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test: migrate stats/pcorrtest to ULP-based assertions #16193

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test: migrate stats/pcorrtest to ULP-based assertions #16193

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45 changes: 10 additions & 35 deletions lib/node_modules/@stdlib/stats/pcorrtest/test/test.js
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Original file line number Diff line number Diff line change
Expand Up @@ -21,9 +21,8 @@
// MODULES //

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


Expand Down Expand Up @@ -177,9 +176,7 @@ tape( 'the function throws an error if provided arrays with less than four obser

tape( 'the function by default performs a two-sided t-test for the Pearson correlation between paired samples', function test( t ) {
var expected;
var delta;
var out;
var tol;
var i;
var x;
var y;
Expand All @@ -190,29 +187,21 @@ tape( 'the function by default performs a two-sided t-test for the Pearson corre

// Tested against R:
expected = twosided.pValue;
delta = abs( out.pValue - expected );
tol = 1e-6 * abs( expected );
t.ok( delta <= tol, 'within tolerance. p-value: '+out.pValue+'. E: '+expected+' Δ: '+delta+'. tol: '+tol );
t.strictEqual( isAlmostSameValue( out.pValue, expected, 167809046 ), true, 'returns expected value' );

expected = twosided.statistic;
delta = abs( out.statistic - expected );
tol = 10.0 * EPS * abs( expected );
t.ok( delta <= tol, 'within tolerance. statistic: '+out.statistic+'. E: '+expected+' Δ: '+delta+'. tol: '+tol );
t.strictEqual( isAlmostSameValue( out.statistic, expected, 0 ), true, 'returns expected value' );

expected = twosided.ci;
for ( i = 0; i < 2; i++ ) {
delta = abs( out.ci[ i ] - expected[ i ]);
tol = 20.0 * EPS * abs( expected[ i ] );
t.ok( delta <= tol, 'within tolerance. CI['+i+']: '+out.ci[ i ]+'. E: '+expected[ i ]+' Δ: '+delta+'. tol: '+tol );
t.strictEqual( isAlmostSameValue( out.ci[ i ], expected[ i ], 1 ), true, 'returns expected value' );
}
t.end();
});

tape( 'the function performs a one-sided t-test for the Pearson correlation between paired samples (when alternative is `less`)', function test( t ) {
var expected;
var delta;
var out;
var tol;
var i;
var x;
var y;
Expand All @@ -225,29 +214,21 @@ tape( 'the function performs a one-sided t-test for the Pearson correlation betw

// Tested against R:
expected = less.pValue;
delta = abs( out.pValue - expected );
tol = 100 * EPS * abs( expected );
t.ok( delta <= tol, 'within tolerance. p-value: '+out.pValue+'. E: '+expected+' Δ: '+delta+'. tol: '+tol );
t.strictEqual( isAlmostSameValue( out.pValue, expected, 0 ), true, 'returns expected value' );

expected = less.statistic;
delta = abs( out.statistic - expected );
tol = 10.0 * EPS * abs( expected );
t.ok( delta <= tol, 'within tolerance. statistic: '+out.statistic+'. E: '+expected+' Δ: '+delta+'. tol: '+tol );
t.strictEqual( isAlmostSameValue( out.statistic, expected, 0 ), true, 'returns expected value' );

expected = less.ci;
for ( i = 0; i < 2; i++ ) {
delta = abs( out.ci[ i ] - expected[ i ]);
tol = 10.0 * EPS * abs( expected[ i ] );
t.ok( delta <= tol, 'within tolerance. CI['+i+']: '+out.ci[ i ]+'. E: '+expected[ i ]+' Δ: '+delta+'. tol: '+tol );
t.strictEqual( isAlmostSameValue( out.ci[ i ], expected[ i ], 3 ), true, 'returns expected value' );
}
t.end();
});

tape( 'the function performs a one-sided t-test for the Pearson correlation between paired samples (when alternative is `greater`)', function test( t ) {
var expected;
var delta;
var out;
var tol;
var i;
var x;
var y;
Expand All @@ -260,20 +241,14 @@ tape( 'the function performs a one-sided t-test for the Pearson correlation betw

// Tested against R:
expected = greater.pValue;
delta = abs( out.pValue - expected );
tol = 100 * EPS * abs( expected );
t.ok( delta <= tol, 'within tolerance. p-value: '+out.pValue+'. E: '+expected+' Δ: '+delta+'. tol: '+tol );
t.strictEqual( isAlmostSameValue( out.pValue, expected, 0 ), true, 'returns expected value' );

expected = greater.statistic;
delta = abs( out.statistic - expected );
tol = 10.0 * EPS * abs( expected );
t.ok( delta <= tol, 'within tolerance. statistic: '+out.statistic+'. E: '+expected+' Δ: '+delta+'. tol: '+tol );
t.strictEqual( isAlmostSameValue( out.statistic, expected, 2 ), true, 'returns expected value' );

expected = greater.ci;
for ( i = 0; i < 2; i++ ) {
delta = abs( out.ci[ i ] - expected[ i ]);
tol = 10.0 * EPS * abs( expected[ i ] );
t.ok( delta <= tol, 'within tolerance. CI['+i+']: '+out.ci[ i ]+'. E: '+expected[ i ]+' Δ: '+delta+'. tol: '+tol );
t.strictEqual( isAlmostSameValue( out.ci[ i ], expected[ i ], 3 ), true, 'returns expected value' );
}
t.end();
});
Expand Down
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