@stdlib/stats-base-dists-f NPM

Fisher's F

Fisher's F distribution.

Installation

npm install @stdlib/stats-base-dists-f

Usage

var f = require( '@stdlib/stats-base-dists-f' );

f

Fisher's F distribution.

var dist = f;
// returns {...}

The namespace contains the following distribution functions:

cdf( x, d1, d2 ): F distribution cumulative distribution function.
pdf( x, d1, d2 ): F distribution probability density function (PDF).
quantile( p, d1, d2 ): F distribution quantile function.

The namespace contains the following functions for calculating distribution properties:

entropy( d1, d2 ): F distribution differential entropy.
kurtosis( d1, d2 ): F distribution excess kurtosis.
mean( d1, d2 ): F distribution expected value.
mode( d1, d2 ): F distribution mode.
skewness( d1, d2 ): F distribution skewness.
stdev( d1, d2 ): F distribution standard deviation.
variance( d1, d2 ): F distribution variance.

The namespace contains a constructor function for creating a Fisher's F distribution object.

F( [d1, d2] ): F distribution constructor.

var F = require( '@stdlib/stats-base-dists-f' ).F;

var dist = new F( 2.0, 4.0 );

var y = dist.cdf( 0.5 );
// returns ~0.36

Examples

var objectKeys = require( '@stdlib/utils-keys' );
var f = require( '@stdlib/stats-base-dists-f' );

console.log( objectKeys( f ) );

Notice

This package is part of stdlib, a standard library for JavaScript and Node.js, with an emphasis on numerical and scientific computing. The library provides a collection of robust, high performance libraries for mathematics, statistics, streams, utilities, and more.

For more information on the project, filing bug reports and feature requests, and guidance on how to develop stdlib, see the main project repository.