als-statistics/docs/01-first-steps/01-usage.md

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

## Installation

```bash
npm i als-statistics
```

## Usage in browser

```html
<script type="module" src="/node_modules/als-statistics/lib/index.js"></script>
or
<script src="/node_modules/als-statistics/statistics.js"></script>
or
<script type="module">
   import Statistics from '/node_modules/als-statistics/lib/index.js'

</script>
```

## NodeJS

```js
import { Analyze, Stats, Table, Column } from 'als-statistics';
// or
const { Analyze, Stats, Table, Column } = require('als-statistics/statistics.cjs')

const { CDF, CompareMeans, Correlate, Clustering, Regression } = Analyze;

const { constants, t, f, phi } = CDF;
const { IndependentTTest, OneWayAnova, PairedTTest, OneSampleTTest } = CompareMeans;
const { CronbachAlpha, Pearson, Spearman, Kendall } = Correlate;
const { Dbscan, Hdbscan, computeDistances } = Clustering;
const { LinearRegression, LogisticRegression } = Regression;

// Descriptive stats (one-liners)
const {
   sum, mean,median,mode, min, max, // central tendency
   variance, varianceSample, stdDev, stdDevSample, cv, range, iqr, mad, // dispersion & scale
   percentile, q1, q3, p10, p90, // position & percentiles
   zScore, zScores, zScoresSorted, outliersZScore, outliersIQR,  // z-scores & outliers
   weightedMean, confidenceInterval, slope, regressionSlope,  // misc
   spectralPowerDensityArray, spectralPowerDensityMetric,
   sorted, ma, sumOfSquares, flatness, skewness, kurtosis,  // other statistics
   skewnessSample, kurtosisSample, geometricMean, harmonicMean,
   noiseStability, frequencies, relativeFrequencies, 
   relativeDispersion, normalizedValues, xValues, 
   recode, // recode values
  } = Stats;
```

> The package is modular — import only what you use.

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