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stats-strided-dnanvariancepn

Calculate the variance of a double-precision floating-point strided array ignoring NaN values and using a two-pass algorithm.

https://github.com/vpkmusic1/stats-strided-dnanvariancepn

Science Score: 44.0%

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    Low similarity (11.7%) to scientific vocabulary

Keywords

array deviation dispersion javascript nodejs statistics stats stdlib strided strided-array typed unbiased var variance
Last synced: 6 months ago · JSON representation ·

Repository

Calculate the variance of a double-precision floating-point strided array ignoring NaN values and using a two-pass algorithm.

Basic Info
  • Host: GitHub
  • Owner: vpkmusic1
  • License: apache-2.0
  • Language: JavaScript
  • Default Branch: main
  • Size: 71.3 KB
Statistics
  • Stars: 0
  • Watchers: 1
  • Forks: 0
  • Open Issues: 0
  • Releases: 1
Topics
array deviation dispersion javascript nodejs statistics stats stdlib strided strided-array typed unbiased var variance
Created 11 months ago · Last pushed 6 months ago
Metadata Files
Readme Changelog Contributing License Code of conduct Citation Security

README.md

Calculating Variance of Strided Arrays in JavaScript

Welcome to the "stats-strided-dnanvariancepn" repository! Here, we provide a JavaScript solution to calculate the variance of a double-precision floating-point strided array, while ignoring NaN values. We implement a two-pass algorithm to efficiently handle the calculations.

If you are interested in working with arrays, handling deviation, or exploring statistics in JavaScript, this repository is for you. Our implementation focuses on providing a reliable and efficient method for calculating the sample variance, standard deviation, and other statistical measures for strided arrays.

Getting Started

To access the latest release of our code, visit the Releases section.

Methodology

Our approach involves utilizing a two-pass algorithm to calculate the variance of the provided strided array. By ignoring NaN values, we ensure that our calculations remain accurate and reliable. The implementation is optimized for performance while maintaining precision.

Repository Topics

  • array
  • deviation
  • dispersion
  • javascript
  • math
  • mathematics
  • node
  • node-js
  • nodejs
  • sample-variance
  • standard-deviation
  • statistics
  • stats
  • stdlib
  • strided
  • strided-array
  • typed
  • unbiased
  • var
  • variance

Usage

To use our variance calculation method, simply integrate the provided code into your JavaScript projects. The implementation is designed to be straightforward and easy to incorporate into existing codebases.

Contribution

If you find any issues or have suggestions for improvements, feel free to submit pull requests or open issues. We welcome contributions from the community to enhance the functionality and efficiency of our variance calculation algorithm.

Conclusion

In conclusion, the "stats-strided-dnanvariancepn" repository offers a robust solution for calculating the variance of double-precision floating-point strided arrays in JavaScript. By following a two-pass algorithm and ignoring NaN values, we ensure accurate and reliable results for statistical calculations.

Visit the Releases section to access the latest release. Get started with calculating variances in your JavaScript projects today!

Download Code

📊🔢🚀

This README.md provides a comprehensive overview of the "stats-strided-dnanvariancepn" repository, focusing on the calculation of variance for double-precision floating-point strided arrays in JavaScript. Feel free to explore the code, contribute to the project, and enhance your statistical calculations in JavaScript!

Owner

  • Login: vpkmusic1
  • Kind: user

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

GitHub Events

Total
  • Release event: 1
  • Push event: 1,197
  • Create event: 3
Last Year
  • Release event: 1
  • Push event: 1,197
  • Create event: 3

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Last synced: 11 months ago

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Past Year
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Dependencies

package.json npm
  • @stdlib/array-filled-by ^0.2.1 development
  • @stdlib/array-float64 ^0.2.2 development
  • @stdlib/assert-is-browser ^0.2.2 development
  • @stdlib/bench-harness ^0.2.2 development
  • @stdlib/math-base-assert-is-nan ^0.2.2 development
  • @stdlib/math-base-special-pow ^0.3.0 development
  • @stdlib/random-base-bernoulli ^0.2.1 development
  • @stdlib/random-base-uniform ^0.2.1 development
  • istanbul ^0.4.1 development
  • proxyquire ^2.0.0 development
  • tap-min git+https://github.com/Planeshifter/tap-min.git development
  • tape git+https://github.com/kgryte/tape.git#fix/globby development
  • @stdlib/assert-is-error ^0.2.2
  • @stdlib/blas-base-shared ^0.1.0
  • @stdlib/blas-ext-base-dnannsumpw ^0.2.2
  • @stdlib/napi-argv ^0.2.2
  • @stdlib/napi-argv-double ^0.2.1
  • @stdlib/napi-argv-int64 ^0.2.2
  • @stdlib/napi-argv-strided-float64array ^0.2.2
  • @stdlib/napi-create-double ^0.0.2
  • @stdlib/napi-export ^0.2.2
  • @stdlib/strided-base-stride2offset ^0.1.0
  • @stdlib/utils-define-nonenumerable-read-only-property ^0.2.2
  • @stdlib/utils-library-manifest ^0.2.2
  • @stdlib/utils-try-require ^0.2.2