stats-strided-dnanvarianceyc
Calculate the variance of a double-precision floating-point strided array ignoring NaN values and using a one-pass algorithm proposed by Youngs and Cramer.
https://github.com/julimdacontencao/stats-strided-dnanvarianceyc
Science Score: 26.0%
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Low similarity (11.4%) to scientific vocabulary
Keywords
Repository
Calculate the variance of a double-precision floating-point strided array ignoring NaN values and using a one-pass algorithm proposed by Youngs and Cramer.
Basic Info
- Host: GitHub
- Owner: JulimDaContencao
- License: apache-2.0
- Language: JavaScript
- Default Branch: main
- Size: 71.3 KB
Statistics
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
- Releases: 1
Topics
Metadata Files
README.md
📊 Stats Strided DNAN VarianceYC
Welcome to the Stats Strided DNAN VarianceYC repository! This repository provides a simple and efficient way to calculate the variance of a double-precision floating-point strided array while ignoring NaN values. The calculation is done using a one-pass algorithm proposed by Youngs and Cramer.
📝 Description
The Stats Strided DNAN VarianceYC repository focuses on computing the variance of a strided array in a precise and optimized manner. By excluding NaN values from the calculation and leveraging the one-pass algorithm devised by Youngs and Cramer, this tool ensures accurate results without the need for multiple iterations or complex computations.
🚀 Features
- Calculates the variance of a double-precision floating-point strided array
- Ignores NaN values during the calculation process
- Utilizes a one-pass algorithm proposed by Youngs and Cramer
- Efficient and reliable method for variance computation
- Suitable for handling large datasets with ease
🎯 Purpose
The main goal of the Stats Strided DNAN VarianceYC repository is to provide a straightforward solution for calculating variance while handling NaN values seamlessly. By offering a one-pass algorithm approach, users can efficiently compute variance without sacrificing accuracy or performance.
🔧 Installation
To access the latest release of the Stats Strided DNAN VarianceYC tool, please visit the Releases section. You can download the necessary files from the provided link to get started with the variance calculation process.
📚 Topics
- Array
- Deviation
- Dispersion
- JavaScript
- Math
- Mathematics
- Node
- Node.js
- NodeJS
- Sample Variance
- Standard Deviation
- Statistics
- Stats
- Stdlib
- Strided
- Strided Array
- Typed
- Unbiased
- Variance
💡 Conclusion
In conclusion, the Stats Strided DNAN VarianceYC repository offers a practical and efficient solution for calculating the variance of a double-precision floating-point strided array while handling NaN values effectively. By utilizing a one-pass algorithm and focusing on accuracy and reliability, this tool simplifies the variance computation process and provides users with a valuable resource for statistical analysis.
Explore the functionality of the Stats Strided DNAN VarianceYC tool today and streamline your variance calculations with precision and ease! 📈🧮
Remember to visit the Releases section to access the latest version of the tool. Download the necessary files and start computing variances with confidence. 🚀
🔗 Quick Links: - Repository - Releases
Owner
- Login: JulimDaContencao
- Kind: user
- Repositories: 1
- Profile: https://github.com/JulimDaContencao
GitHub Events
Total
- Push event: 1,193
- Create event: 2
Last Year
- Push event: 1,193
- Create event: 2
Dependencies
- @stdlib/array-filled-by ^0.2.1 development
- @stdlib/array-float64 ^0.2.2 development
- @stdlib/assert-is-browser ^0.2.2 development
- @stdlib/bench-harness ^0.2.2 development
- @stdlib/math-base-assert-is-nan ^0.2.2 development
- @stdlib/math-base-special-pow ^0.3.0 development
- @stdlib/random-base-bernoulli ^0.2.1 development
- @stdlib/random-base-uniform ^0.2.1 development
- istanbul ^0.4.1 development
- proxyquire ^2.0.0 development
- tap-min git+https://github.com/Planeshifter/tap-min.git development
- tape git+https://github.com/kgryte/tape.git#fix/globby development
- @stdlib/assert-is-error ^0.2.2
- @stdlib/blas-base-shared ^0.1.0
- @stdlib/napi-argv ^0.2.2
- @stdlib/napi-argv-double ^0.2.1
- @stdlib/napi-argv-int64 ^0.2.2
- @stdlib/napi-argv-strided-float64array ^0.2.2
- @stdlib/napi-create-double ^0.0.2
- @stdlib/napi-export ^0.2.2
- @stdlib/strided-base-stride2offset ^0.1.0
- @stdlib/utils-define-nonenumerable-read-only-property ^0.2.2
- @stdlib/utils-library-manifest ^0.2.2
- @stdlib/utils-try-require ^0.2.2