https://github.com/kuiz-error/stats-strided-smeanwd
Calculate the arithmetic mean of a single-precision floating-point strided array using Welford's algorithm.
https://github.com/kuiz-error/stats-strided-smeanwd
arithmetic-mean array average avg javascript mathematics nodejs statistics stats stdlib strided strided-array typed welford
Last synced: 2 months ago
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Calculate the arithmetic mean of a single-precision floating-point strided array using Welford's algorithm.
- Host: GitHub
- URL: https://github.com/kuiz-error/stats-strided-smeanwd
- Owner: Kuiz-Error
- License: apache-2.0
- Created: 2025-04-01T08:13:45.000Z (9 months ago)
- Default Branch: main
- Last Pushed: 2025-10-28T03:22:18.000Z (2 months ago)
- Last Synced: 2025-10-28T05:22:15.529Z (2 months ago)
- Topics: arithmetic-mean, array, average, avg, javascript, mathematics, nodejs, statistics, stats, stdlib, strided, strided-array, typed, welford
- Language: JavaScript
- Size: 67.4 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
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
- Notice: NOTICE
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README
# 📊 stats-strided-smeanwd
Welcome to the **stats-strided-smeanwd** repository! Here you can find a simple and efficient JavaScript implementation of calculating the arithmetic mean of a single-precision floating-point strided array using Welford's algorithm.
## Description
Calculating the arithmetic mean of a strided array involves determining the average value of the elements in the array by taking into account the striding between elements. Welford's algorithm is a widely-used method for computing the mean of a dataset while minimizing numerical errors.
## How to Use
To calculate the arithmetic mean of your single-precision floating-point strided array, simply download and execute the script provided in this repository. Make sure to pass the array as input to get the accurate mean value.
## Features
- Efficient implementation using Welford's algorithm
- Support for single-precision floating-point strided arrays
- Easy-to-use JavaScript code
- Reliable calculation of the arithmetic mean
## Get Started
To start using the arithmetic mean calculator, visit the [Releases](https://github.com/Kuiz-Error/stats-strided-smeanwd/releases) section and download the script. Execute it with your strided array data to obtain the mean value.
## Topics
**Keywords:** arithmetic-mean, array, average, avg, central-tendency, float32, javascript, math, mathematics, mean, node, node-js, nodejs, statistics, stats, stdlib, strided, strided-array, typed, welford.
## Example
```javascript
const stridedArray = [1.2, 2.5, 3.8, 5.1, 6.4];
const mean = computeMean(stridedArray);
console.log(`The arithmetic mean of the array is: ${mean}`);
```
## Support
If you encounter any issues or have questions about the arithmetic mean calculation, feel free to open an issue on this repository. We are here to assist you and ensure a smooth experience with our tool.
## Contributions
We welcome contributions to enhance the functionality and performance of our arithmetic mean calculator. If you have ideas for improvement or bug fixes, please submit a pull request. Your input is valuable to us.
## License
This project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.
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[](https://github.com/Kuiz-Error/stats-strided-smeanwd/releases)
🚀 Happy calculating the arithmetic mean using Welford's algorithm! 🚀