@handsontable/jstat - JavaScript Statistical Library
jStat provides native javascript implementations of statistical functions.
Full details are available in the docs.
jStat provides more functions than most libraries, including the weibull, cauchy, poisson, hypergeometric, and beta distributions.
For most distributions, jStat provides the pdf, cdf, inverse, mean, mode, variance, and a sample function, allowing for more complex calculations.Table of contents
1. Installation 2. Getting Started 3. Building jStat 4. Running Tests 5. Get the Code 6. Contributing 7. LicensingInstallation
Use npm to download the project.npm install @handsontable/jstat
Getting Started
jStat can be used in the browser. ThejStat
object will be added to the window. For example:<script src="https://cdn.jsdelivr.net/npm/@handsontable/jstat/dist/jstat.min.js"></script> <!-- include jStat, from the CDN or otherwise -->
<script>
var jstat = this.jStat(dataset); // jStat will be added to the window
data[i]['cum'] = jstat.normal(jstat.mean(), jstat.stdev()).cdf(data[i].x);
</script>
Using jStat in Node environment.
const jStat = require('@handsontable/jstat');
data[i]['cum'] = jStat.normal(jStat.mean(), jStat.stdev()).cdf(data[i].x);
Building jStat
First, clone a copy of the jStat git repo by runninggit clone https://github.com/handsontable/jstat.git
.To download all necessary dependencies run
npm install
in the cloned repository.Then, to get a complete, minified version of jStat and all documentation, simply type
npm run all
.The built version of jStat will be put in the
dist/
subdirectory.Generate just the documentation by running
npm run doc
. Documentation will be placed in dist/docs
by default.To remove all built files, run
npm run clean
.Running Tests
Execute all tests by runningnpm run test
.Or if you wish to run a specific test,
cd
to test/<subdir>
and run node <some_test>-test.js
.Get the Code
Both the minified and unminified source are located in thedist/
directory. For those who don't want to build
it themselves.