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test: migrate stats/chi2test to ULP-based assertions #15346

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63 changes: 13 additions & 50 deletions lib/node_modules/@stdlib/stats/chi2test/test/test.js
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Original file line number Diff line number Diff line change
Expand Up @@ -22,9 +22,8 @@

var tape = require( 'tape' );
var array = require( '@stdlib/ndarray/array' );
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 chi2test = require( './../lib' );


Expand Down Expand Up @@ -143,8 +142,6 @@ tape( 'the function throws an error if provided a significance level `alpha` out

tape( 'the function correctly computes the chi-square independence test for a two-way contingency table', function test( t ) {
var expected;
var delta;
var tol;
var out;
var x;

Expand All @@ -153,22 +150,16 @@ tape( 'the function correctly computes the chi-square independence test for a tw

// Tested against R:
expected = counts.pValue;
delta = abs( out.pValue - expected );
tol = 4.0 * EPS * abs( expected );
t.ok( delta <= tol, 'within tolerance. x: '+x+'. pValue: '+out.pValue+'. E: '+expected+'. Δ: '+delta+'. tol: '+tol );
t.strictEqual( isAlmostSameValue( out.pValue, expected, 1 ), true, 'returns expected value' );

expected = counts.statistic;
delta = abs( out.statistic - expected );
tol = 12.0 * EPS * abs( expected );
t.ok( delta <= tol, 'within tolerance. x: '+x+'. statistic: '+out.statistic+'. E: '+expected+'. Δ: '+delta+'. tol: '+tol );
t.strictEqual( isAlmostSameValue( out.statistic, expected, 2 ), true, 'returns expected value' );

t.end();
});

tape( 'the function correctly computes the chi-square independence test for a two-way contingency table (supplied as an `ndarray`)', function test( t ) {
var expected;
var delta;
var tol;
var out;
var x;

Expand All @@ -177,22 +168,16 @@ tape( 'the function correctly computes the chi-square independence test for a tw

// Tested against R:
expected = counts.pValue;
delta = abs( out.pValue - expected );
tol = 4.0 * EPS * abs( expected );
t.ok( delta <= tol, 'within tolerance. x: '+x+'. pValue: '+out.pValue+'. E: '+expected+'. Δ: '+delta+'. tol: '+tol );
t.strictEqual( isAlmostSameValue( out.pValue, expected, 1 ), true, 'returns expected value' );

expected = counts.statistic;
delta = abs( out.statistic - expected );
tol = 12.0 * EPS * abs( expected );
t.ok( delta <= tol, 'within tolerance. x: '+x+'. statistic: '+out.statistic+'. E: '+expected+'. Δ: '+delta+'. tol: '+tol );
t.strictEqual( isAlmostSameValue( out.statistic, expected, 2 ), true, 'returns expected value' );

t.end();
});

tape( 'the function correctly computes the chi-square independence test for a two-way contingency table with two categories each (with continuity correction)', function test( t ) {
var expected;
var delta;
var tol;
var out;
var x;

Expand All @@ -201,22 +186,16 @@ tape( 'the function correctly computes the chi-square independence test for a tw

// Tested against R:
expected = corrected.pValue;
delta = abs( out.pValue - expected );
tol = 20.0 * EPS * abs( expected );
t.ok( delta <= tol, 'within tolerance. x: '+x+'. pValue: '+out.pValue+'. E: '+expected+'. Δ: '+delta+'. tol: '+tol );
t.strictEqual( isAlmostSameValue( out.pValue, expected, 16 ), true, 'returns expected value' );

expected = corrected.statistic;
delta = abs( out.statistic - expected );
tol = 2.0 * EPS * abs( expected );
t.ok( delta <= tol, 'within tolerance. x: '+x+'. statistic: '+out.statistic+'. E: '+expected+'. Δ: '+delta+'. tol: '+tol );
t.strictEqual( isAlmostSameValue( out.statistic, expected, 0 ), true, 'returns expected value' );

t.end();
});

tape( 'the function correctly computes the chi-square independence test for a two-way contingency table with two categories each (without continuity correction)', function test( t ) {
var expected;
var delta;
var tol;
var out;
var x;

Expand All @@ -227,22 +206,16 @@ tape( 'the function correctly computes the chi-square independence test for a tw

// Tested against R:
expected = uncorrected.pValue;
delta = abs( out.pValue - expected );
tol = 12.0 * EPS * abs( expected );
t.ok( delta <= tol, 'within tolerance. x: '+x+'. pValue: '+out.pValue+'. E: '+expected+'. Δ: '+delta+'. tol: '+tol );
t.strictEqual( isAlmostSameValue( out.pValue, expected, 8 ), true, 'returns expected value' );

expected = uncorrected.statistic;
delta = abs( out.statistic - expected );
tol = 2.0 * EPS * abs( expected );
t.ok( delta <= tol, 'within tolerance. x: '+x+'. statistic: '+out.statistic+'. E: '+expected+'. Δ: '+delta+'. tol: '+tol );
t.strictEqual( isAlmostSameValue( out.statistic, expected, 0 ), true, 'returns expected value' );

t.end();
});

tape( 'the function correctly computes the chi-square independence test for a two-way contingency table with more columns than rows', function test( t ) {
var expected;
var delta;
var tol;
var out;
var x;

Expand All @@ -251,22 +224,16 @@ tape( 'the function correctly computes the chi-square independence test for a tw

// Tested against R:
expected = moreCols.pValue;
delta = abs( out.pValue - expected );
tol = 8.0 * EPS * abs( expected );
t.ok( delta <= tol, 'within tolerance. x: '+x+'. pValue: '+out.pValue+'. E: '+expected+'. Δ: '+delta+'. tol: '+tol );
t.strictEqual( isAlmostSameValue( out.pValue, expected, 2 ), true, 'returns expected value' );

expected = moreCols.statistic;
delta = abs( out.statistic - expected );
tol = 2.0 * EPS * abs( expected );
t.ok( delta <= tol, 'within tolerance. x: '+x+'. statistic: '+out.statistic+'. E: '+expected+'. Δ: '+delta+'. tol: '+tol );
t.strictEqual( isAlmostSameValue( out.statistic, expected, 0 ), true, 'returns expected value' );

t.end();
});

tape( 'the function correctly computes the chi-square independence test for a two-way contingency table with more rows than columns', function test( t ) {
var expected;
var delta;
var tol;
var out;
var x;

Expand All @@ -275,14 +242,10 @@ tape( 'the function correctly computes the chi-square independence test for a tw

// Tested against R:
expected = moreRows.pValue;
delta = abs( out.pValue - expected );
tol = 2.0 * EPS * abs( expected );
t.ok( delta <= tol, 'within tolerance. x: '+x+'. pValue: '+out.pValue+'. E: '+expected+'. Δ: '+delta+'. tol: '+tol );
t.strictEqual( isAlmostSameValue( out.pValue, expected, 0 ), true, 'returns expected value' );

expected = moreRows.statistic;
delta = abs( out.statistic - expected );
tol = 2.0 * EPS * abs( expected );
t.ok( delta <= tol, 'within tolerance. x: '+x+'. statistic: '+out.statistic+'. E: '+expected+'. Δ: '+delta+'. tol: '+tol );
t.strictEqual( isAlmostSameValue( out.statistic, expected, 0 ), true, 'returns expected value' );

t.end();
});
Expand Down
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