stats-strided-dnanstdevch

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

https://github.com/teye-24/stats-strided-dnanstdevch

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
  • DOI references
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  • Scientific vocabulary similarity
    Low similarity (13.0%) to scientific vocabulary

Keywords

array deviation dispersion javascript mathematics sample-standard-deviation standard-deviation statistics stdlib 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 trial mean algorithm.

Basic Info
  • Host: GitHub
  • Owner: Teye-24
  • 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 deviation dispersion javascript mathematics sample-standard-deviation standard-deviation statistics stdlib 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

Efficient Strided Array Standard Deviation Calculation

Welcome to the stats-strided-dnanstdevch repository! This tool allows you to calculate the standard deviation of a double-precision floating-point strided array while ignoring NaN values. It employs a one-pass trial mean algorithm, ensuring accurate and efficient computation of the standard deviation.

Repository Overview

  • Repository Name: stats-strided-dnanstdevch
  • Description: Calculate the standard deviation of a strided array efficiently, handling NaN values, and utilizing a one-pass trial mean algorithm.
  • 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

For more details and to access the tool, visit the Releases.

Standard Deviation Calculation Made Simple

Calculating the standard deviation of an array is a common task in statistical analysis and data processing. This tool simplifies the process by providing a straightforward solution that handles strided arrays and NaN values efficiently.

Key Features:

  • Efficient Algorithm: Utilizes a one-pass trial mean algorithm for quick computation.
  • NaN Handling: Ignores NaN values in the array during calculation.
  • Strided Array Support: Capable of processing strided arrays, making it versatile for different data structures.
  • Node.js Compatible: Works seamlessly with Node.js environment for easy integration into your projects.

Getting Started

To start using the standard deviation calculation tool, follow these simple steps:

  1. Clone the repository to your local machine.
  2. Install Node.js if you haven't already.
  3. Include the necessary module in your project.
  4. Pass your data array to the function provided for standard deviation calculation.
  5. Enjoy accurate standard deviation results with ease!

Example Usage

Here's a snippet demonstrating how to use the standard deviation calculation function:

```javascript const { calculateStandardDeviation } = require('stats-strided-dnanstdevch');

const data = [1.2, 2.5, NaN, 4.3, 3.1]; const stdDev = calculateStandardDeviation(data);

console.log(Standard Deviation: ${stdDev}); ```

Support and Contributions

If you encounter any issues or have suggestions for improvement, feel free to open an issue or contribute to the repository. Your feedback is valuable in enhancing the tool for the community.

How to Contribute:

  1. Fork the repository
  2. Make your changes
  3. Submit a pull request

Community Feedback

Here's what users are saying about the stats-strided-dnanstdevch tool:

  • "Saves me time when calculating standard deviation with NaN values!"
  • "Efficient and easy to use. Great tool for statistical computations."

Conclusion

Thanks for exploring the stats-strided-dnanstdevch repository! With its efficient algorithm and NaN handling capabilities, calculating the standard deviation of a strided array has never been easier. Incorporate this tool into your projects for accurate statistical analysis.

📊 Happy Computing! 📈


For the latest updates and downloads, visit Releases.

Standard Deviation Calculation

Owner

  • Login: Teye-24
  • 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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