stats-strided-dnanstdevtk

Calculate the standard deviation of a double-precision floating-point strided array ignoring NaN values and using a one-pass textbook algorithm.

https://github.com/adison553/stats-strided-dnanstdevtk

Science Score: 44.0%

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

  • CITATION.cff file
    Found CITATION.cff file
  • codemeta.json file
    Found codemeta.json file
  • .zenodo.json file
    Found .zenodo.json file
  • DOI references
  • Academic publication links
  • Academic email domains
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (9.7%) to scientific vocabulary

Keywords

array dispersion javascript mathematics sample-standard-deviation statistics stats stdlib strided strided-array typed unbiased var variance
Last synced: 4 months ago · JSON representation ·

Repository

Calculate the standard deviation of a double-precision floating-point strided array ignoring NaN values and using a one-pass textbook algorithm.

Basic Info
  • Host: GitHub
  • Owner: Adison553
  • License: apache-2.0
  • Language: JavaScript
  • Default Branch: main
  • Size: 69.3 KB
Statistics
  • Stars: 0
  • Watchers: 1
  • Forks: 0
  • Open Issues: 0
  • Releases: 1
Topics
array dispersion javascript mathematics sample-standard-deviation statistics stats stdlib strided strided-array typed unbiased var variance
Created 9 months ago · Last pushed 5 months ago
Metadata Files
Readme Changelog Contributing License Code of conduct Citation Security

README.md

📊 stats-strided-dnanstdevtk

Welcome to the stats-strided-dnanstdevtk repository! Here, you can calculate the standard deviation of a double-precision floating-point strided array while ignoring NaN values. This process is achieved using a one-pass textbook algorithm.

📝 Description

The main focus of this repository is to provide a reliable method for calculating the standard deviation of a strided array that contains double-precision floating-point values. By applying the one-pass textbook algorithm, you can efficiently handle NaN values in the array without compromising the accuracy of the resulting standard deviation.

🏷️ Topics

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

🚀 Get Started

To access the latest release of this repository and explore the functionalities provided, please visit the Releases section.

📦 Download and Execution

If you wish to download and execute a specific file related to this repository, you can find the necessary resources in the provided link.

🌟 Additional Information

Feel free to explore the different aspects of working with double-precision floating-point strided arrays and calculating standard deviations with ease. The one-pass textbook algorithm implemented here ensures efficiency and accuracy in handling NaN values during the calculation process.


Stay tuned for updates and enhancements to the stats-strided-dnanstdevtk repository. Your feedback and contributions are always welcome as we strive to provide robust solutions for statistical calculations in JavaScript.

Get started now by visiting the release section and make the most out of calculating standard deviations in a strided array effortlessly! 📈🧮

Remember, simplicity and accuracy are key when dealing with statistical calculations, and this repository aims to deliver just that. Let's dive into the world of math and stats together! 🚀

📊 Happy Calculating!

Owner

  • Login: Adison553
  • 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: 1,187
  • Create event: 3
Last Year
  • Release event: 1
  • Push event: 1,187
  • Create event: 3

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/math-base-special-sqrt ^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/stats-strided-dnanvariancetk github:stdlib-js/stats-strided-dnanvariancetk#main
  • @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