npm package: @stdlib/stats-base-dists-studentized-range-quantile
Description: Studentized range distribution quantile function.
Author: The Stdlib Authors
Latest version: 0.2.2

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</details>

# Quantile Function

[![NPM version][npm-image]][npm-url] [![Build Status][test-image]][test-url] [![Coverage Status][coverage-image]][coverage-url] <!-- [![dependencies][dependencies-image]][dependencies-url] -->

> [Studentized range][studentized-range] distribution [quantile function][quantile-function].

<section class="intro">

</section>

<!-- /.intro -->

<section class="installation">

## Installation

```bash
npm install @stdlib/stats-base-dists-studentized-range-quantile
```

</section>

<section class="usage">

## Usage

```javascript
var quantile = require( '@stdlib/stats-base-dists-studentized-range-quantile' );
```

#### quantile( p, r, v\[, nranges=1] )

Evaluates the [quantile function][quantile-function] for a [studentized range][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.

```javascript
var y = quantile( 0.5, 3.0, 2.0 );
// returns ~1.908

y = quantile( 0.9, 17.0, 2.0 );
// returns ~11.237

y = quantile( 0.5, 3.0, 2.0, 2 );
// returns ~2.549
```

If provided a probability `p` outside the interval `[0,1]`, the function returns `NaN`.

```javascript
var y = quantile( 1.9, 3.0, 2.0 );
// returns NaN

y = quantile( -0.1, 3.0, 2.0 );
// returns NaN
```

If provided `NaN` as any argument, the function returns `NaN`.

```javascript
var y = quantile( NaN, 2.0, 2.0 );
// returns NaN

y = quantile( 0.0, NaN, 2.0 );
// returns NaN
```

If provided `v < 2` or `r < 2`, the function returns `NaN`.

```javascript
var y = quantile( 0.4, -1.0, 3.0 );
// returns NaN

y = quantile( 0.4, 3.0, 1.5 );
// returns NaN
```

#### quantile.factory( r, v\[, nranges=1] )

Returns a function for evaluating the [quantile function][quantile-function] of an [studentized range][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.

```javascript
var myquantile = quantile.factory( 4.0, 3.0 );

var y = myquantile( 0.2 );
// returns ~1.2977

y = myquantile( 0.9 );
// returns ~5.199
```

</section>

<!-- /.usage -->

<section class="examples">

## Examples

<!-- eslint no-undef: "error" -->

```javascript
var uniform = require( '@stdlib/random-array-uniform' );
var logEachMap = require( '@stdlib/console-log-each-map' );
var quantile = require( '@stdlib/stats-base-dists-studentized-range-quantile' );

var opts = {
    'dtype': 'float64'
};
var p = uniform( 10, 0.0, 1.0, opts );
var r = uniform( 10, 2.0, 20.0, opts );
var v = uniform( 10, 2.0, 20.0, opts );

logEachMap( 'p: %0.4f, r: %0.4f, v: %0.4f, Q(p;r,v): %0.4f', p, r, v, quantile );
```

</section>

<!-- /.examples -->

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<section class="related">

</section>

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<section class="main-repo" >

* * *

## Notice

This package is part of [stdlib][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][stdlib], see the main project [repository][stdlib].

#### Community

[![Chat][chat-image]][chat-url]

---

## License

See [LICENSE][stdlib-license].


## Copyright

Copyright &copy; 2016-2026. The Stdlib [Authors][stdlib-authors].

</section>

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[umd]: https://github.com/umdjs/umd
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[deno-url]: https://github.com/stdlib-js/stats-base-dists-studentized-range-quantile/tree/deno
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[umd-url]: https://github.com/stdlib-js/stats-base-dists-studentized-range-quantile/tree/umd
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[stdlib-license]: https://raw.githubusercontent.com/stdlib-js/stats-base-dists-studentized-range-quantile/main/LICENSE

[quantile-function]: https://en.wikipedia.org/wiki/Quantile_function

[studentized-range]: https://en.wikipedia.org/wiki/Studentized_range_distribution

</section>

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