📊 Calculate Strided Array Mean with stats-strided-snanmeanwd 🧮

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 ℹ️

• 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 🚀

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 🛠️

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 🚀

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 💻

```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 🤝

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 🌐

Visit the official GitHub repository 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! 📈🔢