als-statistics/tests/golden/edge-anova.test.js

Modular JS statistics toolkit for Node.js and the browser: descriptive stats, correlations (Pearson/Spearman/Kendall), t-tests & ANOVA (Student/Welch), reliability (Cronbach’s alpha), regression (linear/logistic), clustering (DBSCAN/HDBSCAN), and table/co

import test from 'node:test';
import assert from 'node:assert/strict';
import { OneWayAnova } from '../../lib/analyze/compare-means/one-way-anova.js';

test('ANOVA: equal means → small F, p≈1', () => {
  const groups = {
    A: [1,2,3,4,5],
    B: [1,2,3,4,5].map(x=>x+0), // same mean
    C: [1,2,3,4,5].map(x=>x+0)
  };
  const a = new OneWayAnova(groups, false);
  assert.ok(a.F >= 0);
  assert.ok(a.p <= 1 && a.p >= 0);
  assert.ok(a.p > 0.2); // не значимо
});

test('Welch vs classic differ under unequal variances', () => {
  const G1 = [10, 11, 9, 10];
  const G2 = [10, 30, -10, 50, -20];
  const G3 = [12, 13, 12, 11, 14];
  const classic = new OneWayAnova({ G1, G2, G3 }, false);
  const welch   = new OneWayAnova({ G1, G2, G3 }, true);
  assert.notEqual(classic.dfWithin, welch.dfWithin);
  assert.notEqual(classic.F, welch.F);
  assert.ok(classic.p >= 0 && classic.p <= 1);
  assert.ok(welch.p >= 0 && welch.p <= 1);
});