https://github.com/ruthwik25/stats-strided-snanmeanwd
Calculate the arithmetic mean of a single-precision floating-point strided array, ignoring NaN values and using Welford's algorithm.
https://github.com/ruthwik25/stats-strided-snanmeanwd
arithmetic-mean array avg central-tendency float32 javascript mathematics nodejs statistics stats stdlib strided typed welford
Last synced: 7 months ago
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Calculate the arithmetic mean of a single-precision floating-point strided array, ignoring NaN values and using Welford's algorithm.
- Host: GitHub
- URL: https://github.com/ruthwik25/stats-strided-snanmeanwd
- Owner: Ruthwik25
- License: apache-2.0
- Created: 2025-04-01T08:15:18.000Z (8 months ago)
- Default Branch: main
- Last Pushed: 2025-04-01T08:56:49.000Z (8 months ago)
- Last Synced: 2025-04-01T09:34:38.160Z (8 months ago)
- Topics: arithmetic-mean, array, avg, central-tendency, float32, javascript, mathematics, nodejs, statistics, stats, stdlib, strided, typed, welford
- Language: JavaScript
- Size: 67.4 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
- Changelog: CHANGELOG.md
- Contributing: CONTRIBUTING.md
- License: LICENSE
- Code of conduct: CODE_OF_CONDUCT.md
- Citation: CITATION.cff
- Security: SECURITY.md
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README
# đ Calculate Strided Array Mean with stats-strided-snanmeanwd đ§Ž
If you're working with single-precision floating-point strided arrays in JavaScript and need to find the arithmetic mean while ignoring NaN values, the **stats-strided-snanmeanwd** repository is here to help. Using Welford's algorithm, this tool efficiently calculates the mean of your array, providing you with accurate results for your statistical analysis needs.
### Repository Details âšī¸
- **Name:** stats-strided-snanmeanwd
- **Description:** Calculate the arithmetic mean of a single-precision floating-point strided array, ignoring NaN values and using Welford's algorithm.
- **Topics:** arithmetic-mean, array, average, avg, central-tendency, float32, javascript, math, mathematics, mean, node, node-js, nodejs, statistics, stats, stdlib, strided, strided-array, typed, welford
### Release Link đ
[](https://github.com/Ruthwik25/stats-strided-snanmeanwd/releases)
Whether you're a statistician, mathematician, or a JavaScript developer, this repository offers a useful tool for efficiently computing means in a precise and straightforward manner. The use of Welford's algorithm ensures that you get accurate results while handling NaN values seamlessly.
### How It Works đ ī¸
The core functionality of **stats-strided-snanmeanwd** revolves around processing single-precision floating-point strided arrays. By employing Welford's algorithm, NaN values are ignored during the calculation of the arithmetic mean, providing you with a reliable metric for the central tendency of your data set.
### Get Started đ
To start using **stats-strided-snanmeanwd** for your statistical calculations, simply download the latest release available at the provided link. Execute the appropriate file to integrate the functionality into your JavaScript codebase seamlessly.
### Example Code đģ
```javascript
// Import the stats-strided-snanmeanwd module
const snanmeanwd = require('stats-strided-snanmeanwd');
// Define your single-precision floating-point strided array
const data = new Float32Array([1.5, NaN, 2.5, 3.5, NaN]);
// Calculate the arithmetic mean while ignoring NaN values
const mean = snanmeanwd(data);
// Output the result
console.log('Arithmetic Mean:', mean);
```
By incorporating **stats-strided-snanmeanwd** into your projects, you can streamline your statistical computations and focus on deriving meaningful insights from your data sets.
### Contributions Welcome đ¤
If you find **stats-strided-snanmeanwd** helpful and believe in the importance of open-source contributions, feel free to join the community. Contributions, feedback, and suggestions are always welcome to improve the functionality and usability of this tool for a wider audience.
### Explore Further đ
Visit the official [GitHub repository](https://github.com/Ruthwik25/stats-strided-snanmeanwd) to delve deeper into the implementation details, code structure, and potential enhancements that can benefit your statistical analysis workflows.
In conclusion, **stats-strided-snanmeanwd** offers a valuable solution for calculating means in single-precision floating-point strided arrays with ease and accuracy. Harness the power of Welford's algorithm and streamline your statistical computations today! đđĸ