Cumulative Distribution Function
Normal distribution cumulative distribution function.
Installation
npm install @stdlib/stats-base-dists-normal-cdf
Usage
var cdf = require( '@stdlib/stats-base-dists-normal-cdf' );
cdf( x, mu, sigma )
Evaluates the cumulative distribution function (CDF) for a normal distribution with parameters mu
(mean) and sigma
(standard deviation).
var y = cdf( 2.0, 0.0, 1.0 );
y = cdf( 0.0, 0.0, 1.0 );
y = cdf( -1.0, 4.0, 2.0 );
If provided NaN
as any argument, the function returns NaN
.
var y = cdf( NaN, 0.0, 1.0 );
y = cdf( 0.0, NaN, 1.0 );
y = cdf( 0.0, 0.0, NaN );
If provided sigma < 0
, the function returns NaN
.
var y = cdf( 2.0, 0.0, -1.0 );
If provided sigma = 0
, the function evaluates the CDF of a degenerate distribution centered at mu
.
var y = cdf( 2.0, 8.0, 0.0 );
y = cdf( 8.0, 8.0, 0.0 );
y = cdf( 10.0, 8.0, 0.0 );
cdf.factory( mu, sigma )
Returns a function for evaluating the cumulative distribution function of a normal distribution with parameters mu
and sigma
.
var mycdf = cdf.factory( 10.0, 2.0 );
var y = mycdf( 10.0 );
y = mycdf( 8.0 );
Examples
var randu = require( '@stdlib/random-base-randu' );
var cdf = require( '@stdlib/stats-base-dists-normal-cdf' );
var sigma;
var mu;
var x;
var y;
var i;
for ( i = 0; i < 10; i++ ) {
x = randu() * 10.0;
mu = (randu() * 10.0) - 5.0;
sigma = randu() * 20.0;
y = cdf( x, mu, sigma );
console.log( 'x: %d, µ: %d, σ: %d, F(x;µ,σ): %d', x, mu, sigma, y );
}
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.
License
See LICENSE.
Copyright
Copyright © 2016-2021. The Stdlib Authors.