README.md

About stdlib...

We 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!

Probability Density Function

Wilcoxon signed rank test statistic probability density function.

Usage

import pdf from 'https://cdn.jsdelivr.net/gh/stdlib-js/stats-base-dists-signrank-pdf@deno/mod.js';

You can also import the following named exports from the package:

import { factory } from 'https://cdn.jsdelivr.net/gh/stdlib-js/stats-base-dists-signrank-pdf@deno/mod.js';

pdf( x, n )

Evaluates the probability density function of the Wilcoxon signed rank test statistic with n observations.

var y = pdf( 7.0, 9 );
// returns ~0.0098

y = pdf( 7.0, 6 );
// returns ~0.063

y = pdf( -1.0, 40 );
// returns 0.0

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

var y = pdf( NaN, 8 );
// returns NaN

y = pdf( 0.0, NaN );
// returns NaN

If provided x < 0, the function returns NaN.

var y = pdf( 2.0, -1.0 );
// returns NaN

If not provided a positive integer for n, the function returns NaN.

var y = pdf( 2.0, 0 );
// returns NaN

y = pdf( 2.0, -2 );
// returns NaN

y = pdf( 2.0, 8.9 );
// returns NaN

pdf.factory( n )

Returns a function for evaluating the probability density function of the Wilcoxon signed rank test statistic with n observations.

var mypdf = pdf.factory( 8 );
var y = mypdf( 4.0 );
// returns ~0.008

y = mypdf( 17.0 );
// returns ~0.051

Examples

import ceil from 'https://cdn.jsdelivr.net/gh/stdlib-js/math-base-special-ceil@deno/mod.js';
import randu from 'https://cdn.jsdelivr.net/gh/stdlib-js/random-base-randu@deno/mod.js';
import pdf from 'https://cdn.jsdelivr.net/gh/stdlib-js/stats-base-dists-signrank-pdf@deno/mod.js';

var n;
var x;
var y;
var i;

for ( i = 0; i < 10; i++ ) {
    x = randu() * 30.0;
    n = ceil( randu() * 30.0 );
    y = pdf( x, n );
    console.log( 'x: %d, n: %d, F(x;n): %d', x.toFixed( 4 ), n.toFixed( 4 ), y.toFixed( 4 ) );
}

---

Notice

This package is part of stdlib, a standard library 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.