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Quantile Function
Student's t distribution quantile function.
Installation
npm install @stdlib/stats-base-dists-t-quantile
Usage
var quantile = require( '@stdlib/stats-base-dists-t-quantile' );
quantile( p, v )
Evaluates the quantile function for a Student's t distribution with degrees of freedom v
.
var y = quantile( 0.8, 1.0 );
y = quantile( 0.1, 1.0 );
y = quantile( 0.5, 0.1 );
If provided a probability p
outside the interval [0,1]
, the function returns NaN
.
var y = quantile( 1.9, 1.0 );
y = quantile( -0.1, 1.0 );
If provided NaN
as any argument, the function returns NaN
.
var y = quantile( NaN, 1.0 );
y = quantile( 0.0, NaN );
If provided v <= 0
, the function returns NaN
.
var y = quantile( 0.4, -1.0 );
y = quantile( 0.4, 0.0 );
quantile.factory( v )
Returns a function for evaluating the quantile function of an Student's t distribution with degrees of freedom v
.
var myquantile = quantile.factory( 4.0 );
var y = myquantile( 0.2 );
y = myquantile( 0.9 );
Examples
var randu = require( '@stdlib/random-base-randu' );
var quantile = require( '@stdlib/stats-base-dists-t-quantile' );
var v;
var p;
var y;
var i;
for ( i = 0; i < 10; i++ ) {
p = randu();
v = randu() * 10.0;
y = quantile( p, v );
console.log( 'p: %d, v: %d, Q(p;v): %d', p.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.
License
See LICENSE.
Copyright
Copyright © 2016-2024. The Stdlib Authors.