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@stdlib/stats

Standard library statistical functions.

https://github.com/stdlib-js/stats

Science Score: 26.0%

This score indicates how likely this project is to be science-related based on various indicators:

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    CITATION.cff file
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    Found codemeta.json file
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    Found .zenodo.json file
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    Scientific vocabulary similarity
    Low similarity (14.7%) to scientific vocabulary

Keywords

javascript lib library math mathematics node node-js nodejs standard statistics stats stdlib

Keywords from Contributors

iterator tokenizer accumulator name capitals assert reduced normal partial bifurcate
Last synced: 6 months ago · JSON representation

Repository

Standard library statistical functions.

Basic Info
  • Host: GitHub
  • Owner: stdlib-js
  • License: apache-2.0
  • Language: JavaScript
  • Default Branch: main
  • Size: 892 MB
Statistics
  • Stars: 10
  • Watchers: 3
  • Forks: 0
  • Open Issues: 0
  • Releases: 0
Topics
javascript lib library math mathematics node node-js nodejs standard statistics stats stdlib
Created almost 5 years ago · Last pushed 6 months ago
Metadata Files
Readme Changelog Contributing License Code of conduct Citation Security

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!

Stats

NPM version Build Status Coverage Status <!-- dependencies -->

Statistical functions.

## Installation ```bash npm install @stdlib/stats ``` Alternatively, - To load the package in a website via a `script` tag without installation and bundlers, use the [ES Module][es-module] available on the [`esm`][esm-url] branch (see [README][esm-readme]). - If you are using Deno, visit the [`deno`][deno-url] branch (see [README][deno-readme] for usage intructions). - For use in Observable, or in browser/node environments, use the [Universal Module Definition (UMD)][umd] build available on the [`umd`][umd-url] branch (see [README][umd-readme]). The [branches.md][branches-url] file summarizes the available branches and displays a diagram illustrating their relationships. To view installation and usage instructions specific to each branch build, be sure to explicitly navigate to the respective README files on each branch, as linked to above.
## Usage ```javascript var statistics = require( '@stdlib/stats' ); ``` #### statistics Namespace containing statistical functions. ```javascript var stats = statistics; // returns {...} ``` The namespace exposes the following statistical tests:
- [`anova1( x, factor[, opts] )`][@stdlib/stats/anova1]: perform a one-way analysis of variance. - [`bartlettTest( a[,b,...,k][, opts] )`][@stdlib/stats/bartlett-test]: compute Bartletts test for equal variances. - [`binomialTest( x[, n][, opts] )`][@stdlib/stats/binomial-test]: exact test for the success probability in a Bernoulli experiment. - [`chi2gof( x, y[, ...args][, options] )`][@stdlib/stats/chi2gof]: perform a chi-square goodness-of-fit test. - [`chi2test( x[, options] )`][@stdlib/stats/chi2test]: perform a chi-square independence test. - [`flignerTest( a[,b,...,k][, opts] )`][@stdlib/stats/fligner-test]: compute the Fligner-Killeen test for equal variances. - [`kruskalTest( a[,b,...,k][, opts] )`][@stdlib/stats/kruskal-test]: compute the Kruskal-Wallis test for equal medians. - [`kstest( x, y[, ...params][, opts] )`][@stdlib/stats/kstest]: one-sample Kolmogorov-Smirnov goodness-of-fit test. - [`leveneTest( x[, y, ..., z][, opts] )`][@stdlib/stats/levene-test]: compute Levene's test for equal variances. - [`pcorrtest( x, y[, opts] )`][@stdlib/stats/pcorrtest]: compute a Pearson product-moment correlation test between paired samples. - [`ttest( x[, y][, opts] )`][@stdlib/stats/ttest]: one-sample and paired Student's t-Test. - [`ttest2( x, y[, opts] )`][@stdlib/stats/ttest2]: two-sample Student's t-Test. - [`vartest( x, y[, opts] )`][@stdlib/stats/vartest]: two-sample F-test for equal variances. - [`wilcoxon( x[, y][, opts] )`][@stdlib/stats/wilcoxon]: one-sample and paired Wilcoxon signed rank test. - [`ztest( x, sigma[, opts] )`][@stdlib/stats/ztest]: one-sample z-Test. - [`ztest2( x, y, sigmax, sigmay[, opts] )`][@stdlib/stats/ztest2]: two-sample z-Test.
In addition, it contains an assortment of functions for computing statistics incrementally as part of the `incr` sub-namespace and functions for computing statistics over iterators in the `iterators` namespace.
- [`incr`][@stdlib/stats/incr]: incremental statistics. - [`iterators`][@stdlib/stats/iter]: statistical function iterators.
The namespace further contains functions for computing statistics on arrays as part of the `array` sub-namespace and functions for computing statistics on strided arrays in the `strided` namespace.
- [`array`][@stdlib/stats/array]: statistical functions for arrays. - [`strided`][@stdlib/stats/strided]: statistical operations for strided arrays.
The `base` sub-namespace contains lower-level statistical functions, including a `dists` namespace containing functions related to a wide assortment of probability distributions.
- [`base`][@stdlib/stats/base]: base (i.e., lower-level) statistical functions.
Other statistical functions included are:
- [`cumax( x[, options] )`][@stdlib/stats/cumax]: compute the cumulative maximum value along one or more ndarray dimensions. - [`kde2d()`][@stdlib/stats/kde2d]: two-dimensional kernel density estimation. - [`lowess( x, y[, opts] )`][@stdlib/stats/lowess]: locally-weighted polynomial regression via the LOWESS algorithm. - [`maxBy( x[, options], clbk[, thisArg] )`][@stdlib/stats/max-by]: compute the maximum value along one or more ndarray dimensions according to a callback function. - [`max( x[, options] )`][@stdlib/stats/max]: compute the maximum value along one or more ndarray dimensions. - [`padjust( pvals, method[, comparisons] )`][@stdlib/stats/padjust]: adjust supplied p-values for multiple comparisons. - [`ranks( arr[, opts] )`][@stdlib/stats/ranks]: compute ranks for values of an array-like object.
## Examples ```javascript var objectKeys = require( '@stdlib/utils/keys' ); var statistics = require( '@stdlib/stats' ); console.log( objectKeys( statistics ) ); ```
* * * ## 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 © 2016-2025. The Stdlib [Authors][stdlib-authors].

Owner

  • Name: stdlib
  • Login: stdlib-js
  • Kind: organization

Standard library for JavaScript.

Committers

Last synced: 11 months ago

All Time
  • Total Commits: 1,004
  • Total Committers: 2
  • Avg Commits per committer: 502.0
  • Development Distribution Score (DDS): 0.001
Past Year
  • Commits: 809
  • Committers: 1
  • Avg Commits per committer: 809.0
  • Development Distribution Score (DDS): 0.0
Top Committers
Name Email Commits
stdlib-bot n****y@s****o 1,003
Philipp Burckhardt p****t@o****m 1
Committer Domains (Top 20 + Academic)
stdlib.io: 1

Issues and Pull Requests

Last synced: 6 months ago

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  • Total issues: 0
  • Total pull requests: 0
  • Average time to close issues: N/A
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  • Average comments per issue: 0
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Packages

  • Total packages: 1
  • Total downloads:
    • npm 90,073 last-month
  • Total docker downloads: 481,210,190
  • Total dependent packages: 12
  • Total dependent repositories: 263
  • Total versions: 22
  • Total maintainers: 4
npmjs.org: @stdlib/stats

Standard library statistical functions.

  • Homepage: https://stdlib.io
  • License: Apache-2.0
  • Latest release: 0.3.3
    published over 1 year ago
  • Versions: 22
  • Dependent Packages: 12
  • Dependent Repositories: 263
  • Downloads: 90,073 Last month
  • Docker Downloads: 481,210,190
Rankings
Docker downloads count: 0.1%
Downloads: 0.6%
Dependent repos count: 1.0%
Dependent packages count: 1.8%
Average: 5.1%
Stargazers count: 11.5%
Forks count: 15.4%
Maintainers (4)
planeshifter rreusser stdlib-bot kgryte
Funding
  • type: opencollective
  • url: https://opencollective.com/stdlib
Last synced: 6 months ago

Dependencies

base/dists/cauchy/pdf/benchmark/r/DESCRIPTION cran
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