simple-statistics

What is simple-statistics?

The simple-statistics npm package provides a comprehensive set of statistical tools and functions for performing various statistical analyses. It is designed to be easy to use and covers a wide range of statistical operations, from basic descriptive statistics to more complex regression analysis.

What are simple-statistics's main functionalities?

Descriptive Statistics

This feature allows you to calculate basic descriptive statistics such as mean, median, and variance. The code sample demonstrates how to compute these statistics for a given dataset.

const ss = require('simple-statistics');
const data = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10];
const mean = ss.mean(data);
const median = ss.median(data);
const variance = ss.variance(data);
console.log(`Mean: ${mean}, Median: ${median}, Variance: ${variance}`);

Probability Distributions

This feature provides functions to work with various probability distributions, including normal and binomial distributions. The code sample shows how to generate a random normal value and a binomial distribution.

const ss = require('simple-statistics');
const normal = ss.randomNormal(0, 1);
const binomial = ss.binomialDistribution(10, 0.5);
console.log(`Random Normal Value: ${normal}, Binomial Distribution: ${binomial}`);

Regression Analysis

This feature allows you to perform regression analysis, including linear regression. The code sample demonstrates how to compute a linear regression line for a given dataset.

const ss = require('simple-statistics');
const data = [[0, 1], [1, 2], [2, 3], [3, 4], [4, 5]];
const regression = ss.linearRegression(data);
const regressionLine = ss.linearRegressionLine(regression);
console.log(`Regression Line: y = ${regression.m}x + ${regression.b}`);

Hypothesis Testing

This feature provides functions for performing hypothesis testing, such as t-tests. The code sample shows how to perform a two-sample t-test on two datasets.

const ss = require('simple-statistics');
const tTest = ss.tTestTwoSample([1, 2, 3, 4, 5], [6, 7, 8, 9, 10]);
console.log(`T-Test Result: ${tTest}`);

Other packages similar to simple-statistics

jstat

jstat is a JavaScript library for statistical operations. It offers a wide range of statistical functions similar to simple-statistics, including descriptive statistics, probability distributions, and hypothesis testing. However, jstat has a more extensive API and supports matrix operations, making it suitable for more complex statistical analyses.

mathjs

mathjs is a comprehensive mathematics library for JavaScript and Node.js. It includes a variety of mathematical functions, including statistical operations. While it is not solely focused on statistics like simple-statistics, it provides a broader range of mathematical tools, making it a versatile choice for projects that require both statistical and general mathematical computations.

ssjs

ssjs (Statistical Software in JavaScript) is another library that provides statistical functions for JavaScript. It offers similar functionalities to simple-statistics, such as descriptive statistics and probability distributions. However, ssjs is less popular and has a smaller community compared to simple-statistics, which may affect the availability of support and updates.

README

Simple Statistics

A JavaScript implementation of descriptive, regression, and inference statistics.

Implemented in literate JavaScript with no dependencies, designed to work in all modern browsers (including IE) as well as in node.js.

:green_book: API Documentation

Installation

For node.js, browserify, and/or webpack users, install from npm:

npm install simple-statistics

Available on bower as simple-statistics.

For script-tag inclusion, distributions are available under the dist/ directory.

Also available on cdnjs and jsdelivr.

Examples

• Linear regression with simple-statistics and d3js
• Jenks Natural Breaks with a choropleth map with d3js
• Embedded statistics in a spreadsheet with nxsheet: regression and stddev

Changelog

2.0.0

New features:

• product: returns the product of a series of numbers
• medianSorted: exposes the internal method of median that only operates on sorted arrays and works in constant time
• modeSorted: exposes the internal method of mode and works in linear time.

Specifications:

• Adds Flow annotations to all methods, allowing up-front typechecking if you use Flow in your application.

Changes:

• Invalid input now uniformly produces the value NaN instead of previously a mix of null and undefined.
• The method sortedUniqueCount is now called uniqueCountSorted to match the other sorted methods, medianSorted and modeSorted

Fixes:

• equalIntervalBreaks was not exported by index.js, and now is.