stats-strided-sdsmean
Calculate the arithmetic mean of a single-precision floating-point strided array using extended accumulation.
Science Score: 44.0%
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✓CITATION.cff file
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Low similarity (10.0%) to scientific vocabulary
Keywords
Repository
Calculate the arithmetic mean of a single-precision floating-point strided array using extended accumulation.
Basic Info
- Host: GitHub
- Owner: Xionlightt
- License: apache-2.0
- Language: JavaScript
- Default Branch: main
- Size: 63.5 KB
Statistics
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
- Releases: 1
Topics
Metadata Files
README.md
Calculate Strided Array Arithmetic Mean
Welcome to the stats-strided-sdsmean repository! Here, you can find a tool to calculate the arithmetic mean of a single-precision floating-point strided array using extended accumulation. This tool is useful for those working with arrays in JavaScript, particularly in statistical calculations.
Repository Details:
- Name: stats-strided-sdsmean
- Description: Calculate the arithmetic mean of a single-precision floating-point strided array using extended accumulation.
- Topics: arithmetic-mean, array, average, avg, central-tendency, float, float32, javascript, math, mathematics, mean, node, node-js, nodejs, statistics, stats, stdlib, strided, strided-array, typed
To access the latest release of the tool, visit Releases.
Features:
- Efficient Calculation: The tool utilizes extended accumulation to efficiently calculate the arithmetic mean of strided arrays.
- Node.js Compatible: The tool is compatible with Node.js, making it easy to integrate into your JavaScript projects.
- Statistical Analysis: Ideal for statistical calculations and determining central tendency in datasets.
Usage:
- Download the latest release from the provided link.
- Integrate the tool into your Node.js project.
- Provide the single-precision floating-point strided array as input.
- Receive the calculated arithmetic mean as output.
Example:
```javascript const sdsmean = require('stats-strided-sdsmean');
const array = new Float32Array([1.5, 2.5, 3.5, 4.5]); const mean = sdsmean(array);
console.log(Arithmetic Mean: ${mean});
```
Why Choose Strided Array Arithmetic Mean?
Calculating the arithmetic mean of a strided array is essential in various statistical analyses, providing insights into the central tendency of the dataset. By using extended accumulation techniques, this tool ensures accurate and efficient calculations for your JavaScript projects.
Get Started
Explore the capabilities of the stats-strided-sdsmean tool and streamline your statistical calculations with ease. Visit the link provided to access the latest release and leverage the power of arithmetic mean calculations in your Node.js projects.
Let's simplify arithmetic mean calculations with strided arrays! 📊🔢
Enjoy exploring the world of statistics and mathematics with stats-strided-sdsmean! 👨🔬📈
Remember, precision and efficiency are key in statistical analyses. Calculate with confidence using stats-strided-sdsmean! ✨🚀
By incorporating extended accumulation techniques, the stats-strided-sdsmean tool offers a reliable solution for calculating the arithmetic mean of single-precision floating-point strided arrays. Take your statistical analyses to the next level and enhance your JavaScript projects with this efficient tool. Visit the Releases section to access the latest version and start exploring the world of statistics today! 🌟📊
Owner
- Login: Xionlightt
- Kind: user
- Repositories: 1
- Profile: https://github.com/Xionlightt
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
Issues and Pull Requests
Last synced: 11 months ago
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