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stats-strided-svariancech

Calculate the variance of a single-precision floating-point strided array using a one-pass trial mean algorithm.

https://github.com/valto33/stats-strided-svariancech

Science Score: 44.0%

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    CITATION.cff file
    Found CITATION.cff file
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    Low similarity (9.5%) to scientific vocabulary

Keywords

array deviation dispersion javascript mathematics nodejs standard-deviation stats stdlib strided strided-array typed unbiased variance
Last synced: 9 months ago · JSON representation ·

Repository

Calculate the variance of a single-precision floating-point strided array using a one-pass trial mean algorithm.

Basic Info
  • Host: GitHub
  • Owner: valto33
  • 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 mathematics nodejs standard-deviation stats stdlib strided strided-array typed unbiased variance
Created about 1 year ago · Last pushed 10 months ago
Metadata Files
Readme Changelog Contributing License Code of conduct Citation Security

README.md

Calculating Variance of a Strided Array

Welcome to the "stats-strided-svariancech" repository! Here, you can find a simple and efficient way to calculate the variance of a single-precision floating-point strided array using a one-pass trial mean algorithm.

Features

  • Efficient Algorithm: Utilizes a one-pass trial mean algorithm for calculating the variance.
  • Single-Precision Support: Works with single-precision floating-point numbers.
  • Strided Array Handling: Capable of handling strided arrays efficiently.
  • Unbiased Results: Provides unbiased variance calculations.
  • Node.js Compatible: Suitable for use in Node.js environments.

Usage

To calculate the variance of a strided array, simply download and execute the file from the Releases section. This tool allows you to quickly obtain the variance of your data without any hassle.

Topics

This repository covers various topics related to statistics, mathematics, and array operations. Some of the key topics include:

  • Array Operations
  • Deviation
  • Dispersion
  • Javascript
  • Mathematics
  • Node.js
  • Sample Variance
  • Standard Deviation
  • Statistics
  • Strided Arrays
  • Typed Arrays
  • Unbiased Estimation
  • Variance

Link

Download and Execute

Additional Information

For any additional information or updates, please refer to the Releases section of this repository.

Thank you for checking out the "stats-strided-svariancech" repository. Feel free to explore the code and enhance your understanding of variance calculations for strided arrays.

Owner

  • Login: valto33
  • 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

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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-float ^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