als-statistics/tests/golden/tools/ttest.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

// ПУТИ ИМПОРТОВ подстрой под свою библиотеку!
import { IndependentTTest } from '../../../lib/analyze/compare-means/independent-t-test.js';
import { makeRng } from '../_rng.js';

export const ttestTool = {
  id: 'ttest',
  cases: 8,
  gen(seed, i) {
    const R = makeRng(`${seed}/tt/${i}`);
    const n1 = 12 + (i % 5);
    const n2 = 10 + ((i + 2) % 5);
    return { A: R.normal(0, 1, n1), B: R.normal(0.5, 1.8, n2) };
  },
  compute(input) {
    const pooled = new IndependentTTest(input, false);
    const welch  = new IndependentTTest(input, true);
    return {
      pooled: { t: pooled.t, df: pooled.df, p: pooled.p, F: pooled.F },
      welch:  { t: welch.t,  df: welch.df,  p: welch.p,  F: welch.F  },
    };
  },
  compare(expected, recomputed, approx) {
    ['pooled','welch'].forEach(k => {
      approx(recomputed[k].t,  expected[k].t);
      approx(recomputed[k].df, expected[k].df);
      approx(recomputed[k].p,  expected[k].p);
      approx(recomputed[k].F,  expected[k].F);
    });
  },
};