@stdlib/stats-incr

Standard library functions for computing statistics incrementally.

Science Score: 44.0%

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Keywords

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

Last synced: 6 months ago · JSON representation ·

Repository

Standard library functions for computing statistics incrementally.

Basic Info

Host: GitHub
Owner: stdlib-js
License: apache-2.0
Language: JavaScript
Default Branch: main
Homepage: https://github.com/stdlib-js/stdlib
Size: 8.66 MB

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Topics

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

Created over 4 years ago · Last pushed 6 months ago

Metadata Files

Readme Changelog Contributing License Code of conduct Citation Security

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!

Incremental Statistics

Incremental statistics.

## Installation ```bash npm install @stdlib/stats-incr ``` 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 ns = require( '@stdlib/stats-incr' ); ``` #### ns Namespace containing functions for computing statistics incrementally. ```javascript var incr = ns; // returns {...} ```

- [`incrapcorr( [mx, my] )`][@stdlib/stats/incr/apcorr]: compute a sample absolute Pearson product-moment correlation coefficient incrementally. - [`incrcount()`][@stdlib/stats/incr/count]: compute a count incrementally. - [`incrcovariance( [mx, my] )`][@stdlib/stats/incr/covariance]: compute an unbiased sample covariance incrementally. - [`incrcovmat( out[, means] )`][@stdlib/stats/incr/covmat]: compute an unbiased sample covariance matrix incrementally. - [`incrcv( [mean] )`][@stdlib/stats/incr/cv]: compute the coefficient of variation (CV) incrementally. - [`increwmean( alpha )`][@stdlib/stats/incr/ewmean]: compute an exponentially weighted mean incrementally. - [`increwstdev( alpha )`][@stdlib/stats/incr/ewstdev]: compute an exponentially weighted standard deviation incrementally. - [`increwvariance( alpha )`][@stdlib/stats/incr/ewvariance]: compute an exponentially weighted variance incrementally. - [`incrgmean()`][@stdlib/stats/incr/gmean]: compute a geometric mean incrementally. - [`incrgrubbs( [options] )`][@stdlib/stats/incr/grubbs]: grubbs' test for outliers. - [`incrhmean()`][@stdlib/stats/incr/hmean]: compute a harmonic mean incrementally. - [`incrkurtosis()`][@stdlib/stats/incr/kurtosis]: compute a corrected sample excess kurtosis incrementally. - [`incrmaape()`][@stdlib/stats/incr/maape]: compute the mean arctangent absolute percentage error (MAAPE) incrementally. - [`incrmae()`][@stdlib/stats/incr/mae]: compute the mean absolute error (MAE) incrementally. - [`incrmapcorr( window[, mx, my] )`][@stdlib/stats/incr/mapcorr]: compute a moving sample absolute Pearson product-moment correlation coefficient incrementally. - [`incrmape()`][@stdlib/stats/incr/mape]: compute the mean absolute percentage error (MAPE) incrementally. - [`incrmax()`][@stdlib/stats/incr/max]: compute a maximum value incrementally. - [`incrmaxabs()`][@stdlib/stats/incr/maxabs]: compute a maximum absolute value incrementally. - [`incrmcovariance( window[, mx, my] )`][@stdlib/stats/incr/mcovariance]: compute a moving unbiased sample covariance incrementally. - [`incrmcv( window[, mean] )`][@stdlib/stats/incr/mcv]: compute a moving coefficient of variation (CV) incrementally. - [`incrmda()`][@stdlib/stats/incr/mda]: compute the mean directional accuracy (MDA) incrementally. - [`incrme()`][@stdlib/stats/incr/me]: compute the mean error (ME) incrementally. - [`incrmean()`][@stdlib/stats/incr/mean]: compute an arithmetic mean incrementally. - [`incrmeanabs()`][@stdlib/stats/incr/meanabs]: compute an arithmetic mean of absolute values incrementally. - [`incrmeanabs2()`][@stdlib/stats/incr/meanabs2]: compute an arithmetic mean of squared absolute values incrementally. - [`incrmeanstdev( [out] )`][@stdlib/stats/incr/meanstdev]: compute an arithmetic mean and a corrected sample standard deviation incrementally. - [`incrmeanvar( [out] )`][@stdlib/stats/incr/meanvar]: compute an arithmetic mean and an unbiased sample variance incrementally. - [`incrmgmean( window )`][@stdlib/stats/incr/mgmean]: compute a moving geometric mean incrementally. - [`incrmgrubbs( window[, options] )`][@stdlib/stats/incr/mgrubbs]: moving Grubbs' test for outliers. - [`incrmhmean( window )`][@stdlib/stats/incr/mhmean]: compute a moving harmonic mean incrementally. - [`incrmidrange()`][@stdlib/stats/incr/midrange]: compute a mid-range incrementally. - [`incrmin()`][@stdlib/stats/incr/min]: compute a minimum value incrementally. - [`incrminabs()`][@stdlib/stats/incr/minabs]: compute a minimum absolute value incrementally. - [`incrminmax( [out] )`][@stdlib/stats/incr/minmax]: compute a minimum and maximum incrementally. - [`incrminmaxabs( [out] )`][@stdlib/stats/incr/minmaxabs]: compute minimum and maximum absolute values incrementally. - [`incrmmaape( window )`][@stdlib/stats/incr/mmaape]: compute a moving mean arctangent absolute percentage error (MAAPE) incrementally. - [`incrmmae( window )`][@stdlib/stats/incr/mmae]: compute a moving mean absolute error (MAE) incrementally. - [`incrmmape( window )`][@stdlib/stats/incr/mmape]: compute a moving mean absolute percentage error incrementally. - [`incrmmax( window )`][@stdlib/stats/incr/mmax]: compute a moving maximum value incrementally. - [`incrmmaxabs( window )`][@stdlib/stats/incr/mmaxabs]: compute a moving maximum absolute value incrementally. - [`incrmmda( window )`][@stdlib/stats/incr/mmda]: compute a moving mean directional accuracy (MDA) incrementally. - [`incrmme( window )`][@stdlib/stats/incr/mme]: compute a moving mean error (ME) incrementally. - [`incrmmean( window )`][@stdlib/stats/incr/mmean]: compute a moving arithmetic mean incrementally. - [`incrmmeanabs( window )`][@stdlib/stats/incr/mmeanabs]: compute a moving arithmetic mean of absolute values incrementally. - [`incrmmeanabs2( window )`][@stdlib/stats/incr/mmeanabs2]: compute a moving arithmetic mean of squared absolute values incrementally. - [`incrmmeanstdev( [out,] window )`][@stdlib/stats/incr/mmeanstdev]: compute a moving arithmetic mean and corrected sample standard deviation incrementally. - [`incrmmeanvar( [out,] window )`][@stdlib/stats/incr/mmeanvar]: compute a moving arithmetic mean and unbiased sample variance incrementally. - [`incrmmidrange( window )`][@stdlib/stats/incr/mmidrange]: compute a moving mid-range incrementally. - [`incrmmin( window )`][@stdlib/stats/incr/mmin]: compute a moving minimum value incrementally. - [`incrmminabs( window )`][@stdlib/stats/incr/mminabs]: compute a moving minimum absolute value incrementally. - [`incrmminmax( [out,] window )`][@stdlib/stats/incr/mminmax]: compute a moving minimum and maximum incrementally. - [`incrmminmaxabs( [out,] window )`][@stdlib/stats/incr/mminmaxabs]: compute moving minimum and maximum absolute values incrementally. - [`incrmmpe( window )`][@stdlib/stats/incr/mmpe]: compute a moving mean percentage error (MPE) incrementally. - [`incrmmse( window )`][@stdlib/stats/incr/mmse]: compute a moving mean squared error (MSE) incrementally. - [`incrmpcorr( window[, mx, my] )`][@stdlib/stats/incr/mpcorr]: compute a moving sample Pearson product-moment correlation coefficient incrementally. - [`incrmpcorr2( window[, mx, my] )`][@stdlib/stats/incr/mpcorr2]: compute a moving squared sample Pearson product-moment correlation coefficient incrementally. - [`incrmpcorrdist( window[, mx, my] )`][@stdlib/stats/incr/mpcorrdist]: compute a moving sample Pearson product-moment correlation distance incrementally. - [`incrmpe()`][@stdlib/stats/incr/mpe]: compute the mean percentage error (MPE) incrementally. - [`incrmprod( window )`][@stdlib/stats/incr/mprod]: compute a moving product incrementally. - [`incrmrange( window )`][@stdlib/stats/incr/mrange]: compute a moving range incrementally. - [`incrmrmse( window )`][@stdlib/stats/incr/mrmse]: compute a moving root mean squared error (RMSE) incrementally. - [`incrmrss( window )`][@stdlib/stats/incr/mrss]: compute a moving residual sum of squares (RSS) incrementally. - [`incrmse()`][@stdlib/stats/incr/mse]: compute the mean squared error (MSE) incrementally. - [`incrmstdev( window[, mean] )`][@stdlib/stats/incr/mstdev]: compute a moving corrected sample standard deviation incrementally. - [`incrmsum( window )`][@stdlib/stats/incr/msum]: compute a moving sum incrementally. - [`incrmsumabs( window )`][@stdlib/stats/incr/msumabs]: compute a moving sum of absolute values incrementally. - [`incrmsumabs2( window )`][@stdlib/stats/incr/msumabs2]: compute a moving sum of squared absolute values incrementally. - [`incrmsummary( window )`][@stdlib/stats/incr/msummary]: compute a moving statistical summary incrementally. - [`incrmsumprod( window )`][@stdlib/stats/incr/msumprod]: compute a moving sum of products incrementally. - [`incrmvariance( window[, mean] )`][@stdlib/stats/incr/mvariance]: compute a moving unbiased sample variance incrementally. - [`incrmvmr( window[, mean] )`][@stdlib/stats/incr/mvmr]: compute a moving variance-to-mean ratio (VMR) incrementally. - [`incrnancount()`][@stdlib/stats/incr/nancount]: compute a count incrementally, ignoring `NaN` values. - [`incrnansum()`][@stdlib/stats/incr/nansum]: compute a sum incrementally, ignoring `NaN` values. - [`incrnansumabs()`][@stdlib/stats/incr/nansumabs]: compute a sum of absolute values incrementally, ignoring `NaN` values. - [`incrnansumabs2()`][@stdlib/stats/incr/nansumabs2]: compute a sum of squared absolute values incrementally, ignoring `NaN` values. - [`incrpcorr( [mx, my] )`][@stdlib/stats/incr/pcorr]: compute a sample Pearson product-moment correlation coefficient incrementally. - [`incrpcorr2( [mx, my] )`][@stdlib/stats/incr/pcorr2]: compute a squared sample Pearson product-moment correlation coefficient incrementally. - [`incrpcorrdist( [mx, my] )`][@stdlib/stats/incr/pcorrdist]: compute a sample Pearson product-moment correlation distance incrementally. - [`incrpcorrdistmat( out[, means] )`][@stdlib/stats/incr/pcorrdistmat]: compute a sample Pearson product-moment correlation distance matrix incrementally. - [`incrpcorrmat( out[, means] )`][@stdlib/stats/incr/pcorrmat]: compute a sample Pearson product-moment correlation matrix incrementally. - [`incrprod()`][@stdlib/stats/incr/prod]: compute a product incrementally. - [`incrrange()`][@stdlib/stats/incr/range]: compute a range incrementally. - [`incrrmse()`][@stdlib/stats/incr/rmse]: compute the root mean squared error (RMSE) incrementally. - [`incrrss()`][@stdlib/stats/incr/rss]: compute the residual sum of squares (RSS) incrementally. - [`incrskewness()`][@stdlib/stats/incr/skewness]: compute a corrected sample skewness incrementally. - [`incrstdev( [mean] )`][@stdlib/stats/incr/stdev]: compute a corrected sample standard deviation incrementally. - [`incrsum()`][@stdlib/stats/incr/sum]: compute a sum incrementally. - [`incrsumabs()`][@stdlib/stats/incr/sumabs]: compute a sum of absolute values incrementally. - [`incrsumabs2()`][@stdlib/stats/incr/sumabs2]: compute a sum of squared absolute values incrementally. - [`incrsummary()`][@stdlib/stats/incr/summary]: compute a statistical summary incrementally. - [`incrsumprod()`][@stdlib/stats/incr/sumprod]: compute a sum of products incrementally. - [`incrvariance( [mean] )`][@stdlib/stats/incr/variance]: compute an unbiased sample variance incrementally. - [`incrvmr( [mean] )`][@stdlib/stats/incr/vmr]: compute a variance-to-mean ratio (VMR) incrementally. - [`incrwmean()`][@stdlib/stats/incr/wmean]: compute a weighted arithmetic mean incrementally.

## Examples ```javascript var getKeys = require( '@stdlib/utils-keys' ); var ns = require( '@stdlib/stats-incr' ); console.log( getKeys( ns ) ); ```

* * * ## 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

Website: https://stdlib.io
Twitter: stdlibjs
Repositories: 3,692
Profile: https://github.com/stdlib-js

Standard library for JavaScript.

Citation (CITATION.cff)

cff-version: 1.2.0
title: stdlib
message: >-
  If you use this software, please cite it using the
  metadata from this file.

type: software

authors:
  - name: The Stdlib Authors
    url: https://github.com/stdlib-js/stdlib/graphs/contributors

repository-code: https://github.com/stdlib-js/stdlib
url: https://stdlib.io

abstract: |
  Standard library for JavaScript and Node.js.

keywords:
  - JavaScript
  - Node.js
  - TypeScript
  - standard library
  - scientific computing
  - numerical computing
  - statistical computing

license: Apache-2.0 AND BSL-1.0

date-released: 2016

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npmjs.org: @stdlib/stats-incr

Incremental statistics.

Homepage: https://stdlib.io
License: Apache-2.0
Latest release: 0.2.2
published over 1 year ago

Versions: 10
Dependent Packages: 2
Dependent Repositories: 2
Downloads: 119 Last month

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Average: 13.7%

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Downloads: 19.5%

Maintainers (4)

planeshifter rreusser stdlib-bot kgryte

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Dependencies

package.json npm

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.github/workflows/test_coverage.yml actions

act10ns/slack v1 composite
actions/checkout v3 composite
actions/setup-node v3 composite
codecov/codecov-action v3 composite
distributhor/workflow-webhook v3 composite

.github/workflows/test_install.yml actions

act10ns/slack v1 composite
actions/checkout v3 composite
actions/setup-node v3 composite

@stdlib/stats-incr

Science Score: 44.0%

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