE based on BVid retains the BVid field", {
+  result <- getLinkedDataFromLevel("BVid", c(1), H8ExampleEE1, "DE")
+
+  # Check that the result is a data.table (or other expected data structure)
+  expect_s3_class(result, "data.table")
+
+  # Check that the result has 1 row, as expected
+  expect_equal(nrow(result), 1)
+
+  # Check that the result has the correct field
+  expect_true("BVid" %in% names(result))
+
+  # Check that the BVid field has the correct value
+  expect_equal(result$BVid, 1)
+})
+
+test_that("Retrieve data from TE based on DEid retains the DEid field", {
+  result <- getLinkedDataFromLevel("DEid", c(1), H8ExampleEE1, "TE")
+
+  # Check that the result is a data.table (or other expected data structure)
+  expect_s3_class(result, "data.table")
+
+  # Check that the result has 1 row, as expected
+  expect_equal(nrow(result), 11)
+
+  # Check that the result has the correct field
+  expect_true("DEid" %in% names(result))
+
+  # Check that the DEid field has the correct value
+  expect_equal(result$DEid, c(1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1))
+})
+
+test_that("Retrieve data from FO based on DEid retains the DEid field", {
+  result <- getLinkedDataFromLevel("DEid", c(5351,5393), H1Example, "FO")
+
+  # Check that the result is a data.table (or other expected data structure)
+  expect_s3_class(result, "data.table")
+
+  # Check that the result has 1 row, as expected
+  expect_equal(nrow(result), 320)
+
+  # Check that the result has the correct field
+  expect_true("DEid" %in% names(result))
+
+  # Check that the DEid field has the correct value
+  expect_equal(result$DEid, c(rep(5351, 300), rep(5393, 20)))
+})
+
 })
 
 
diff --git a/tests/testthat/test-upperTblData.R b/tests/testthat/test-upperTblData.R
index fed699b..44ed215 100644
--- a/tests/testthat/test-upperTblData.R
+++ b/tests/testthat/test-upperTblData.R
@@ -1,12 +1,17 @@
+# AI-assisted: No
+# Review: rix133
+capture.output({  ## suppresses printing of console output when running test()
+
+
 DE <- data.table(DEid = c(1, 2))
 SD <- data.table(SDid = c(1, 2), DEid = c(1, 2))
-VS <- data.table(VSid = c(1, 2), SDid = c(1, 2), value = c(10, 20))
+VS <- data.table(VSid = c(1, 2), SDid = c(1, 2), VSvalue = c(10, 20))
 tbls <- list(DE = DE, SD = SD, VS = VS)
 
 test_that("upperTblData returns correct data for VSid = 1", {
 
   result <- upperTblData("VSid", c(1), tbls, "DE")
-  expected <- data.table(DEid = 1)
+  expected <- data.table(VSid = 1, DEid = 1)
 
   expect_equal(result, expected)
 })
@@ -14,7 +19,7 @@ test_that("upperTblData returns correct data for VSid = 1", {
 test_that("upperTblData returns correct data for VSid = 2", {
 
   result <- upperTblData("VSid", c(2), tbls, "DE")
-  expected <- data.table(DEid = 2)
+  expected <- data.table(VSid = 2, DEid = 2)
 
   expect_equal(result, expected)
 })
@@ -22,7 +27,7 @@ test_that("upperTblData returns correct data for VSid = 2", {
 test_that("upperTblData handles non-existent VSid", {
 
   result <- upperTblData("VSid", c(3), tbls, "DE")
-  expected <- data.table(DEid = integer(0))
+  expected <- data.table(VSid = integer(0), DEid = integer(0))
 
   expect_equal(result, expected)
 })
@@ -31,24 +36,31 @@ test_that("upperTblData works with RDBESDataObjects", {
 
   result <- upperTblData("SAid", c(1, 2), H8ExampleEE1, "TE")
 
-  expect_equal((nrow(result)), 1)
-  expect_equal((result$TEid), 1)
+  expect_equal(nrow(result), 2)
+  expect_equal(result$SAid, c(1, 2))
+  expect_equal(result$TEid, c(1, 1))
 })
 
 test_that("upperTblData works with sorted RDBESDataObjects", {
 
   result <- upperTblData("SAid", c(1, 2), sort(H8ExampleEE1), "DE")
 
-  expect_equal((nrow(result)), 1)
-  expect_equal((result$DEid), 1)
+  expect_equal(nrow(result), 2)
+  expect_equal(result$SAid, c(1, 2))
+  expect_equal(result$DEid, c(1, 1))
 })
 
-test_that("upperTblData throws error for incorrect tbls type", {
-  expect_error(upperTblData("VSid", c(1), list(DE = 1, SD = 2, VS = 3), "DE"), "Error in linking tables VS and SD")
-})
 
 test_that("upperTblData throws error for incorrect level", {
 
-  expect_error(upperTblData("VSid", c(1), tbls, "XX"), "XX must be a character string in the names of the tables")
+  expect_error(upperTblData("VSid", c(1), tbls, "XX"), "Missing table in data: XX")
 })
 
+test_that("upperTblData has the in about the several rows requested also in the result", {
+
+  result <- upperTblData("VSvalue", c(10,20), tbls, "DE")
+  expected <- data.table(VSvalue = c(10,20), DEid = c(1,2))
+
+  expect_equal(result, expected)
+})
+})

From dffb272d7057199a31932c85d7483dbacf0ab35c Mon Sep 17 00:00:00 2001
From: nmprista <31890653+nmprista@users.noreply.github.com>
Date: Tue, 13 Oct 2026 17:09:37 +0200
Subject: [PATCH 73/87] added call to data # 267

---
 R/doEstimationForAllStrata.R | 1 +
 1 file changed, 1 insertion(+)

diff --git a/R/doEstimationForAllStrata.R b/R/doEstimationForAllStrata.R
index fffe508..9434037 100644
--- a/R/doEstimationForAllStrata.R
+++ b/R/doEstimationForAllStrata.R
@@ -12,6 +12,7 @@
 #' @examples
 #' \dontrun{
 #'
+#' data("H1Example")
 #' myH1DataObject <- H1Example
 #'
 #' # Update our test data with some random sample measurements

From 5db5b443aa1302a5cc498d876abe8daaefc7f706 Mon Sep 17 00:00:00 2001
From: nmprista <31890653+nmprista@users.noreply.github.com>
Date: Tue, 13 Oct 2026 17:10:09 +0200
Subject: [PATCH 74/87] updated example to exported function and data sets now
 available #267

---
 R/filterRDBESDataObject.R | 10 +++++-----
 1 file changed, 5 insertions(+), 5 deletions(-)

diff --git a/R/filterRDBESDataObject.R b/R/filterRDBESDataObject.R
index f2839b1..babd224 100644
--- a/R/filterRDBESDataObject.R
+++ b/R/filterRDBESDataObject.R
@@ -29,13 +29,13 @@
 #' @examples
 #' \dontrun{
 #'
-#' myH1RawObject <-
-#'   importRDBESDataCSV(rdbesExtractPath = "tests\\testthat\\h1_v_1_19")
+#' data("H1Example")
+#' myH1DataObject <- H1Example
 #'
 #' myFields <- c("SDctry", "VDctry", "VDflgCtry", "FTarvLoc")
 #' myValues <- c("ZW", "ZWBZH", "ZWVFA")
 #'
-#' myFilteredObject <- filterRDBESDataObject(myH1RawObject,
+#' myFilteredObject <- filterRDBESDataObject(myH1DataObject,
 #'   fieldsToFilter = myFields,
 #'   valuesToFilter = myValues
 #' )
@@ -43,10 +43,10 @@
 #' # Inverse filtering (exclude certain values)
 #' # Example: keep all DE rows except those with DEid in `excludedValues`
 #' # Compute the complement of the excluded set using setdiff
-#' allValues <- unique(myH1RawObject$DE$DEid)
+#' allValues <- unique(myH1DataObject$DE$DEid)
 #' excludedValues <- c(5351)
 #' myInverseFiltered <- filterRDBESDataObject(
-#'   myH1RawObject,
+#'   myH1DataObject,
 #'   fieldsToFilter = "DEid",
 #'   valuesToFilter = setdiff(allValues, excludedValues)
 #' )

From a3df2c596f89a97f81ddcb4c629d4c225251d47b Mon Sep 17 00:00:00 2001
From: nmprista <31890653+nmprista@users.noreply.github.com>
Date: Tue, 13 Oct 2026 17:12:06 +0200
Subject: [PATCH 75/87] updated example to exported function and data sets now
 available #267

---
 R/findAndKillOrphans.R | 6 +++---
 1 file changed, 3 insertions(+), 3 deletions(-)

diff --git a/R/findAndKillOrphans.R b/R/findAndKillOrphans.R
index d3afcef..f839499 100644
--- a/R/findAndKillOrphans.R
+++ b/R/findAndKillOrphans.R
@@ -19,11 +19,11 @@
 #' @examples
 #' \dontrun{
 #'
-#' myH1RawObject <-
-#' importRDBESDataCSV(rdbesExtractPath = "tests\\testthat\\h1_v_1_19")
+#' data("H1Example")
+#' myH1DataObject <- H1Example
 #' myFields <- c("SDctry","VDctry","VDflgCtry","FTarvLoc")
 #' myValues <- c("ZW","ZWBZH","ZWVFA" )
-#' myFilteredObject <- filterRDBESDataObject(myH1RawObject,
+#' myFilteredObject <- filterRDBESDataObject(myH1DataObject,
 #'                                         fieldsToFilter = myFields,
 #'                                         valuesToFilter = myValues )
 #' myObjectNoOrphans <- findAndKillOrphans(objectToCheck = myFilteredObject,

From 944592eed8081ea6f32f383e125faf159679ad5a Mon Sep 17 00:00:00 2001
From: nmprista <31890653+nmprista@users.noreply.github.com>
Date: Tue, 13 Oct 2026 17:14:52 +0200
Subject: [PATCH 76/87] updated example to exported/imported functions #267

---
 R/generateTestTables.R | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/R/generateTestTables.R b/R/generateTestTables.R
index 3848b98..6c42e16 100644
--- a/R/generateTestTables.R
+++ b/R/generateTestTables.R
@@ -74,8 +74,8 @@ makeTbl <- function(tblName,
 #'
 #' @examples
 #' \dontrun{
-#' generateTestTbls(c("A", "B", "C"), selMeth = "SRSWOR")
-#' generateTestTbls(LETTERS[1:5]) # makes 5 tables with method CENSUS
+#' RDBEScore:::generateTestTbls(c("A", "B", "C"), selMeth = "SRSWOR")
+#' RDBEScore:::generateTestTbls(LETTERS[1:5]) # makes 5 tables with method CENSUS
 #' }
 generateTestTbls <- function(tblNames, prevTbls = list(), ...) {
   tbl <- makeTbl(tblNames[1], prevTbls, ...)

From ca858c4505f1aa58a370dd147173d04779757e62 Mon Sep 17 00:00:00 2001
From: nmprista <31890653+nmprista@users.noreply.github.com>
Date: Tue, 13 Oct 2026 17:18:16 +0200
Subject: [PATCH 77/87] updated examples to data sets now available #267

---
 R/removeBrokenSpeciesListLinks.R | 6 +++---
 R/removeBrokenVesselLinks.R      | 6 +++---
 2 files changed, 6 insertions(+), 6 deletions(-)

diff --git a/R/removeBrokenSpeciesListLinks.R b/R/removeBrokenSpeciesListLinks.R
index 8f9c9bc..a1d1334 100644
--- a/R/removeBrokenSpeciesListLinks.R
+++ b/R/removeBrokenSpeciesListLinks.R
@@ -18,11 +18,11 @@
 #' @examples
 #' \dontrun{
 #'
-#' myH1RawObject <-
-#'   importRDBESDataCSV(rdbesExtractPath = "tests\\testthat\\h1_v_1_19")
+#' data("H1Example")
+#' myH1DataObject <- H1Example
 #' myFields <- c("SLspeclistName")
 #' myValues <- c("WGRDBES-EST TEST 5 - sprat data")
-#' myFilteredObject <- filterRDBESDataObject(myH1RawObject,
+#' myFilteredObject <- filterRDBESDataObject(myH1DataObject,
 #'   fieldsToFilter = myFields,
 #'   valuesToFilter = myValues
 #' )
diff --git a/R/removeBrokenVesselLinks.R b/R/removeBrokenVesselLinks.R
index 541b10d..fa37efd 100644
--- a/R/removeBrokenVesselLinks.R
+++ b/R/removeBrokenVesselLinks.R
@@ -16,11 +16,11 @@
 #' @examples
 #' \dontrun{
 #'
-#' myH1RawObject <-
-#'   importRDBESDataCSV(rdbesExtractPath = "tests\\testthat\\h1_v_1_19")
+#' data("H1Example")
+#' myH1DataObject <- H1Example
 #' myFields <- c("VDlenCat")
 #' myValues <- c("18-<24")
-#' myFilteredObject <- filterRDBESDataObject(myH1RawObject,
+#' myFilteredObject <- filterRDBESDataObject(myH1DataObject,
 #'   fieldsToFilter = myFields,
 #'   valuesToFilter = myValues
 #' )

From a15cef68a97c910a74f1883b4e261e156482e96c Mon Sep 17 00:00:00 2001
From: Richard Meitern <richard.meitern@ut.ee>
Date: Tue, 13 Oct 2026 20:29:01 +0300
Subject: [PATCH 78/87] #268 both directions have similar output

---
 NEWS.md                                       |   1 +
 R/getLinkedDataFromLevel.R                    |   4 +-
 R/getLowerTableSubsets.R                      |  12 +-
 R/lowerTblData.R                              | 114 ++++++++----------
 R/upperTblData.R                              |   5 +-
 man/getLinkedDataFromLevel.Rd                 |   4 +-
 man/getLowerTableSubsets.Rd                   |   9 ++
 man/lowerTblData.Rd                           |  31 ++++-
 man/upperTblData.Rd                           |   6 +-
 tests/testthat/test-getLinkedDataFromLevel.R  |  30 +++++
 tests/testthat/test-getLowerTableSubsets.R    |  25 ++--
 tests/testthat/test-lowerTblData.R            |  71 ++++++++++-
 tests/testthat/test-upperTblData.R            |  31 ++++-
 .../v01b-manipulating-rdbesdataobjects.Rmd    |   4 +-
 14 files changed, 256 insertions(+), 91 deletions(-)

diff --git a/NEWS.md b/NEWS.md
index c3d3cb8..e19f2e4 100644
--- a/NEWS.md
+++ b/NEWS.md
@@ -1,4 +1,5 @@
 # RDBEScore 0.4.0
+- Breaking: `getLinkedDataFromLevel()` now returns the requested field and target-table columns in both directions, without adding intermediate hierarchy ids (#268). Non-id requested fields are retained when going down the hierarchy. `getLowerTableSubsets()` avoids duplicated requested-field columns.
 - Package README updated with AI usage guidelines
 - Dependencies: removed `dplyr` from Imports. Joins now use the internal `data.table` helper `joinDT()`, which keeps dplyr's row order, column order and `.x`/`.y` suffixes, so results are unchanged; `filterRDBESEstObject()` and the vignette use base R/`data.table` instead of dplyr.
 - Bug fix: addressed [#259](https://github.com/ices-tools-dev/RDBEScore/issues/259) selecting multiple strata with `addCLtoLowerCS()`
diff --git a/R/getLinkedDataFromLevel.R b/R/getLinkedDataFromLevel.R
index c9afa17..7827777 100644
--- a/R/getLinkedDataFromLevel.R
+++ b/R/getLinkedDataFromLevel.R
@@ -8,7 +8,9 @@
 #' @param level A character string specifying the target table level from which to retrieve linked data. This must be one of the names within the `rdbesTables` object.
 #' @param verbose Logical flag indicating whether to print detailed information about the data retrieval process. Default is `FALSE`.
 #'
-#' @return  The subset of the table at the specified `level`.
+#' @return A data.table containing the requested `field` and all columns of the
+#'   table at `level`, with one row per unique requested value and linked record.
+#'   Intermediate hierarchy IDs are not added. Column order is not guaranteed.
 #'
 #' @examples
 #' \dontrun{
diff --git a/R/getLowerTableSubsets.R b/R/getLowerTableSubsets.R
index fe16900..2d8b7b9 100644
--- a/R/getLowerTableSubsets.R
+++ b/R/getLowerTableSubsets.R
@@ -21,6 +21,11 @@
 #' the values from each subset in the upper tables. It then ensures that only unique rows are returned,
 #' based on the ID column of the target table.
 #'
+#' @section Development review:
+#' - AI-assisted: Yes
+#' - Review: rix133
+#' @keywords internal
+#'
 getLowerTableSubsets <- function(subsets, tblName, rdbesTables, combineStrata = TRUE, verbose = FALSE) {
   res <- list()
   # Process each subset
@@ -66,8 +71,13 @@ getLowerTableSubsets <- function(subsets, tblName, rdbesTables, combineStrata =
    stop("combineStrata must be TRUE for now")
   }
 
+  # Linked data carries the requested fields - replace them by the strata values below
+  addedFields <- setdiff(names(subsets), names(rdbesTables[[tblName]]))
+  res <- res[, setdiff(names(res), addedFields), with = FALSE]
+  subsets <- subsets[addedFields]
+
   # Combine the data with the strata subsets
-  res <- cbind(res, as.data.frame(subsets))
+  if(length(subsets) > 0) res <- cbind(res, as.data.frame(subsets))
 
   return(res)
 }
diff --git a/R/lowerTblData.R b/R/lowerTblData.R
index 7512b3b..2f243fb 100644
--- a/R/lowerTblData.R
+++ b/R/lowerTblData.R
@@ -11,12 +11,18 @@
 #' @param tbls A named list of data frames representing the tables.
 #' @param level A character string specifying the name of the target lower level table.
 #' @param verbose A logical value indicating whether to print intermediate levels during recursion.
-#' @param path_order Internal: character vector tracking the traversal path of IDs during
-#'   recursion to preserve a stable column order in the returned result. Users should not
-#'   normally set this; it is maintained by recursive calls (default NULL).
+#' @param requestedField Internal: the originally requested field, carried
+#'   through the recursion (default `field`).
+#' @param requestedValues Internal: the originally requested value belonging to
+#'   each element of `values`, carried through the recursion (default `values`).
 #'
-#' @return A data frame containing the rows of the target lower level table that are associated with
-#'   the given values of the upper table field.
+#' @return A data.table with the originally requested field and all columns of
+#'   the `level` table. No intermediate hierarchy IDs are added. It has one row
+#'   per unique requested value and linked `level` record.
+#'
+#' @section Development review:
+#' - AI-assisted: Yes
+#' - Review: rix133
 #'
 #' @examples
 #' # it is important to run the function only on the sorted RDBESDataObject
@@ -31,73 +37,53 @@
 #'
 #' RDBEScore:::lowerTblData("TEid", c(4), tblsSprat, "LE", TRUE)
 #' @keywords internal
-lowerTblData <- function(field, values, tbls, level, verbose = FALSE, path_order = NULL) {
-  if(!is.list(tbls)) stop("tbls must be a list")
+lowerTblData <- function(field, values, tbls, level, verbose = FALSE,
+                         requestedField = field, requestedValues = values) {
+  if (!is.list(tbls)) stop("tbls must be a list")
+  if (!level %in% names(tbls)) stop("Missing table in data: ", level)
 
-  start <- substr(field, start = 1, stop = 2)
-  if (start == level) {
-    res <- tbls[[level]]
-    return(res[get(field) %in% values])
-  }
-  currTbl <- which(start == names(tbls))
+  current <- substr(field, 1, 2)
+  i <- match(current, names(tbls))
+  if (is.na(i)) stop("Missing table: ", current)
 
-  # assumes tables are in correct order and no empty tables
-  tc <- 1
-  nextTbl <- tbls[[currTbl + tc]]
-  while (is.null(nextTbl) || nrow(nextTbl) == 0) {
-    tc <- tc + 1
-    if(currTbl + tc > length(tbls)) stop("No more lower tables found")
-    nextTbl <- tbls[[currTbl + tc]]
-  }
+  # Keep track of original requested values
+  mapping <- unique(data.table::data.table(
+    .currentValue = values,
+    .requestedValue = requestedValues
+  ))
 
-  nextTblField <- paste0(names(tbls)[currTbl + tc], "id")
-  if (verbose) {
-    cat(paste0(field, ": ", paste0(values, collapse = ", "), "\n"))
-  }
-  if (!field %in% colnames(nextTbl)) {
-    tbl <- tbls[[currTbl]]
-    curTblId <- paste0(names(tbls)[currTbl], "id")
-    values <- tbl[get(field) %in% values, get(curTblId)]
-    field <- curTblId
-  }
-
-  # Initialize and update path order to ensure the original search field stays first
-  if (is.null(path_order)) path_order <- field
-  path_order <- unique(c(path_order, nextTblField))
+  result <- merge(mapping, tbls[[current]],
+                  by.x = ".currentValue", by.y = field,
+                  sort = FALSE, allow.cartesian = TRUE)
+  data.table::setnames(result, ".currentValue", field)
 
-  # values in next table for recursion
-  nextTblValues <- nextTbl[get(field) %in% values, get(nextTblField)]
+  if (current != level) {
+    if (verbose) cat(field, ": ", paste(values, collapse = ", "), "\n", sep = "")
 
-  # NEW: build link (current id -> next id) so we can keep intermediate IDs
-  linkDT <- unique(nextTbl[get(field) %in% values,
-                           .(from = get(field), to = get(nextTblField))])
-  data.table::setnames(linkDT, c("from","to"), c(field, nextTblField))
+    # Find the nearest following non-empty table in hierarchy order
+    candidates <- seq_along(tbls)[-seq_len(i)]
+    candidates <- candidates[vapply(tbls[candidates], NROW, integer(1)) > 0L]
+    if (!length(candidates)) stop("No more lower tables found")
 
-  # recurse
-  res <- lowerTblData(nextTblField, nextTblValues, tbls, level, verbose, path_order)
+    nextName <- names(tbls)[min(candidates)]
+    idField <- paste0(current, "id")
+    nextField <- paste0(nextName, "id")
+    if (!all(c(idField, nextField) %in% names(tbls[[nextName]]))) {
+      stop("Error in linking tables ", current, " and ", nextName)
+    }
 
-  # NEW: merge link back so the current level's ID is preserved
-  # Always attach the authoritative parent id from the link.
-  # If a column with the same name already exists (from another variant), drop it first,
-  # then merge in the value derived from the current hierarchy.
-  if (field %in% names(res)) {
-    res[, (field) := NULL]
+    result <- result[, c(idField, ".requestedValue"), with = FALSE]
+    result <- merge(result, tbls[[nextName]][, c(idField, nextField), with = FALSE],
+                    by = idField, sort = FALSE, allow.cartesian = TRUE)
+    return(lowerTblData(
+      nextField, result[[nextField]], tbls, level,
+      verbose, requestedField, result[[".requestedValue"]]
+    ))
   }
-  res <- merge(
-    linkDT[, c(nextTblField, field), with = FALSE],
-    res,
-    by = nextTblField,
-    all.y = TRUE,
-    allow.cartesian = TRUE
-  )
-
-  #keep path columns toward the front with stable overall path order
-  path_cols <- intersect(path_order, names(res))
-  other_cols <- setdiff(names(res), path_cols)
-  if (length(path_cols) > 0) data.table::setcolorder(res, c(path_cols, other_cols))
 
-  # Ensure no data.table key is set on the result
-  data.table::setkeyv(res, NULL)
+  if (requestedField %in% names(result)) result[, (requestedField) := NULL]
+  data.table::setnames(result, ".requestedValue", requestedField)
+  data.table::setcolorder(result, c(requestedField, setdiff(names(result), requestedField)))
 
-  res
+  result
 }
diff --git a/R/upperTblData.R b/R/upperTblData.R
index 5a7a062..8897d6f 100644
--- a/R/upperTblData.R
+++ b/R/upperTblData.R
@@ -17,13 +17,15 @@
 #' @param tbls A named list of data frames containing tables at different levels.
 #' @param level A character string specifying the level to get data from.
 #' @param verbose (Optional) Set to TRUE if you want informative text printed
+#' @param requestedField Internal: the originally requested field.
+#' @param requestedValues Internal: the original value for each element of `values`.
 #'
 #' @return A data frame containing rows from an upper table that match the
 #'  provided values for the specified field.
 #'
 #' @section Development review:
 #' - AI-assisted: Yes
-#' - Human review: rix133
+#' - Review: rix133
 #'
 #' @examples
 #' # it is important to run these functions only on sorted RDBESDataObject
@@ -76,6 +78,7 @@ upperTblData <- function(field, values, tbls, level, verbose = FALSE,
   data.table::setnames(result, ".currentValue", field)
 
   if (requestedField %in% names(result)) {
+    data.table::set(result, j = requestedField, value = result[[".requestedValue"]])
     result[, .requestedValue := NULL]
   } else {
     data.table::setnames(result, ".requestedValue", requestedField)
diff --git a/man/getLinkedDataFromLevel.Rd b/man/getLinkedDataFromLevel.Rd
index 43f90c6..7b13510 100644
--- a/man/getLinkedDataFromLevel.Rd
+++ b/man/getLinkedDataFromLevel.Rd
@@ -18,7 +18,9 @@ getLinkedDataFromLevel(field, values, rdbesTables, level, verbose = FALSE)
 \item{verbose}{Logical flag indicating whether to print detailed information about the data retrieval process. Default is \code{FALSE}.}
 }
 \value{
-The subset of the table at the specified \code{level}.
+A data.table containing the requested \code{field} and all columns of the
+table at \code{level}, with one row per unique requested value and linked record.
+Intermediate hierarchy IDs are not added. Column order is not guaranteed.
 }
 \description{
 The \code{getLinkedDataFromLevel} function facilitates the retrieval of linked data between different levels of RDBES tables. Depending on the relative positions of the source and target tables within the \code{RDBESDataObject}, the function determines whether to traverse "up" or "down" the data hierarchy to obtain the desired linked data.
diff --git a/man/getLowerTableSubsets.Rd b/man/getLowerTableSubsets.Rd
index 6b4d576..bedde34 100644
--- a/man/getLowerTableSubsets.Rd
+++ b/man/getLowerTableSubsets.Rd
@@ -41,3 +41,12 @@ The function recursively intersects the rows of the target lower level table tha
 the values from each subset in the upper tables. It then ensures that only unique rows are returned,
 based on the ID column of the target table.
 }
+\section{Development review}{
+
+\itemize{
+\item AI-assisted: Yes
+\item Review: rix133
+}
+}
+
+\keyword{internal}
diff --git a/man/lowerTblData.Rd b/man/lowerTblData.Rd
index b022b74..6d1e87e 100644
--- a/man/lowerTblData.Rd
+++ b/man/lowerTblData.Rd
@@ -4,7 +4,15 @@
 \alias{lowerTblData}
 \title{Get lower table data from upper table id}
 \usage{
-lowerTblData(field, values, tbls, level, verbose = FALSE, path_order = NULL)
+lowerTblData(
+  field,
+  values,
+  tbls,
+  level,
+  verbose = FALSE,
+  requestedField = field,
+  requestedValues = values
+)
 }
 \arguments{
 \item{field}{A character string specifying the name of the upper table field.}
@@ -17,13 +25,16 @@ lowerTblData(field, values, tbls, level, verbose = FALSE, path_order = NULL)
 
 \item{verbose}{A logical value indicating whether to print intermediate levels during recursion.}
 
-\item{path_order}{Internal: character vector tracking the traversal path of IDs during
-recursion to preserve a stable column order in the returned result. Users should not
-normally set this; it is maintained by recursive calls (default NULL).}
+\item{requestedField}{Internal: the originally requested field, carried
+through the recursion (default \code{field}).}
+
+\item{requestedValues}{Internal: the originally requested value belonging to
+each element of \code{values}, carried through the recursion (default \code{values}).}
 }
 \value{
-A data frame containing the rows of the target lower level table that are associated with
-the given values of the upper table field.
+A data.table with the originally requested field and all columns of
+the \code{level} table. No intermediate hierarchy IDs are added. It has one row
+per unique requested value and linked \code{level} record.
 }
 \description{
 This function takes an upper table field name, values for that field, a list of tables,
@@ -32,6 +43,14 @@ that are associated with the given values of the upper table field.
 NB! running on the RDBESDataObject will work properly if it is sorted by default the tables are not
 in the correct order for a specific hierarchy.
 }
+\section{Development review}{
+
+\itemize{
+\item AI-assisted: Yes
+\item Review: rix133
+}
+}
+
 \examples{
 # it is important to run the function only on the sorted RDBESDataObject
 RDBEScore:::lowerTblData("TEid", c(4), sort(H8ExampleEE1), "SA", TRUE)
diff --git a/man/upperTblData.Rd b/man/upperTblData.Rd
index bfcb01e..2a4f61a 100644
--- a/man/upperTblData.Rd
+++ b/man/upperTblData.Rd
@@ -24,6 +24,10 @@ upperTblData(
 \item{level}{A character string specifying the level to get data from.}
 
 \item{verbose}{(Optional) Set to TRUE if you want informative text printed}
+
+\item{requestedField}{Internal: the originally requested field.}
+
+\item{requestedValues}{Internal: the original value for each element of \code{values}.}
 }
 \value{
 A data frame containing rows from an upper table that match the
@@ -46,7 +50,7 @@ in the correct order for a spesific hierarchy.
 
 \itemize{
 \item AI-assisted: Yes
-\item Human review: rix133
+\item Review: rix133
 }
 }
 
diff --git a/tests/testthat/test-getLinkedDataFromLevel.R b/tests/testthat/test-getLinkedDataFromLevel.R
index 9c68ce5..83d5877 100644
--- a/tests/testthat/test-getLinkedDataFromLevel.R
+++ b/tests/testthat/test-getLinkedDataFromLevel.R
@@ -164,6 +164,36 @@ test_that("Retrieve data from FO based on DEid retains the DEid field", {
   expect_equal(result$DEid, c(rep(5351, 300), rep(5393, 20)))
 })
 
+test_that("Both traversal directions return the requested field and the target columns only", {
+  # downwards: requested field is not an id
+  down <- getLinkedDataFromLevel("TEstratumName", c("January", "February"),
+                                 H8ExampleEE1, "SA")
+  expect_setequal(names(down), c("TEstratumName", names(H8ExampleEE1$SA)))
+  expect_equal(nrow(down), 6)
+  expect_equal(sort(unique(down$TEstratumName)), c("February", "January"))
+  expect_equal(anyDuplicated(down[, c("TEstratumName", "SAid")]), 0)
+
+  # upwards
+  up <- getLinkedDataFromLevel("SAid", c(1, 2), H8ExampleEE1, "TE")
+  expect_setequal(names(up), c("SAid", names(H8ExampleEE1$TE)))
+  expect_equal(up$SAid, c(1, 2))
+  expect_equal(up$TEid, c(1, 1))
+})
+
+test_that("Same-level queries follow the same output convention", {
+  result <- getLinkedDataFromLevel("TEstratumName", c("January", "February"),
+                                   H8ExampleEE1, "TE")
+
+  expect_setequal(names(result), names(H8ExampleEE1$TE))
+  expect_equal(anyDuplicated(names(result)), 0)
+  expect_equal(nrow(result), 4)
+})
+
+test_that("Linked data does not contain intermediate hierarchy ids", {
+  result <- getLinkedDataFromLevel("DEid", c(1), H8ExampleEE1, "SA")
+
+  expect_setequal(names(result), unique(c("DEid", names(H8ExampleEE1$SA))))
+})
 })
 
 
diff --git a/tests/testthat/test-getLowerTableSubsets.R b/tests/testthat/test-getLowerTableSubsets.R
index a8bcc50..9bbeebf 100644
--- a/tests/testthat/test-getLowerTableSubsets.R
+++ b/tests/testthat/test-getLowerTableSubsets.R
@@ -1,4 +1,9 @@
 
+# AI-assisted: Yes
+# Review: rix133
+capture.output({  ## suppresses printing of console output when running test()
+
+
 # Define mock data for testing
 DE <- data.frame(DEid = c(1, 2, 3, 4), SDid = c(1, 2, 3, 4))
 SD <- data.frame(SDid = c(1, 2, 3, 4), TEid = c(1, 2, 3, 4))
@@ -28,8 +33,7 @@ test_that("Function returns correct data with valid inputs", {
   res <- getLowerTableSubsets(list(TEstratumName = "January"), "SA", H8ExampleEE1, T)
 
   expect_equal(nrow(res), 3)
-  #expect last column to be "TEstratumName"
-  expect_equal(colnames(res)[ncol(res)], "TEstratumName")
+  expect_true("TEstratumName" %in% names(res))
 
 })
 
@@ -37,10 +41,7 @@ test_that("Function works with combineStrata = TRUE and collapsing strata", {
   res <- expect_warning(getLowerTableSubsets(list(TEstratumName = c("January", "February")), "SA", H8ExampleEE1, T))
 
   expect_equal(nrow(res), 6)
-  #expect last column to be "TEstratumName"
-  expect_equal(colnames(res)[ncol(res)], "TEstratumName")
-  #ecpect all values in ast column to be January|February
-  expect_equal(all(grepl("January|February", res$TEstratumName)), TRUE)
+  expect_equal(unique(res$TEstratumName), "January|February")
 
 })
 
@@ -55,9 +56,15 @@ test_that("Function handles intersection correctly", {
   res <- getLowerTableSubsets(list(TEid = 4, TEstratumName = "January"), "SA", H8ExampleEE1, T)
 
   expect_equal(nrow(res), 2)
-  #expect last column to be "TEstratumName"
-  expect_equal(colnames(res)[ncol(res)], "TEstratumName")
-  #expect value in last column to be "January"
   expect_equal(res$TEstratumName, rep("January",2))
 
 })
+
+test_that("Function does not duplicate the requested fields in the result", {
+  res <- getLowerTableSubsets(list(TEid = 4, TEstratumName = "January"), "SA", H8ExampleEE1, T)
+
+  expect_equal(anyDuplicated(colnames(res)), 0)
+  expect_equal(sum(colnames(res) == "TEstratumName"), 1)
+  expect_equal(sum(colnames(res) == "TEid"), 1)
+})
+})
\ No newline at end of file
diff --git a/tests/testthat/test-lowerTblData.R b/tests/testthat/test-lowerTblData.R
index cd29eee..f2c73d5 100644
--- a/tests/testthat/test-lowerTblData.R
+++ b/tests/testthat/test-lowerTblData.R
@@ -1,3 +1,7 @@
+# AI-assisted: Yes
+# Review: rix133
+capture.output({  ## suppresses printing of console output when running test()
+
 # Define some mock data for testing
 DE <- data.table(DEid = c(1, 2, 3, 4))
 SD <- data.table(SDid = c(1, 2, 3, 4), DEid = c(1, 2, 3, 4))
@@ -12,21 +16,21 @@ test_that("Function returns correct data for valid inputs", {
   result <- lowerTblData("TEid", c(1), tblsSprat, "LE", FALSE)
   expected <- data.table(TEid = 1, VSid = 1, LEid=1, value = 10)
 
-  expect_equal(result, expected)
+  expect_equal(result[, names(expected), with = FALSE], expected)
 })
 
 test_that("Function handles multiple values correctly", {
   result <- lowerTblData("TEid", c(1, 4), tblsSprat, "LE", FALSE)
   expected <- data.table(TEid=c(1,4) ,VSid = c(1, 4),LEid=c(1,4) , value = c(10, 4))
 
-  expect_equal(result, expected)
+  expect_equal(result[, names(expected), with = FALSE], expected)
 })
 
 test_that("Function handles non-existent field gracefully", {
   result <- lowerTblData("TEid", c(99), tblsSprat, "LE", FALSE)
   expected <- data.table(TEid = integer(),VSid = integer(), LEid=integer() , value = integer())
 
-  expect_equal(result, expected)
+  expect_equal(result[, names(expected), with = FALSE], expected)
 })
 
 test_that("Function works with printLevels = TRUE", {
@@ -35,9 +39,65 @@ test_that("Function works with printLevels = TRUE", {
 
 test_that("Recursive functionality works", {
   result <- lowerTblData("SDid", c(1), tblsSprat, "LE", FALSE)
-  expected <- data.table(SDid = 1, TEid = 1,  VSid = 1, LEid=1, value = 10)
+  expected <- data.table(SDid = 1, VSid = 1, LEid = 1, value = 10)
+
+  expect_setequal(names(result), names(expected))
+  expect_equal(result[, names(expected), with = FALSE], expected)
+})
+
+test_that("Intermediate hierarchy ids are not added to the result", {
+  result <- lowerTblData("DEid", c(1), tblsSprat, "LE", FALSE)
+
+  expect_setequal(names(result), c("DEid", names(LE)))
+})
+
+test_that("A non-id requested field is retained with its linked records", {
+  TEnamed <- data.table(TEid = c(1, 2, 3, 4), SDid = c(1, 2, 3, 4),
+                        TEstratumName = c("Jan", "Feb", "Jan", "Mar"))
+  tbls <- list(DE = DE, SD = SD, TE = TEnamed, VS = VS, LE = LE)
+
+  result <- lowerTblData("TEstratumName", c("Jan", "Feb"), tbls, "LE", FALSE)
+  result <- result[order(LEid)]
+
+  expect_setequal(names(result), c("TEstratumName", names(LE)))
+  expect_equal(result$LEid, c(1, 2, 3))
+  expect_equal(result$TEstratumName, c("Jan", "Feb", "Jan"))
+})
+
+test_that("Repeated requested values do not duplicate target records", {
+  result <- lowerTblData("TEid", c(1, 1), tblsSprat, "LE", FALSE)
+
+  expect_equal(nrow(result), 1)
+})
+
+test_that("The requested value replaces an unused target field", {
+  result <- getLinkedDataFromLevel("LEid", 5, H8ExampleEE1, "SA")
+
+  expect_equal(result$SAid, 5)
+  expect_equal(result$LEid, 5)
+})
+
+test_that("Same-level queries retain the target columns without duplication", {
+  result <- lowerTblData("VSid", c(2, 3), tblsSprat, "VS", FALSE)
+
+  expect_setequal(names(result), names(VS))
+  expect_equal(anyDuplicated(names(result)), 0)
+  expect_equal(result$VSid, c(2, 3))
+})
+
+test_that("Empty intermediate tables are skipped", {
+  tbls <- list(DE = DE, SD = SD, TE = TE, VS = VS[0], LE = data.table(TEid = 1:4, LEid = 1:4))
+  result <- lowerTblData("SDid", c(2), tbls, "LE", FALSE)
+
+  expect_setequal(names(result), c("SDid", "TEid", "LEid"))
+  expect_equal(result$LEid, 2)
+})
+
+test_that("Linking fails clearly when the tables cannot be joined", {
+  tbls <- list(DE = DE, SD = SD, TE = TE, VS = data.table(VSid = 1:4), LE = LE)
 
-  expect_equal(result, expected)
+  expect_error(lowerTblData("TEid", c(1), tbls, "LE", FALSE),
+               "Error in linking tables TE and VS")
 })
 
 # Test when lower table has no match
@@ -60,3 +120,4 @@ test_that("Function works with sorted RDBESdataObjects", {
 test_that("Function handles invalid inputs gracefully", {
   expect_error(lowerTblData("invalidField", c(1), tblsSprat, "LE", FALSE))
 })
+})
\ No newline at end of file
diff --git a/tests/testthat/test-upperTblData.R b/tests/testthat/test-upperTblData.R
index 44ed215..a042f67 100644
--- a/tests/testthat/test-upperTblData.R
+++ b/tests/testthat/test-upperTblData.R
@@ -1,4 +1,4 @@
-# AI-assisted: No
+# AI-assisted: Yes
 # Review: rix133
 capture.output({  ## suppresses printing of console output when running test()
 
@@ -63,4 +63,33 @@ test_that("upperTblData has the in about the several rows requested also in the
 
   expect_equal(result, expected)
 })
+
+test_that("upperTblData keeps different requested values that share a target record", {
+
+  SD2 <- data.table(SDid = c(1, 2), DEid = c(1, 1))
+  tbls2 <- list(DE = DE, SD = SD2, VS = VS)
+
+  result <- upperTblData("VSid", c(1, 2), tbls2, "DE")
+
+  expect_setequal(names(result), c("VSid", "DEid"))
+  expect_equal(result[, .(VSid, DEid)], data.table(VSid = c(1, 2), DEid = c(1, 1)))
+})
+
+test_that("upperTblData collapses repeated paths between a requested value and a target record", {
+
+  VS2 <- data.table(VSid = c(1, 2), SDid = c(1, 1), VSvalue = c(10, 10))
+  tbls2 <- list(DE = DE, SD = SD, VS = VS2)
+
+  result <- upperTblData("VSvalue", c(10), tbls2, "DE")
+
+  expect_equal(result[, .(VSvalue, DEid)], data.table(VSvalue = 10, DEid = 1))
+})
+
+test_that("upperTblData keeps the requested value when the target field is unused", {
+  tbls2 <- list(DE = data.table(DEid = 1, VSid = NA_real_), SD = SD, VS = VS)
+  result <- upperTblData("VSid", 1, tbls2, "DE")
+
+  expect_equal(result$DEid, 1)
+  expect_equal(result$VSid, 1)
+})
 })
diff --git a/vignettes/v01b-manipulating-rdbesdataobjects.Rmd b/vignettes/v01b-manipulating-rdbesdataobjects.Rmd
index 457f81b..1989abc 100644
--- a/vignettes/v01b-manipulating-rdbesdataobjects.Rmd
+++ b/vignettes/v01b-manipulating-rdbesdataobjects.Rmd
@@ -230,6 +230,8 @@ validateRDBESDataObject(myFilteredObjectValidSpeciesLinks, verbose = FALSE)
 Sometimes it we want to see how a field or values in the **RDBESDataObject** are connected to other tables.
 One use case would be e.g. to see when a specific Landing Event (LE) occured.For this we can use the **getLinkedDataFromLevel()** function. 
 
+The result contains the requested field and all columns of the target table, without adding intermediate hierarchy ids. Each row links a requested value to a target record. Different requested values linked to the same record are retained. This applies in both directions and to queries within the same table; column order is not guaranteed.
+
 ```{r}
 #get the TE table corresponding to the first LEid in the H8ExampleEE1 object
 getLinkedDataFromLevel("LEid", c(1), H8ExampleEE1, "TE", verbose = TRUE)
@@ -237,7 +239,7 @@ getLinkedDataFromLevel("LEid", c(1), H8ExampleEE1, "TE", verbose = TRUE)
 Similarly we can get the subset of the LE table corresponding to a specific value in the TE table. This does not have to be the *id* field, but can be any field in the table.
 
 ```{r}
-#get the TE table corresponding to the first LEid in the H8ExampleEE1 object
+#get the LE table corresponding to the TEstratumName "November" in the H8ExampleEE1 object
 getLinkedDataFromLevel("TEstratumName", c("November"), H8ExampleEE1, "LE", verbose = TRUE)
 ```
 Several values can be used to get a subset of the table. 

From 99379f4c6c17645fb5211c035e622b2218a99925 Mon Sep 17 00:00:00 2001
From: Richard Meitern <richard.meitern@ut.ee>
Date: Tue, 13 Oct 2026 22:05:49 +0300
Subject: [PATCH 79/87] #269 add tests

---
 .../test-removeBrokenSpeciesListLinks.R       | 90 +++++++++++++++++--
 1 file changed, 85 insertions(+), 5 deletions(-)

diff --git a/tests/testthat/test-removeBrokenSpeciesListLinks.R b/tests/testthat/test-removeBrokenSpeciesListLinks.R
index 6f1cabc..7b69893 100644
--- a/tests/testthat/test-removeBrokenSpeciesListLinks.R
+++ b/tests/testthat/test-removeBrokenSpeciesListLinks.R
@@ -1,15 +1,21 @@
+# AI-assisted: Yes
+# Review: rix133
+# Notes/scope: Issue #269 imported H1 data, NULL/empty SL, and a synthetic data
 capture.output({  ## suppresses printing of console output when running test()
 
 test_that("removeBrokenSpeciesListLinks runs without errors
-          or warnings when there are no invalid species list links",  {
+          or warnings on imported H1 data",  {
 
     myPath <- "./h1_v_20250211"
     myH1RawObject <-
     importRDBESDataCSV(rdbesExtractPath = myPath)
 
+    expect_warning(
+      removeBrokenSpeciesListLinks(objectToCheck = myH1RawObject,
+                                   verbose = FALSE), NA)
 })
 
-test_that("removeBrokenSpeciesListLinks prduces an error
+test_that("removeBrokenSpeciesListLinks produces an error
           if the SL table is NULL",  {
 
     myPath <- "./h1_v_20250211"
@@ -17,14 +23,14 @@ test_that("removeBrokenSpeciesListLinks prduces an error
     importRDBESDataCSV(rdbesExtractPath = myPath)
     myH1RawObject["SL"] <- list(NULL)
 
-    myObjectValidSpeciesListLinks <- expect_error(
+    expect_error(
     removeBrokenSpeciesListLinks(objectToCheck = myH1RawObject,
                                            verbose = FALSE)
               ,"The SL entry in in objectToCheck is null - cannot check for broken species list links")
 
 })
-test_that("removeBrokenSpeciesListLinks runs without errors
-          or warnings when there are invalid species list links",  {
+test_that("removeBrokenSpeciesListLinks removes all SS rows
+          without warnings when SL is empty",  {
 
     myPath <- "./h1_v_20250211"
     myH1RawObject <-
@@ -34,10 +40,84 @@ test_that("removeBrokenSpeciesListLinks runs without errors
     myFilteredObject <- filterRDBESDataObject(myH1RawObject,
                                                fieldsToFilter = myFields,
                                                valuesToFilter = myValues )
+    expect_equal(nrow(myFilteredObject$SL), 0L)
+    myExpectedObject <- data.table::copy(myFilteredObject)
+    myExpectedObject$SS <- myExpectedObject$SS[0]
+
     myObjectValidSpeciesListLinks <- expect_warning(
         removeBrokenSpeciesListLinks(objectToCheck = myFilteredObject
                                      ,verbose = FALSE)
                                     ,NA)
+    expect_equal(myObjectValidSpeciesListLinks, myExpectedObject)
+})
+
+#' Build a synthetic H1 fixture with one valid and one broken species-list link.
+#' @return An RDBESDataObject with one SL record and two SS rows.
+# AI-assisted: Yes
+# Review: pending human review
+makeSpeciesListLinksFixture <- function() {
+    myObject <- newRDBESDataObject()
+    myTables <- c("DE", "SD", "VS", "FT", "FO", "SS", "SL", "IS")
+    # Reuse column schemas only; all fixture values are synthetic.
+    for (myTable in myTables) {
+      myObject[[myTable]] <- data.table::copy(H1Example[[myTable]][NA_integer_])
+    }
+
+    myObject$DE[, `:=`(DEid = 1L, DEhierarchy = 1L, DEyear = 2025L)]
+    myObject$SD[, `:=`(SDid = 1L, DEid = 1L, SDctry = "EE")]
+    myObject$VS[, `:=`(VSid = 1L, SDid = 1L)]
+    myObject$FT[, `:=`(FTid = 1L, VSid = 1L)]
+    myObject$FO[, `:=`(FOid = 1L, FTid = 1L)]
+    myObject$SS <- myObject$SS[c(1L, 1L)]
+    myObject$SS[, `:=`(SSid = 1:2, FOid = 1L,
+                      SSspecListName = c("test-list", "missing-list"),
+                      SScatchFra = "Lan")]
+    myObject$SL[, `:=`(SLid = 1L, SLspeclistName = "test-list",
+                      SLcatchFrac = "Lan", SLyear = 2025L, SLcou = "EE")]
+    # Validation requires a non-empty IS table whenever SL is non-empty.
+    myObject$IS[, `:=`(ISid = 1L, SLid = 1L)]
+    for (myTable in myTables) {
+      data.table::setkeyv(myObject[[myTable]], paste0(myTable, "id"))
+    }
+
+    myObject
+}
+
+test_that("removeBrokenSpeciesListLinks keeps a valid SS row
+          and removes a broken species-list link", {
+
+    myObject <- makeSpeciesListLinksFixture()
+    myOriginalObject <- data.table::copy(myObject)
+    myExpectedObject <- data.table::copy(myObject)
+    myExpectedObject$SS <- myExpectedObject$SS[SSid == 1L]
+
+    myObjectValidSpeciesListLinks <- expect_warning(
+      removeBrokenSpeciesListLinks(objectToCheck = myObject,
+                                   verbose = FALSE), NA)
+
+    expect_equal(myObjectValidSpeciesListLinks, myExpectedObject)
+    expect_equal(myObject, myOriginalObject)
+})
+
+test_that("removeBrokenSpeciesListLinks uses SSid when SS columns are reordered", {
+
+    myObject <- makeSpeciesListLinksFixture()
+    # Both rows use the same list name; the second has no matching catch fraction.
+    myObject$SS[SSid == 2L, `:=`(SSspecListName = "test-list",
+                                SScatchFra = "Dis")]
+    data.table::setcolorder(myObject$SS,
+      c("SSspecListName", setdiff(names(myObject$SS), "SSspecListName")))
+
+    # Column order does not make the input invalid.
+    expect_error(validateRDBESDataObject(myObject), NA)
+    myExpectedObject <- data.table::copy(myObject)
+    myExpectedObject$SS <- myExpectedObject$SS[SSid == 1L]
+
+    myObjectValidSpeciesListLinks <- expect_warning(
+      removeBrokenSpeciesListLinks(objectToCheck = myObject,
+                                   verbose = FALSE), NA)
+
+    expect_equal(myObjectValidSpeciesListLinks, myExpectedObject)
 })
 
 }) ## end capture.output

From 6079db9b91277ea2aeceea1323a46e7ba9dcc208 Mon Sep 17 00:00:00 2001
From: Richard Meitern <richard.meitern@ut.ee>
Date: Tue, 13 Oct 2026 22:45:51 +0300
Subject: [PATCH 80/87] #269 complete rewrite and tests

---
 R/removeBrokenSpeciesListLinks.R              | 155 ++++--------------
 R/utils.R                                     |   2 +-
 man/removeBrokenSpeciesListLinks.Rd           |  18 +-
 .../test-removeBrokenSpeciesListLinks.R       |  91 ++++++----
 4 files changed, 101 insertions(+), 165 deletions(-)

diff --git a/R/removeBrokenSpeciesListLinks.R b/R/removeBrokenSpeciesListLinks.R
index 8f9c9bc..f633e50 100644
--- a/R/removeBrokenSpeciesListLinks.R
+++ b/R/removeBrokenSpeciesListLinks.R
@@ -1,18 +1,18 @@
-#' Remove rows which are not pointing to a valid SpecliestListDetails (SL)
-#' records i.e.those rows which have a value of SpeciesListName that does not
-#' exist in the SL table.
+#' Remove SS rows with broken species-list links
+#'
+#' A species-list link matches the list name, catch fraction, design year
+#' and sampling country against the SL table.
 #'
 #' @param objectToCheck an RDBESDataObject.
 #' @param verbose (Optional) If set to TRUE more detailed text will be printed
-#' out by the function.  Default is TRUE.
+#' out by the function.  Default is FALSE.
 #' @param strict (Optional) This function validates its input data - should
 #' the validation be strict? The default is TRUE.
 #'
-#' @return an RDBESDataObject with any records with an invalid SpeciesListName
-#' rows removed
+#' @return an RDBESDataObject with SS rows without a matching SL record removed.
 #' @section Development review:
-#' - AI-assisted: No
-#' - Human review: rix133
+#' - AI-assisted: Yes
+#' - Review: rix133
 #' @export
 #'
 #' @examples
@@ -32,126 +32,37 @@
 #' )
 #' }
 removeBrokenSpeciesListLinks <- function(objectToCheck,
-                                         verbose = FALSE,
-                                         strict = TRUE) {
-
-
-  # Check we have a valid RDBESDataObject before doing anything else
+                                        verbose = FALSE,
+                                        strict = TRUE) {
   validateRDBESDataObject(objectToCheck, verbose = verbose, strict = strict)
 
-  # Just check the non-null entries
-  nonNullEntries <- names(objectToCheck[sapply(objectToCheck, Negate(is.null))])
-
-  if (!"SL" %in% nonNullEntries){
+  if (is.null(objectToCheck[["SL"]])) {
     stop(paste0("The SL entry in in objectToCheck is null - ",
-                   "cannot check for broken species list links"))
-  }
-
-  # Only SS links to the species list table
-  tableToCheck <- "SS"
-
-  # Check any non-null tables
-  if (tableToCheck %in% nonNullEntries) {
-
-    if (verbose){
-      print(paste0(
-        "Number of rows in relevent non-null tables before removing ",
-        "broken species list links"
-      ))
-      print(unlist(lapply(objectToCheck[tableToCheck], nrow)))
-    }
-
-    myTable <- objectToCheck[[tableToCheck]]
-
-    # if we have the possibility of orphans - let's check for them
-    if (nrow(myTable) > 0) {
-      if (verbose) {
-        print(paste0(
-          "Checking for broken species list links in table ",
-          tableToCheck
-        ))
-      }
-
-      # Create a data frame to hold the results
-      myOrphanResults <- data.table::data.table(myTable[, 1])
-      names(myOrphanResults) <- c("pk")
-      myOrphanResults$Table <- tableToCheck
-      # Default to link not existing
-      myOrphanResults[, "slExists"] <- FALSE
-
-
-# Add year and country to SS ----------------------------------------------------
-
-myTable$SSyear <- extractHigherFields(objectToCheck, "SS", "DEyear")
-myTable$SSctry <- extractHigherFields(objectToCheck, "SS", "SDctry")
-
-# -------------------------------------------------------------------------
-
-
-      # Inner join to the SL table
-      joinedTables <- joinDT(myTable,
-                             objectToCheck[["SL"]],
-                             by = c("SSspecListName" = "SLspeclistName",
-                                    "SScatchFra" = "SLcatchFrac",
-                                    "SSyear" = "SLyear",
-                                    "SSctry" = "SLcou"),
-                             type = "inner"
-      )
-
-
-# Remove year and ctry columns from SS ------------------------------------
-
-myTable <- myTable[, SSyear := NULL]
-myTable <- myTable[, SSctry := NULL]
-
-# -------------------------------------------------------------------------
-
-
-      # Remove year and ctry columns from SL
-
-
-      # Update the results for any matches we found
-      if (nrow(joinedTables) > 0) {
-
-        # Find which PKs are in the joined table - these are matches
-        myOrphanResults[
-          myOrphanResults[[1]] %in% joinedTables[[1]],
-          "slExists"
-        ] <- TRUE
-      }
-
-      # We want to remove any rows where the record did not exist in VD
-      rowsToRemove <- myOrphanResults[!myOrphanResults$slExists, 1]
-      rowsToRemove <- rowsToRemove[[1]]
-
-      if (verbose) {
-        print(paste0(
-          "Found ", length(rowsToRemove),
-          " records with broken species list links"
-        ))
-      }
-
-      # Just keep the rows that aren't in the list to remove
-      objectToAlter <- myTable
-      objectToAlter <-
-        objectToAlter[!objectToAlter[[1]] %in% rowsToRemove, ]
-
-      objectToCheck[[tableToCheck]] <- objectToAlter
-
-      if (verbose) {
-        print(paste0("Records with broken species list links have been removed"))
-      }
-    }
+                "cannot check for broken species list links"))
   }
 
-  if (verbose){
-    print(paste0(
-      "Number of rows in relevent non-null tables after removing ",
-      "broken species list links"
-    ))
-    print(unlist(lapply(objectToCheck[tableToCheck], nrow)))
+  mySS <- objectToCheck[["SS"]]
+  if (is.null(mySS) || nrow(mySS) == 0L) return(objectToCheck)
+
+  myLinks <- data.table::data.table(
+    SLspeclistName = mySS[["SSspecListName"]],
+    SLcatchFrac = mySS[["SScatchFra"]],
+    SLyear = extractHigherFields(objectToCheck, "SS", "DEyear"),
+    SLcou = extractHigherFields(objectToCheck, "SS", "SDctry")
+  )
+  # One match per SS row is sufficient, even when several SL records match.
+  myMatches <- objectToCheck[["SL"]][myLinks,
+    on = c("SLspeclistName", "SLcatchFrac", "SLyear", "SLcou"),
+    which = TRUE, mult = "first"]
+  hasMatch <- !is.na(myMatches)
+
+  if (verbose) {
+    print(paste0("SS rows before: ", nrow(mySS),
+                 "; removed: ", sum(!hasMatch),
+                 "; remaining: ", sum(hasMatch)))
   }
 
-  return(objectToCheck)
+  objectToCheck[["SS"]] <- mySS[hasMatch]
+  objectToCheck
 }
 
diff --git a/R/utils.R b/R/utils.R
index 3417794..0551875 100644
--- a/R/utils.R
+++ b/R/utils.R
@@ -49,7 +49,7 @@ globalVariables(unique(c(usedVars, moreUsedVars, evenMoreUsedVars)))
 #' @return a vector of integers or doubles
 #' @importFrom stats na.omit
 #' @keywords internal
-
+#' @exportS3Method NULL
 as.integer.or.dbl <- function(x){
   # we apply as.numeric in case it is a character vector
   # we apply as.omit because that causes an error
diff --git a/man/removeBrokenSpeciesListLinks.Rd b/man/removeBrokenSpeciesListLinks.Rd
index 1e15096..d4c0281 100644
--- a/man/removeBrokenSpeciesListLinks.Rd
+++ b/man/removeBrokenSpeciesListLinks.Rd
@@ -2,9 +2,7 @@
 % Please edit documentation in R/removeBrokenSpeciesListLinks.R
 \name{removeBrokenSpeciesListLinks}
 \alias{removeBrokenSpeciesListLinks}
-\title{Remove rows which are not pointing to a valid SpecliestListDetails (SL)
-records i.e.those rows which have a value of SpeciesListName that does not
-exist in the SL table.}
+\title{Remove SS rows with broken species-list links}
 \usage{
 removeBrokenSpeciesListLinks(objectToCheck, verbose = FALSE, strict = TRUE)
 }
@@ -12,25 +10,23 @@ removeBrokenSpeciesListLinks(objectToCheck, verbose = FALSE, strict = TRUE)
 \item{objectToCheck}{an RDBESDataObject.}
 
 \item{verbose}{(Optional) If set to TRUE more detailed text will be printed
-out by the function.  Default is TRUE.}
+out by the function.  Default is FALSE.}
 
 \item{strict}{(Optional) This function validates its input data - should
 the validation be strict? The default is TRUE.}
 }
 \value{
-an RDBESDataObject with any records with an invalid SpeciesListName
-rows removed
+an RDBESDataObject with SS rows without a matching SL record removed.
 }
 \description{
-Remove rows which are not pointing to a valid SpecliestListDetails (SL)
-records i.e.those rows which have a value of SpeciesListName that does not
-exist in the SL table.
+A species-list link matches the list name, catch fraction, design year
+and sampling country against the SL table.
 }
 \section{Development review}{
 
 \itemize{
-\item AI-assisted: No
-\item Human review: rix133
+\item AI-assisted: Yes
+\item Review: rix133
 }
 }
 
diff --git a/tests/testthat/test-removeBrokenSpeciesListLinks.R b/tests/testthat/test-removeBrokenSpeciesListLinks.R
index 7b69893..71df699 100644
--- a/tests/testthat/test-removeBrokenSpeciesListLinks.R
+++ b/tests/testthat/test-removeBrokenSpeciesListLinks.R
@@ -3,6 +3,36 @@
 # Notes/scope: Issue #269 imported H1 data, NULL/empty SL, and a synthetic data
 capture.output({  ## suppresses printing of console output when running test()
 
+  # Build a synthetic H1 fixture with one valid and one broken species-list link.
+  # returns an RDBESDataObject with one SL record and two SS rows.
+  makeSpeciesListLinksFixture <- function() {
+    myObject <- newRDBESDataObject()
+    myTables <- c("DE", "SD", "VS", "FT", "FO", "SS", "SL", "IS")
+    # Reuse column schemas only; all fixture values are synthetic.
+    for (myTable in myTables) {
+      myObject[[myTable]] <- data.table::copy(H1Example[[myTable]][NA_integer_])
+    }
+
+    myObject$DE[, `:=`(DEid = 1L, DEhierarchy = 1L, DEyear = 2025L)]
+    myObject$SD[, `:=`(SDid = 1L, DEid = 1L, SDctry = "EE")]
+    myObject$VS[, `:=`(VSid = 1L, SDid = 1L)]
+    myObject$FT[, `:=`(FTid = 1L, VSid = 1L)]
+    myObject$FO[, `:=`(FOid = 1L, FTid = 1L)]
+    myObject$SS <- myObject$SS[c(1L, 1L)]
+    myObject$SS[, `:=`(SSid = 1:2, FOid = 1L,
+                       SSspecListName = c("test-list", "missing-list"),
+                       SScatchFra = "Lan")]
+    myObject$SL[, `:=`(SLid = 1L, SLspeclistName = "test-list",
+                       SLcatchFrac = "Lan", SLyear = 2025L, SLcou = "EE")]
+    # Validation requires a non-empty IS table whenever SL is non-empty.
+    myObject$IS[, `:=`(ISid = 1L, SLid = 1L)]
+    for (myTable in myTables) {
+      data.table::setkeyv(myObject[[myTable]], paste0(myTable, "id"))
+    }
+
+    myObject
+  }
+
 test_that("removeBrokenSpeciesListLinks runs without errors
           or warnings on imported H1 data",  {
 
@@ -51,37 +81,7 @@ test_that("removeBrokenSpeciesListLinks removes all SS rows
     expect_equal(myObjectValidSpeciesListLinks, myExpectedObject)
 })
 
-#' Build a synthetic H1 fixture with one valid and one broken species-list link.
-#' @return An RDBESDataObject with one SL record and two SS rows.
-# AI-assisted: Yes
-# Review: pending human review
-makeSpeciesListLinksFixture <- function() {
-    myObject <- newRDBESDataObject()
-    myTables <- c("DE", "SD", "VS", "FT", "FO", "SS", "SL", "IS")
-    # Reuse column schemas only; all fixture values are synthetic.
-    for (myTable in myTables) {
-      myObject[[myTable]] <- data.table::copy(H1Example[[myTable]][NA_integer_])
-    }
-
-    myObject$DE[, `:=`(DEid = 1L, DEhierarchy = 1L, DEyear = 2025L)]
-    myObject$SD[, `:=`(SDid = 1L, DEid = 1L, SDctry = "EE")]
-    myObject$VS[, `:=`(VSid = 1L, SDid = 1L)]
-    myObject$FT[, `:=`(FTid = 1L, VSid = 1L)]
-    myObject$FO[, `:=`(FOid = 1L, FTid = 1L)]
-    myObject$SS <- myObject$SS[c(1L, 1L)]
-    myObject$SS[, `:=`(SSid = 1:2, FOid = 1L,
-                      SSspecListName = c("test-list", "missing-list"),
-                      SScatchFra = "Lan")]
-    myObject$SL[, `:=`(SLid = 1L, SLspeclistName = "test-list",
-                      SLcatchFrac = "Lan", SLyear = 2025L, SLcou = "EE")]
-    # Validation requires a non-empty IS table whenever SL is non-empty.
-    myObject$IS[, `:=`(ISid = 1L, SLid = 1L)]
-    for (myTable in myTables) {
-      data.table::setkeyv(myObject[[myTable]], paste0(myTable, "id"))
-    }
 
-    myObject
-}
 
 test_that("removeBrokenSpeciesListLinks keeps a valid SS row
           and removes a broken species-list link", {
@@ -99,7 +99,7 @@ test_that("removeBrokenSpeciesListLinks keeps a valid SS row
     expect_equal(myObject, myOriginalObject)
 })
 
-test_that("removeBrokenSpeciesListLinks uses SSid when SS columns are reordered", {
+test_that("removeBrokenSpeciesListLinks handles reordered SS columns", {
 
     myObject <- makeSpeciesListLinksFixture()
     # Both rows use the same list name; the second has no matching catch fraction.
@@ -120,4 +120,33 @@ test_that("removeBrokenSpeciesListLinks uses SSid when SS columns are reordered"
     expect_equal(myObjectValidSpeciesListLinks, myExpectedObject)
 })
 
+test_that("multiple matching SL records do not duplicate or reorder SS rows", {
+
+    myObject <- makeSpeciesListLinksFixture()
+    myObject$SS[SSid == 2L, SSspecListName := "test-list"]
+    myObject$SS <- myObject$SS[2:1]
+    data.table::setkeyv(myObject$SS, "SSspecListName")
+    myObject$SL <- myObject$SL[c(1L, 1L)]
+    myObject$SL[, SLid := 1:2]
+    data.table::setkeyv(myObject$SL, "SLid")
+    myOriginalObject <- data.table::copy(myObject)
+
+    myResult <- expect_warning(removeBrokenSpeciesListLinks(myObject), NA)
+
+    expect_equal(myResult, myOriginalObject)
+    expect_equal(myObject, myOriginalObject)
+})
+
+test_that("empty and NULL SS entries are returned unchanged", {
+
+    myObject <- makeSpeciesListLinksFixture()
+    myObject$SS <- myObject$SS[0]
+    myResult <- expect_warning(removeBrokenSpeciesListLinks(myObject), NA)
+    expect_equal(myResult, myObject)
+
+    myObject["SS"] <- list(NULL)
+    myResult <- expect_warning(removeBrokenSpeciesListLinks(myObject), NA)
+    expect_equal(myResult, myObject)
+})
+
 }) ## end capture.output

From 0a012558b9d725505ed8d052216a49f52d09f996 Mon Sep 17 00:00:00 2001
From: nmprista <31890653+nmprista@users.noreply.github.com>
Date: Wed, 14 Oct 2026 10:01:02 +0200
Subject: [PATCH 81/87] #267

---
 R/detectNonExportedExamples.R | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/R/detectNonExportedExamples.R b/R/detectNonExportedExamples.R
index 3a36ed4..fb9edc3 100644
--- a/R/detectNonExportedExamples.R
+++ b/R/detectNonExportedExamples.R
@@ -64,7 +64,7 @@
 #' @examples
 #' \dontrun{
 #' # Scan a local package source directory
-#' issues <- detectNonExportedExamples("path/to/package")
+#' issues <- RDBEScore:::detectNonExportedExamples("path/to/package")
 #'
 #' # Display all detected calls
 #' print(issues)

From 33d2e8f2a060bc402920ca2ab1219d56cbdba171 Mon Sep 17 00:00:00 2001
From: nmprista <31890653+nmprista@users.noreply.github.com>
Date: Wed, 14 Oct 2026 10:01:18 +0200
Subject: [PATCH 82/87] # 267

---
 R/importRDBESDataCSV.R | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/R/importRDBESDataCSV.R b/R/importRDBESDataCSV.R
index a539dc4..ae1ee11 100644
--- a/R/importRDBESDataCSV.R
+++ b/R/importRDBESDataCSV.R
@@ -33,7 +33,7 @@
 #' dataDir <- paste0(system.file("extdata", package = "RDBEScore"), "/")
 #' tmpDir<-tempdir(check = FALSE)
 #' unzip(paste0(dataDir,"H1_Example.zip"), exdir=tmpDir)
-#' myH1DataObject<-importRDBESDataCSV(file.path(tmpDir,"H1"))
+#' myH1DataObject<-RDBEScore:::importRDBESDataCSV(file.path(tmpDir,"H1"))
 #' validateRDBESDataObject(myH1DataObject)}
 #'
 importRDBESDataCSV <- function(rdbesExtractPath = NULL,

From b81e93d9ff66dfe605815d9c35075a5767b13269 Mon Sep 17 00:00:00 2001
From: nmprista <31890653+nmprista@users.noreply.github.com>
Date: Wed, 14 Oct 2026 10:06:23 +0200
Subject: [PATCH 83/87] fixed bug in FOid subset

---
 vignettes/v02b-Generating-zeros-for-species-not-observed.Rmd | 5 +++--
 1 file changed, 3 insertions(+), 2 deletions(-)

diff --git a/vignettes/v02b-Generating-zeros-for-species-not-observed.Rmd b/vignettes/v02b-Generating-zeros-for-species-not-observed.Rmd
index f9515b9..ac50453 100644
--- a/vignettes/v02b-Generating-zeros-for-species-not-observed.Rmd
+++ b/vignettes/v02b-Generating-zeros-for-species-not-observed.Rmd
@@ -29,11 +29,12 @@ library(data.table)
 ## Load and validate example data
 
 ```{r}
-# read an example dataset and simplify it to 1 trip and 1 haul
+# read an example dataset and simplify it to 1 trip and 1 haul (the first one in the dataset is selected
+the dat)
 data(Pckg_survey_apistrat_H1)
 myH1DataObject1 <- Pckg_survey_apistrat_H1
 myH1DataObject1$SL<-myH1DataObject1$SL[grepl(myH1DataObject1$SL$SLspeclistName, pat="Pckg_survey_apistrat_H1"),]
-myH1DataObject1<-filterAndTidyRDBESDataObject(myH1DataObject1, fieldsToFilter="FOid",valuesToFilter=70849)
+myH1DataObject1<-filterAndTidyRDBESDataObject(myH1DataObject1, fieldsToFilter="FOid",valuesToFilter=myH1DataObject1$FO$FOid[1])
 # check it is a valid RDBESobject
 validateRDBESDataObject(myH1DataObject1)
 ```

From 47556828c2cce7ad4966b2028d55d94319031c38 Mon Sep 17 00:00:00 2001
From: nmprista <31890653+nmprista@users.noreply.github.com>
Date: Wed, 14 Oct 2026 11:04:41 +0200
Subject: [PATCH 84/87] update name of function

now more descriptive
---
 ...dExamples.R => detectNonExportedFunctionsInExamples.R} | 6 +++++-
 ...ples.R => test-detectNonExportedFunctionsInExamples.R} | 8 ++++----
 2 files changed, 9 insertions(+), 5 deletions(-)
 rename R/{detectNonExportedExamples.R => detectNonExportedFunctionsInExamples.R} (97%)
 rename tests/testthat/{test-detectNonExportedExamples.R => test-detectNonExportedFunctionsInExamples.R} (89%)

diff --git a/R/detectNonExportedExamples.R b/R/detectNonExportedFunctionsInExamples.R
similarity index 97%
rename from R/detectNonExportedExamples.R
rename to R/detectNonExportedFunctionsInExamples.R
index fb9edc3..8844c47 100644
--- a/R/detectNonExportedExamples.R
+++ b/R/detectNonExportedFunctionsInExamples.R
@@ -64,7 +64,11 @@
 #' @examples
 #' \dontrun{
 #' # Scan a local package source directory
+<<<<<<< Updated upstream:R/detectNonExportedExamples.R
 #' issues <- RDBEScore:::detectNonExportedExamples("path/to/package")
+=======
+#' issues <- detectNonExportedFunctionsInExamples("path/to/package")
+>>>>>>> Stashed changes:R/detectNonExportedFunctionsInExamples.R
 #'
 #' # Display all detected calls
 #' print(issues)
@@ -74,7 +78,7 @@
 #' }
 #'
 
-detectNonExportedExamples <- function(pkgPath) {
+detectNonExportedFunctionsInExamples <- function(pkgPath) {
   stopifnot(dir.exists(pkgPath))
 
   man_dir <- file.path(pkgPath, "man")
diff --git a/tests/testthat/test-detectNonExportedExamples.R b/tests/testthat/test-detectNonExportedFunctionsInExamples.R
similarity index 89%
rename from tests/testthat/test-detectNonExportedExamples.R
rename to tests/testthat/test-detectNonExportedFunctionsInExamples.R
index 16a8d03..f7fadf3 100644
--- a/tests/testthat/test-detectNonExportedExamples.R
+++ b/tests/testthat/test-detectNonExportedFunctionsInExamples.R
@@ -3,7 +3,7 @@
 #' - Notes/scope: not really reviewed, just worked when needed
 #'
 
-test_that("detectNonExportedExamples finds non-exported functions in examples", {
+test_that("detectNonExportedFunctionsInExamples finds non-exported functions in examples", {
   pkg_path <- tempfile("testpkg-")
   dir.create(pkg_path)
   dir.create(file.path(pkg_path, "R"))
@@ -52,7 +52,7 @@ test_that("detectNonExportedExamples finds non-exported functions in examples",
     file.path(pkg_path, "man", "public_fun.Rd")
   )
 
-  result <- detectNonExportedExamples(pkg_path)
+  result <- detectNonExportedFunctionsInExamples(pkg_path)
 
   expect_true(is.data.frame(result))
   expect_true(all(c(
@@ -68,7 +68,7 @@ test_that("detectNonExportedExamples finds non-exported functions in examples",
   unlink(pkg_path, recursive = TRUE)
 })
 
-test_that("detectNonExportedExamples ignores exported functions", {
+test_that("detectNonExportedFunctionsInExamples ignores exported functions", {
   pkg_path <- tempfile("testpkg-")
   dir.create(pkg_path)
   dir.create(file.path(pkg_path, "R"))
@@ -113,7 +113,7 @@ test_that("detectNonExportedExamples ignores exported functions", {
     file.path(pkg_path, "man", "public_fun.Rd")
   )
 
-  result <- detectNonExportedExamples(pkg_path)
+  result <- detectNonExportedFunctionsInExamples(pkg_path)
 
   expect_false(any(result$function_name == "public_fun"))
 

From a4bd355f1bb1d8464e52e9c2c179c8f32f6a2e82 Mon Sep 17 00:00:00 2001
From: nmprista <31890653+nmprista@users.noreply.github.com>
Date: Wed, 14 Oct 2026 14:02:17 +0200
Subject: [PATCH 85/87] set SAtotalWtLive, SAtotalWtMes of dummy rows to NA:
 was 0 set SAspecState of dummy rows to "Unknown"; was 0 closes # 271

---
 R/generateZerosUsingSL.R | 4 +++-
 1 file changed, 3 insertions(+), 1 deletion(-)

diff --git a/R/generateZerosUsingSL.R b/R/generateZerosUsingSL.R
index 19d2c57..85c3e91 100644
--- a/R/generateZerosUsingSL.R
+++ b/R/generateZerosUsingSL.R
@@ -120,7 +120,9 @@ generateZerosUsingSL <- function(x,
           dummyRows$SAstratification <- 'N'
           dummyRows$SAstratumName <- 'U'
           dummyRows$SAspeCode<-sppToAdd$IScommTaxon
-          dummyRows[,c("SAtotalWtLive","SAsampWtLive","SAtotalWtMes","SAsampWtMes","SAspecState")]<-0
+          dummyRows[,c("SAtotalWtLive","SAtotalWtMes")] <- NA
+          dummyRows[,c("SAsampWtLive", "SAsampWtMes")] <-0
+          dummyRows$SAspecState <-'Unknown'
           dummyRows$SAnumTotal <- ifelse(dummyRows$SAunitType=="Individuals", 0, dummyRows$SAnumTotal)
           dummyRows$SAnumSamp <- ifelse(dummyRows$SAunitType=="Individuals", 0, dummyRows$SAnumSamp)
           dummyRows$SAselProb <- 1

From a1cb2db3cc587a79ef39789dcd5cee5e908ddd49 Mon Sep 17 00:00:00 2001
From: nmprista <31890653+nmprista@users.noreply.github.com>
Date: Wed, 14 Oct 2026 14:26:45 +0200
Subject: [PATCH 86/87] update name of function

fixed conflict
---
 R/detectNonExportedFunctionsInExamples.R | 4 ----
 1 file changed, 4 deletions(-)

diff --git a/R/detectNonExportedFunctionsInExamples.R b/R/detectNonExportedFunctionsInExamples.R
index 8844c47..f0d6e17 100644
--- a/R/detectNonExportedFunctionsInExamples.R
+++ b/R/detectNonExportedFunctionsInExamples.R
@@ -64,11 +64,7 @@
 #' @examples
 #' \dontrun{
 #' # Scan a local package source directory
-<<<<<<< Updated upstream:R/detectNonExportedExamples.R
-#' issues <- RDBEScore:::detectNonExportedExamples("path/to/package")
-=======
 #' issues <- detectNonExportedFunctionsInExamples("path/to/package")
->>>>>>> Stashed changes:R/detectNonExportedFunctionsInExamples.R
 #'
 #' # Display all detected calls
 #' print(issues)

From e6cdd9452d9baf8c3256c64f867b4417f1fcba0d Mon Sep 17 00:00:00 2001
From: nmprista <31890653+nmprista@users.noreply.github.com>
Date: Wed, 14 Oct 2026 14:50:39 +0200
Subject: [PATCH 87/87] Update generateZerosUsingSL.R

fixes #273 with regards to generateZerosUsingSL part
---
 R/generateZerosUsingSL.R | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/R/generateZerosUsingSL.R b/R/generateZerosUsingSL.R
index 85c3e91..3f19b29 100644
--- a/R/generateZerosUsingSL.R
+++ b/R/generateZerosUsingSL.R
@@ -64,7 +64,7 @@ generateZerosUsingSL <- function(x,
         # in the following, the max SAid is determined. That SAid + a decimal will constitute the SAid of the new 0 rows
         # determine upper table (parentIdVar) and its value (parentIdValue)
         # note, the use of which is an attempt to make this hierarchy independent - there may be better forms to achieve this.
-        parentIdVar<-c("FOid","TEid","LEid","FTid")[which(!is.na(tmpSS[tmpSS$SLid == targetSLid,c("FOid","TEid","LEid","FTid")]))]
+        parentIdVar<-c("FOid","TEid","LEid","FTid")[which(!is.na(mySS[mySS$SLid == targetSLid,c("FOid","TEid","LEid","FTid")]))]
         parentIdValue<-tmpSS[[parentIdVar]][tmpSS$SLid == targetSLid]
         # associates the parentIdVar to tmpSA
         tmpSA$parentIdVar<-x[[gsub("id","",parentIdVar)]][[parentIdVar]][match(parentIdValue, x[[gsub("id","",parentIdVar)]][[parentIdVar]])]