stats-strided-snanmin

Calculate the minimum value of a single-precision floating-point strided array, ignoring NaN values.

https://github.com/ruizin157/stats-strided-snanmin

Science Score: 44.0%

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  • CITATION.cff file
    Found CITATION.cff file
  • codemeta.json file
    Found codemeta.json file
  • .zenodo.json file
    Found .zenodo.json file
  • DOI references
  • Academic publication links
  • Academic email domains
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  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (11.7%) to scientific vocabulary

Keywords

abs array domain extremes float32 mathematics min range statistics stats stdlib strided strided-array typed
Last synced: 6 months ago · JSON representation ·

Repository

Calculate the minimum value of a single-precision floating-point strided array, ignoring NaN values.

Basic Info
  • Host: GitHub
  • Owner: Ruizin157
  • License: apache-2.0
  • Language: JavaScript
  • Default Branch: main
  • Size: 61.5 KB
Statistics
  • Stars: 0
  • Watchers: 1
  • Forks: 0
  • Open Issues: 0
  • Releases: 1
Topics
abs array domain extremes float32 mathematics min range statistics stats stdlib strided strided-array typed
Created 11 months ago · Last pushed 6 months ago
Metadata Files
Readme Changelog Contributing License Code of conduct Citation Security

README.md

Calculate the Minimum Value of a Single-Precision Floating-Point Strided Array

Overview

Welcome to the "stats-strided-snanmin" repository! Here, you can find a simple and efficient method to calculate the minimum value of a single-precision floating-point strided array while ignoring any NaN (Not a Number) values present. Whether you are working on array manipulation, statistics, or mathematical computations, this function will come in handy for your projects.

Functionality

The snanmin function provided in this repository allows you to find the minimum value from a given single-precision floating-point array, with the added benefit of automatically skipping over any NaN values encountered. This ensures that your statistical calculations are accurate and reliable, without being affected by missing or invalid data points.

Usage

To utilize the snanmin function, simply include it in your JavaScript code where needed. This function is designed to work seamlessly within Node.js environments, making it convenient for a wide range of applications. By incorporating this functionality, you can streamline your array processing tasks and focus on deriving meaningful insights from your data.

Repository Details

  • Repository Name: stats-strided-snanmin
  • Description: Calculate the minimum value of a single-precision floating-point strided array, ignoring NaN values.
  • Topics: array, domain, extent, extremes, float32, javascript, math, mathematics, min, minimum, node, node-js, nodejs, range, statistics, stats, stdlib, strided, strided-array, typed
  • Latest Release: Download Release

Incorporating the Function

To benefit from the snanmin function, download the latest release from the provided link and integrate it into your JavaScript projects. This efficient solution will assist you in effortlessly determining the minimum value of your single-precision floating-point arrays while handling NaN values adeptly.

Get Started

Explore the functionalities of the snanmin function by visiting the latest release. Embrace the simplicity and reliability of this tool to enhance your statistical and mathematical computations with ease.


Thank you for visiting "stats-strided-snanmin" repository! We aim to simplify array calculations and provide practical solutions for your mathematical needs.

Mathematics Image

Enjoy coding with confidence and precision using our efficient snanmin function! 🚀


For more exciting updates and contributions, stay tuned to this repository. Your feedback and suggestions are always welcome as we strive to enhance your development experience. Happy coding! 👨‍💻📊


Owner

  • Login: Ruizin157
  • Kind: user

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

Dependencies

package.json npm
  • @stdlib/array-filled-by ^0.2.1 development
  • @stdlib/array-float32 ^0.2.2 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-assert-is-negative-zero ^0.2.2 development
  • @stdlib/math-base-special-pow ^0.3.0 development
  • @stdlib/random-array-discrete-uniform ^0.2.1 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/math-base-assert-is-nanf ^0.2.2
  • @stdlib/math-base-assert-is-negative-zerof ^0.1.3
  • @stdlib/napi-argv ^0.2.2
  • @stdlib/napi-argv-int64 ^0.2.2
  • @stdlib/napi-argv-strided-float32array ^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