🌟 Stats Base Ndarray Max 🌟

Welcome to the Stats Base Ndarray Max repository! This project provides a simple way to compute the maximum value of a one-dimensional ndarray in JavaScript. Whether you're working on data analysis, statistics, or just need to find the highest number in an array, this tool is designed to help you efficiently achieve that.

Table of Contents

• Introduction
• Installation
• Usage
• API
• Examples
• Contributing
• License
• Support

Introduction

In data science and mathematics, finding the maximum value in a dataset is a common task. The Stats Base Ndarray Max library simplifies this process for one-dimensional ndarrays. It is built on top of the powerful ndarray structure, ensuring performance and ease of use.

For more information, check out our Releases.

Installation

To get started, you need to install the package. You can do this using npm:

bash npm install stats-base-ndarray-max

After installation, you can import the function into your project.

Usage

To use the maximum function, simply import it and pass your ndarray as an argument. Here’s how:

```javascript const max = require('stats-base-ndarray-max'); const ndarray = require('ndarray');

const data = ndarray([1, 3, 5, 7, 9]); const maxValue = max(data);

console.log(maxValue); // Output: 9 ```

API

max(ndarray)

• Parameters:

  • ndarray: A one-dimensional ndarray containing numerical values.

• Returns: The maximum value found in the ndarray.

Example

Here’s a more detailed example showing how to use the function:

```javascript const max = require('stats-base-ndarray-max'); const ndarray = require('ndarray');

const data = ndarray([2, 4, 6, 8, 10, 12]); const maxValue = max(data);

console.log(The maximum value is: ${maxValue}); // Output: The maximum value is: 12 ```

Examples

Example 1: Finding Maximum in a Simple Array

```javascript const max = require('stats-base-ndarray-max'); const ndarray = require('ndarray');

const data = ndarray([10, 20, 30, 40, 50]); console.log(max(data)); // Output: 50 ```

Example 2: Working with Negative Numbers

```javascript const max = require('stats-base-ndarray-max'); const ndarray = require('ndarray');

const data = ndarray([-5, -1, -15, -3]); console.log(max(data)); // Output: -1 ```

Example 3: Performance with Large Arrays

```javascript const max = require('stats-base-ndarray-max'); const ndarray = require('ndarray');

const largeData = ndarray(new Array(1000000).fill().map((_, i) => i)); console.log(max(largeData)); // Output: 999999 ```

Contributing

We welcome contributions! If you would like to help improve this library, please follow these steps:

1. Fork the repository.
2. Create a new branch (git checkout -b feature/YourFeature).
3. Make your changes.
4. Commit your changes (git commit -m 'Add some feature').
5. Push to the branch (git push origin feature/YourFeature).
6. Open a Pull Request.

Please ensure your code follows the style of the existing codebase and includes tests where applicable.

License

This project is licensed under the MIT License. See the LICENSE file for details.

Support

If you have any questions or need help, feel free to reach out through the Issues section of this repository. For more detailed discussions, consider visiting our Releases.

Thank you for checking out Stats Base Ndarray Max! We hope this library serves your needs in finding maximum values efficiently. Happy coding!