measurementprecision

Measurement Precision toolkit for R

https://github.com/dcousin3/measurementprecision

Science Score: 26.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • CITATION.cff file
  • codemeta.json file
    Found codemeta.json file
  • .zenodo.json file
  • DOI references
    Found 1 DOI reference(s) in README
  • Academic publication links
  • Academic email domains
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (4.9%) to scientific vocabulary

Keywords

measurement-precision statistics
Last synced: 10 months ago · JSON representation

Repository

Measurement Precision toolkit for R

Basic Info
  • Host: GitHub
  • Owner: dcousin3
  • License: gpl-3.0
  • Language: R
  • Default Branch: master
  • Size: 746 KB
Statistics
  • Stars: 3
  • Watchers: 1
  • Forks: 0
  • Open Issues: 0
  • Releases: 2
Topics
measurement-precision statistics
Created over 7 years ago · Last pushed about 6 years ago
Metadata Files
Readme License Citation

README.md

MeasurementPrecision

Measurement Precision toolkit for R

This repository contains source code and a package suitable for R 3.0 and above. It computes a few basic statistics and round them according to the measurement instrument precision (delta_x).

See : Cousineau, D. (2020) How many decimals? Rounding descriptive and inferential statistics based on measurement precision, Journal of Mathematical Psychology. doi: 10.1016/j.jmp.2020.102362 for the formal mathematical derivations of the results and an explanation of the four scenarios considered.

You can install this library on you computer if the library devtools is installed with:

devtools::install_github("dcousin3/MeasurementPrecision")
library(MeasurementPrecision)

Check the UserManual.pdf document for more on the functions.

Owner

  • Name: Denis Cousineau
  • Login: dcousin3
  • Kind: user
  • Company: Université d'Ottawa

I am a cognitive psychologist afflicted by the Frankenstein syndrome, that is, to recreate intelligent minds from inert materials.

GitHub Events

Total
Last Year

Issues and Pull Requests

Last synced: over 1 year ago

All Time
  • Total issues: 0
  • Total pull requests: 0
  • Average time to close issues: N/A
  • Average time to close pull requests: N/A
  • Total issue authors: 0
  • Total pull request authors: 0
  • Average comments per issue: 0
  • Average comments per pull request: 0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 0
  • Pull requests: 0
  • Average time to close issues: N/A
  • Average time to close pull requests: N/A
  • Issue authors: 0
  • Pull request authors: 0
  • Average comments per issue: 0
  • Average comments per pull request: 0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 0
Top Authors
Issue Authors
Pull Request Authors
Top Labels
Issue Labels
Pull Request Labels