Skip to content

Package provides the javascript implementation of various statistics and distribution

License

Notifications You must be signed in to change notification settings

chen0040/js-stats

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

18 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

js-stats

Package provides the implementation of various statistics distribution such as normal distribution, fisher, student-t, and so on

Build Status Coverage Status

Features

  • Normal Distribution

    • cumulativeProbability(Z)
    • invCumulativeProbability(p)
  • Student's T Distribution

    • cumulativeProbability(t_df)
    • invCumulativeProbability(p)
  • Fisher–Snedecor Distribution

    • cumulativeProbabiliyt(F)
  • Chi-Square Distribution

    • cumulativeProbabiliy(ChiSquare)

Install

Run the following npm command to install

npm install js-stats

Usage

Sample code is available at playground

Using with nodejs

jsstats = require('js-stats');

//====================NORMAL DISTRIBUTION====================https://

var mu = 0.0; // mean
var sd = 1.0; // standard deviation
var normal_distribution = new jsstats.NormalDistribution(mu, sd);

var X = 10.0; // point estimate value 
var p = normal_distribution.cumulativeProbability(X); // cumulative probability

var p = 0.7; // cumulative probability
var X = normal_distribution.invCumulativeProbability(p); // point estimate value

//====================T DISTRIBUTION====================https://

var df = 10; // degrees of freedom for t-distribution
var t_distribution = new jsstats.TDistribution(df);

var t_df = 10.0; // point estimate or test statistic
var p = t_distribution.cumulativeProbability(t_df); // cumulative probability

var p = 0.7;
var t_df = t_distribution.invCumulativeProbability(p); // point estimate or test statistic


//====================F DISTRIBUTION====================https://

var df1 = 10; // degrees of freedom for f-distribution
var df2 = 20; // degrees of freedom for f-distribution
var f_distribution = new jsstats.FDistribution(df1, df2);

var F = 10.0; // point estimate or test statistic
var p = f_distribution.cumulativeProbability(F); // cumulative probability


//====================Chi Square DISTRIBUTION====================https://

var df = 10; // degrees of freedom for cs-distribution
var cs_distribution = new jsstats.ChiSquareDistribution(df);

var X = 10.0; // point estimate or test statistic
var p = cs_distribution.cumulativeProbability(X); // cumulative probability

Using with HTML page

About

Package provides the javascript implementation of various statistics and distribution

Topics

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published