@stdlib/stats-base-dists-studentized-range-cdf
v0.2.2
Published
Studentized range cumulative distribution function (CDF).
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Cumulative Distribution Function
Studentized range distribution cumulative distribution function (CDF).
Installation
npm install @stdlib/stats-base-dists-studentized-range-cdf
Usage
var cdf = require( '@stdlib/stats-base-dists-studentized-range-cdf' );
cdf( x, r, v[, nranges=1] )
Evaluates the cumulative distribution function (CDF) for a studentized range distribution with sample size r
and v
degrees of freedom. Optionally, the number of groups whose maximum range is considered can be specified via the nranges
parameter.
var y = cdf( 0.5, 3.0, 2.0 );
// returns ~0.0644
y = cdf( 12.1, 17.0, 2.0 );
// returns ~0.913
y = cdf( 0.5, 3.0, 2.0, 2 );
// returns ~0.01
If provided NaN
as any argument, the function returns NaN
.
var y = cdf( NaN, 2.0, 2.0 );
// returns NaN
y = cdf( 1.5, NaN, 2.0 );
// returns NaN
If provided v < 2
or r < 2
, the function returns NaN
.
var y = cdf( 2.0, -1.0, 3.0 );
// returns NaN
y = cdf( 2.0, 3.0, 1.5 );
// returns NaN
cdf.factory( r, v[, nranges=1] )
Returns a function
for evaluating the cdf of a studentized range distribution with sample size r
and v
degrees of freedom. Optionally. Optionally, the number of groups whose maximum range is considered can be specified via the nranges
parameter.
var mycdf = cdf.factory( 3.0, 2.0 );
var y = mycdf( 3.0 );
// returns ~0.712
y = mycdf( 1.0 );
// returns ~0.216
Examples
var randu = require( '@stdlib/random-base-randu' );
var cdf = require( '@stdlib/stats-base-dists-studentized-range-cdf' );
var v;
var q;
var r;
var y;
var i;
for ( i = 0; i < 10; i++ ) {
q = randu() * 12.0;
r = ( randu() * 20.0 ) + 2.0;
v = ( randu() * 10.0 ) + 2.0;
y = cdf( q, r, v );
console.log( 'q: %d, r: %d, v: %d, F(x;v): %d', q.toFixed( 4 ), r.toFixed( 4 ), v.toFixed( 4 ), y.toFixed( 4 ) );
}
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.
Community
License
See LICENSE.
Copyright
Copyright © 2016-2024. The Stdlib Authors.