stdlib-jsWe believe in a future in which the web is a preferred environment for numerical computation. To help realize this future, we've built stdlib. stdlib is a standard library, with an emphasis on numerical and scientific computation, written in JavaScript (and C) for execution in browsers and in Node.js.
The library is fully decomposable, being architected in such a way that you can swap out and mix and match APIs and functionality to cater to your exact preferences and use cases.
When you use stdlib, you can be absolutely certain that you are using the most thorough, rigorous, well-written, studied, documented, tested, measured, and high-quality code out there.
To join us in bringing numerical computing to the web, get started by checking us out on GitHub, and please consider financially supporting stdlib. We greatly appreciate your continued support!
Cumulative Distribution Function
[![NPM version][npm-image]][npm-url] [![Build Status][test-image]][test-url] [![Coverage Status][coverage-image]][coverage-url]
[Degenerate distribution][degenerate-distribution] [cumulative distribution function][cdf].
µ is the constant value of the distribution.
bash
npm install @stdlib/stats-base-dists-degenerate-cdf
javascript
var cdf = require( '@stdlib/stats-base-dists-degenerate-cdf' );
#### cdf( x, mu )
Evaluates the [CDF][cdf] of a [degenerate distribution][degenerate-distribution] centered at mu.
javascript
var y = cdf( 2.0, 8.0 );
// returns 0.0
y = cdf( 8.0, 8.0 );
// returns 1.0
y = cdf( 10.0, 8.0 );
// returns 1.0
#### cdf.factory( mu )
Returns a function for evaluating the [cumulative distribution function][cdf] of a [degenerate distribution][degenerate-distribution] centered at mu.
javascript
var mycdf = cdf.factory( 10.0 );
var y = mycdf( 10.0 );
// returns 1.0
y = mycdf( 8.0 );
// returns 0.0
javascript
var randu = require( '@stdlib/random-base-randu' );
var round = require( '@stdlib/math-base-special-round' );
var cdf = require( '@stdlib/stats-base-dists-degenerate-cdf' );
var mu;
var x;
var y;
var i;
for ( i = 0; i < 100; i++ ) {
x = round( randu()*10.0 );
mu = round( randu()*10.0 );
y = cdf( x, mu );
console.log( 'x: %d, µ: %d, F(x;µ): %d', x, mu, y );
}
