npm package discovery and stats viewer.

Discover Tips

  • General search

    [free text search, go nuts!]

  • Package details

    pkg:[package-name]

  • User packages

    @[username]

Sponsor

Optimize Toolset

I’ve always been into building performant and accessible sites, but lately I’ve been taking it extremely seriously. So much so that I’ve been building a tool to help me optimize and monitor the sites that I build to make sure that I’m making an attempt to offer the best experience to those who visit them. If you’re into performant, accessible and SEO friendly sites, you might like it too! You can check it out at Optimize Toolset.

About

Hi, 👋, I’m Ryan Hefner  and I built this site for me, and you! The goal of this site was to provide an easy way for me to check the stats on my npm packages, both for prioritizing issues and updates, and to give me a little kick in the pants to keep up on stuff.

As I was building it, I realized that I was actually using the tool to build the tool, and figured I might as well put this out there and hopefully others will find it to be a fast and useful way to search and browse npm packages as I have.

If you’re interested in other things I’m working on, follow me on Twitter or check out the open source projects I’ve been publishing on GitHub.

I am also working on a Twitter bot for this site to tweet the most popular, newest, random packages from npm. Please follow that account now and it will start sending out packages soon–ish.

Open Software & Tools

This site wouldn’t be possible without the immense generosity and tireless efforts from the people who make contributions to the world and share their work via open source initiatives. Thank you 🙏

© 2024 – Pkg Stats / Ryan Hefner

@stdlib/stats-base-dists-arcsine-ctor

v0.2.2

Published

Arcsine distribution constructor.

Downloads

338

Readme

Arcsine

NPM version Build Status Coverage Status

Arcsine distribution constructor.

Installation

npm install @stdlib/stats-base-dists-arcsine-ctor

Usage

var Arcsine = require( '@stdlib/stats-base-dists-arcsine-ctor' );

Arcsine( [a, b] )

Returns an arcsine distribution object.

var arcsine = new Arcsine();

var mu = arcsine.mean;
// returns 0.5

By default, a = 0.0 and b = 1.0. To create a distribution having a different a (minimum support) and b (maximum support), provide the corresponding arguments.

var arcsine = new Arcsine( 2.0, 4.0 );

var mu = arcsine.mean;
// returns 3.0

arcsine

An arcsine distribution object has the following properties and methods...

Writable Properties

arcsine.a

Minimum support of the distribution. a must be a number less than b.

var arcsine = new Arcsine();

var a = arcsine.a;
// returns 0.0

arcsine.a = 0.5;

a = arcsine.a;
// returns 0.5

arcsine.b

Maximum support of the distribution. b must be a number greater than a.

var arcsine = new Arcsine( 2.0, 4.0 );

var b = arcsine.b;
// returns 4.0

arcsine.b = 3.0;

b = arcsine.b;
// returns 3.0

Computed Properties

Arcsine.prototype.entropy

Returns the differential entropy.

var arcsine = new Arcsine( 4.0, 12.0 );

var entropy = arcsine.entropy;
// returns ~1.838

Arcsine.prototype.kurtosis

Returns the excess kurtosis.

var arcsine = new Arcsine( 4.0, 12.0 );

var kurtosis = arcsine.kurtosis;
// returns -1.5

Arcsine.prototype.mean

Returns the expected value.

var arcsine = new Arcsine( 4.0, 12.0 );

var mu = arcsine.mean;
// returns 8.0

Arcsine.prototype.median

Returns the median.

var arcsine = new Arcsine( 4.0, 12.0 );

var median = arcsine.median;
// returns 8.0

Arcsine.prototype.mode

Returns the mode.

var arcsine = new Arcsine( 4.0, 12.0 );

var mode = arcsine.mode;
// returns 4.0

Arcsine.prototype.skewness

Returns the skewness.

var arcsine = new Arcsine( 4.0, 12.0 );

var skewness = arcsine.skewness;
// returns 0.0

Arcsine.prototype.stdev

Returns the standard deviation.

var arcsine = new Arcsine( 4.0, 12.0 );

var s = arcsine.stdev;
// returns ~2.828

Arcsine.prototype.variance

Returns the variance.

var arcsine = new Arcsine( 4.0, 12.0 );

var s2 = arcsine.variance;
// returns 8.0

Methods

Arcsine.prototype.cdf( x )

Evaluates the cumulative distribution function (CDF).

var arcsine = new Arcsine( 2.0, 4.0 );

var y = arcsine.cdf( 2.5 );
// returns ~0.333

Arcsine.prototype.logcdf( x )

Evaluates the natural logarithm of the cumulative distribution function (CDF).

var arcsine = new Arcsine( 2.0, 4.0 );

var y = arcsine.logcdf( 2.5 );
// returns ~-1.1

Arcsine.prototype.logpdf( x )

Evaluates the natural logarithm of the probability density function (PDF).

var arcsine = new Arcsine( 2.0, 4.0 );

var y = arcsine.logpdf( 2.5 );
// returns ~-1.0

Arcsine.prototype.pdf( x )

Evaluates the probability density function (PDF).

var arcsine = new Arcsine( 2.0, 4.0 );

var y = arcsine.pdf( 2.5 );
// returns ~0.368

Arcsine.prototype.quantile( p )

Evaluates the quantile function at probability p.

var arcsine = new Arcsine( 2.0, 4.0 );

var y = arcsine.quantile( 0.5 );
// returns 3.0

y = arcsine.quantile( 1.9 );
// returns NaN

Examples

var Arcsine = require( '@stdlib/stats-base-dists-arcsine-ctor' );

var arcsine = new Arcsine( 2.0, 4.0 );

var mu = arcsine.mean;
// returns 3.0

var median = arcsine.median;
// returns 3.0

var s2 = arcsine.variance;
// returns 0.5

var y = arcsine.cdf( 2.5 );
// returns ~0.333

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

Chat


License

See LICENSE.

Copyright

Copyright © 2016-2024. The Stdlib Authors.