stats-strided-smeanwd

Calculate the arithmetic mean of a single-precision floating-point strided array using Welford's algorithm.

https://github.com/kuiz-error/stats-strided-smeanwd

Science Score: 44.0%

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  • CITATION.cff file
    Found CITATION.cff file
  • codemeta.json file
    Found codemeta.json file
  • .zenodo.json file
    Found .zenodo.json file
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  • Scientific vocabulary similarity
    Low similarity (12.4%) to scientific vocabulary

Keywords

arithmetic-mean array average avg javascript mathematics nodejs statistics stats stdlib strided strided-array typed welford
Last synced: 6 months ago · JSON representation ·

Repository

Calculate the arithmetic mean of a single-precision floating-point strided array using Welford's algorithm.

Basic Info
  • Host: GitHub
  • Owner: Kuiz-Error
  • License: apache-2.0
  • Language: JavaScript
  • Default Branch: main
  • Size: 67.4 KB
Statistics
  • Stars: 0
  • Watchers: 1
  • Forks: 0
  • Open Issues: 0
  • Releases: 1
Topics
arithmetic-mean array average avg javascript mathematics nodejs statistics stats stdlib strided strided-array typed welford
Created 11 months ago · Last pushed 6 months ago
Metadata Files
Readme Changelog Contributing License Code of conduct Citation Security

README.md

📊 stats-strided-smeanwd

Welcome to the stats-strided-smeanwd repository! Here you can find a simple and efficient JavaScript implementation of calculating the arithmetic mean of a single-precision floating-point strided array using Welford's algorithm.

Description

Calculating the arithmetic mean of a strided array involves determining the average value of the elements in the array by taking into account the striding between elements. Welford's algorithm is a widely-used method for computing the mean of a dataset while minimizing numerical errors.

How to Use

To calculate the arithmetic mean of your single-precision floating-point strided array, simply download and execute the script provided in this repository. Make sure to pass the array as input to get the accurate mean value.

Features

  • Efficient implementation using Welford's algorithm
  • Support for single-precision floating-point strided arrays
  • Easy-to-use JavaScript code
  • Reliable calculation of the arithmetic mean

Get Started

To start using the arithmetic mean calculator, visit the Releases section and download the script. Execute it with your strided array data to obtain the mean value.

Topics

Keywords: arithmetic-mean, array, average, avg, central-tendency, float32, javascript, math, mathematics, mean, node, node-js, nodejs, statistics, stats, stdlib, strided, strided-array, typed, welford.

Example

javascript const stridedArray = [1.2, 2.5, 3.8, 5.1, 6.4]; const mean = computeMean(stridedArray); console.log(`The arithmetic mean of the array is: ${mean}`);

Support

If you encounter any issues or have questions about the arithmetic mean calculation, feel free to open an issue on this repository. We are here to assist you and ensure a smooth experience with our tool.

Contributions

We welcome contributions to enhance the functionality and performance of our arithmetic mean calculator. If you have ideas for improvement or bug fixes, please submit a pull request. Your input is valuable to us.

License

This project is licensed under the MIT License - see the LICENSE file for details.


Download and Execute

🚀 Happy calculating the arithmetic mean using Welford's algorithm! 🚀

Owner

  • Login: Kuiz-Error
  • 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

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  • Release event: 1
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  • Release event: 1
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Last synced: 11 months ago

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Dependencies

package.json npm
  • @stdlib/array-float32 ^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-array-discrete-uniform ^0.2.1 development
  • @stdlib/random-array-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/napi-argv ^0.2.2
  • @stdlib/napi-argv-int64 ^0.2.2
  • @stdlib/napi-argv-strided-float32array ^0.2.2
  • @stdlib/napi-create-double ^0.0.2
  • @stdlib/napi-export ^0.2.2
  • @stdlib/number-float64-base-to-float32 ^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