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test: migrate stats/padjust to ULP-based assertions #16189

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test: migrate stats/padjust to ULP-based assertions #16189

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83 changes: 9 additions & 74 deletions lib/node_modules/@stdlib/stats/padjust/test/test.js
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Original file line number Diff line number Diff line change
Expand Up @@ -21,8 +21,7 @@
// MODULES //

var tape = require( 'tape' );
var EPS = require( '@stdlib/constants/float64/eps' );
var abs = require( '@stdlib/math/base/special/abs' );
var isAlmostSameValue = require( '@stdlib/assert/is-almost-same-value' );
var padjust = require( './../lib' );


Expand Down Expand Up @@ -197,184 +196,120 @@ tape( 'the function throws an error if the third argument is smaller than the nu

tape( 'the function returns adjusted p-values (using Bonferroni correction)', function test( t ) {
var expected;
var delta;
var pvals;
var tol;
var out;
var i;

pvals = BONFERRONI.pvals;
expected = BONFERRONI.expected;
out = padjust( pvals, 'bonferroni' );
for ( i = 0; i < pvals.length; i++ ) {
if ( out[ i ] === expected[ i ] ) {
t.strictEqual( out[ i ], expected[ i ], 'p: '+pvals[i]+'. adj: '+out[ i ]+'. E: '+expected[i]+'.' );
} else {
delta = abs( out[ i ] - expected[i] );
tol = 15.0 * EPS * abs( expected[i] );
t.ok( delta <= tol, 'within tolerance. p: '+pvals[i]+'. adj: '+out[ i ]+'. E: '+expected[i]+'. tol: '+tol+'. Δ: '+delta+'.' );
}
t.strictEqual( isAlmostSameValue( out[ i ], expected[ i ], 0 ), true, 'returns expected value' );
}
t.end();
});

tape( 'the function returns adjusted p-values (using Benjamini & Yekutieli correction)', function test( t ) {
var expected;
var delta;
var pvals;
var tol;
var out;
var i;

pvals = BY.pvals;
expected = BY.expected;
out = padjust( pvals, 'by' );
for ( i = 0; i < pvals.length; i++ ) {
if ( out[ i ] === expected[ i ] ) {
t.strictEqual( out[ i ], expected[ i ], 'p: '+pvals[i]+'. adj: '+out[ i ]+'. E: '+expected[i]+'.' );
} else {
delta = abs( out[ i ] - expected[i] );
tol = 20.0 * EPS * abs( expected[i] );
t.ok( delta <= tol, 'within tolerance. p: '+pvals[i]+'. adj: '+out[ i ]+'. E: '+expected[i]+'. tol: '+tol+'. Δ: '+delta+'.' );
}
t.strictEqual( isAlmostSameValue( out[ i ], expected[ i ], 0 ), true, 'returns expected value' );
}
t.end();
});

tape( 'the function returns adjusted p-values (using False Discovery Rate control)', function test( t ) {
var expected;
var delta;
var pvals;
var tol;
var out;
var i;

pvals = BH.pvals;
expected = BH.expected;
out = padjust( pvals, 'bh' );
for ( i = 0; i < pvals.length; i++ ) {
if ( out[ i ] === expected[ i ] ) {
t.strictEqual( out[ i ], expected[ i ], 'p: '+pvals[i]+'. adj: '+out[ i ]+'. E: '+expected[i]+'.' );
} else {
delta = abs( out[ i ] - expected[i] );
tol = 20.0 * EPS * abs( expected[i] );
t.ok( delta <= tol, 'within tolerance. p: '+pvals[i]+'. adj: '+out[ i ]+'. E: '+expected[i]+'. tol: '+tol+'. Δ: '+delta+'.' );
}
t.strictEqual( isAlmostSameValue( out[ i ], expected[ i ], 0 ), true, 'returns expected value' );
}
t.end();
});

tape( 'the function returns adjusted p-values (using Holm\'s correction)', function test( t ) {
var expected;
var delta;
var pvals;
var tol;
var out;
var i;

pvals = HOLM.pvals;
expected = HOLM.expected;
out = padjust( pvals, 'holm' );
for ( i = 0; i < pvals.length; i++ ) {
if ( out[ i ] === expected[ i ] ) {
t.strictEqual( out[ i ], expected[ i ], 'p: '+pvals[i]+'. adj: '+out[ i ]+'. E: '+expected[i]+'.' );
} else {
delta = abs( out[ i ] - expected[i] );
tol = 20.0 * EPS * abs( expected[i] );
t.ok( delta <= tol, 'within tolerance. p: '+pvals[i]+'. adj: '+out[ i ]+'. E: '+expected[i]+'. tol: '+tol+'. Δ: '+delta+'.' );
}
t.strictEqual( isAlmostSameValue( out[ i ], expected[ i ], 0 ), true, 'returns expected value' );
}
t.end();
});

tape( 'the function returns adjusted p-values (using Hommel\'s method)', function test( t ) {
var expected;
var delta;
var pvals;
var tol;
var out;
var i;

pvals = HOMMEL.pvals;
expected = HOMMEL.expected;
out = padjust( pvals, 'hommel' );
for ( i = 0; i < pvals.length; i++ ) {
if ( out[ i ] === expected[ i ] ) {
t.strictEqual( out[ i ], expected[ i ], 'p: '+pvals[i]+'. adj: '+out[ i ]+'. E: '+expected[i]+'.' );
} else {
delta = abs( out[ i ] - expected[i] );
tol = 10.0 * EPS * abs( expected[i] );
t.ok( delta <= tol, 'within tolerance. p: '+pvals[i]+'. adj: '+out[ i ]+'. E: '+expected[i]+'. tol: '+tol+'. Δ: '+delta+'.' );
}
t.strictEqual( isAlmostSameValue( out[ i ], expected[ i ], 0 ), true, 'returns expected value' );
}
t.end();
});

tape( 'the function returns adjusted p-values (custom number of comparisons)', function test( t ) {
var expected;
var delta;
var pvals;
var tol;
var out;
var i;

pvals = CUSTOM.pvals;
expected = CUSTOM.expected;
out = padjust( pvals, 'bh', CUSTOM.n );
for ( i = 0; i < pvals.length; i++ ) {
if ( out[ i ] === expected[ i ] ) {
t.strictEqual( out[ i ], expected[ i ], 'p: '+pvals[i]+'. adj: '+out[ i ]+'. E: '+expected[i]+'.' );
} else {
delta = abs( out[ i ] - expected[i] );
tol = 10.0 * EPS * abs( expected[i] );
t.ok( delta <= tol, 'within tolerance. p: '+pvals[i]+'. adj: '+out[ i ]+'. E: '+expected[i]+'. tol: '+tol+'. Δ: '+delta+'.' );
}
t.strictEqual( isAlmostSameValue( out[ i ], expected[ i ], 0 ), true, 'returns expected value' );
}
t.end();
});

tape( 'the function returns adjusted p-values using Hommel\'s method (custom number of comparisons)', function test( t ) {
var expected;
var delta;
var pvals;
var tol;
var out;
var i;

pvals = CUSTOM_HOMMEL.pvals;
expected = CUSTOM_HOMMEL.expected;
out = padjust( pvals, 'hommel', CUSTOM_HOMMEL.n );
for ( i = 0; i < pvals.length; i++ ) {
if ( out[ i ] === expected[ i ] ) {
t.strictEqual( out[ i ], expected[ i ], 'p: '+pvals[i]+'. adj: '+out[ i ]+'. E: '+expected[i]+'.' );
} else {
delta = abs( out[ i ] - expected[i] );
tol = 10.0 * EPS * abs( expected[i] );
t.ok( delta <= tol, 'within tolerance. p: '+pvals[i]+'. adj: '+out[ i ]+'. E: '+expected[i]+'. tol: '+tol+'. Δ: '+delta+'.' );
}
t.strictEqual( isAlmostSameValue( out[ i ], expected[ i ], 0 ), true, 'returns expected value' );
}
t.end();
});

tape( 'the function returns adjusted p-values using the Benjamini & Yekutieli correction (custom number of comparisons)', function test( t ) {
var expected;
var delta;
var pvals;
var tol;
var out;
var i;

pvals = CUSTOM_BY.pvals;
expected = CUSTOM_BY.expected;
out = padjust( pvals, 'by', CUSTOM_BY.n );
for ( i = 0; i < pvals.length; i++ ) {
if ( out[ i ] === expected[ i ] ) {
t.strictEqual( out[ i ], expected[ i ], 'p: '+pvals[i]+'. adj: '+out[ i ]+'. E: '+expected[i]+'.' );
} else {
delta = abs( out[ i ] - expected[i] );
tol = 10.0 * EPS * abs( expected[i] );
t.ok( delta <= tol, 'within tolerance. p: '+pvals[i]+'. adj: '+out[ i ]+'. E: '+expected[i]+'. tol: '+tol+'. Δ: '+delta+'.' );
}
t.strictEqual( isAlmostSameValue( out[ i ], expected[ i ], 0 ), true, 'returns expected value' );
}
t.end();
});
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