Package Exports
- @stdlib/stats-base-dists-t-quantile
- @stdlib/stats-base-dists-t-quantile/lib/index.js
This package does not declare an exports field, so the exports above have been automatically detected and optimized by JSPM instead. If any package subpath is missing, it is recommended to post an issue to the original package (@stdlib/stats-base-dists-t-quantile) to support the "exports" field. If that is not possible, create a JSPM override to customize the exports field for this package.
Readme
Quantile Function
Student's t distribution quantile function.
The quantile function for a Student's t random variable is
for 0 <= p <= 1
, where v > 0
is the degrees of freedom.
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 );
// returns ~1.376
y = quantile( 0.1, 1.0 );
// returns ~-3.078
y = quantile( 0.5, 0.1 );
// returns 0.0
If provided a probability p
outside the interval [0,1]
, the function returns NaN
.
var y = quantile( 1.9, 1.0 );
// returns NaN
y = quantile( -0.1, 1.0 );
// returns NaN
If provided NaN
as any argument, the function returns NaN
.
var y = quantile( NaN, 1.0 );
// returns NaN
y = quantile( 0.0, NaN );
// returns NaN
If provided v <= 0
, the function returns NaN
.
var y = quantile( 0.4, -1.0 );
// returns NaN
y = quantile( 0.4, 0.0 );
// returns NaN
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 );
// returns ~-0.941
y = myquantile( 0.9 );
// returns ~1.533
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.
Community
License
See LICENSE.
Copyright
Copyright © 2016-2022. The Stdlib Authors.