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.
Science Score: 44.0%
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✓CITATION.cff file
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✓codemeta.json file
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○Scientific vocabulary similarity
Low similarity (13.0%) to scientific vocabulary
Keywords
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
Metadata Files
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:
- Clone the repository to your local machine.
- Install Node.js if you haven't already.
- Include the necessary module in your project.
- Pass your data array to the function provided for standard deviation calculation.
- 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:
- Fork the repository
- Make your changes
- 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.
Owner
- Login: Teye-24
- Kind: user
- Repositories: 1
- Profile: https://github.com/Teye-24
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: 1,180
- Create event: 3
Last Year
- Release event: 1
- Push event: 1,180
- Create event: 3