The psycho Package

The psycho Package: an Efficient and Publishing-Oriented Workflow for Psychological Science - Published in JOSS (2018)

https://github.com/neuropsychology/psycho.r

Science Score: 93.0%

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
    Found .zenodo.json file
  • DOI references
    Found 6 DOI reference(s) in README and JOSS metadata
  • Academic publication links
    Links to: joss.theoj.org
  • Committers with academic emails
  • Institutional organization owner
  • JOSS paper metadata
    Published in Journal of Open Source Software

Keywords

apa apa6 bayesian correlation format interpretation mixed-models neuroscience psycho psychology r rstanarm statistics

Keywords from Contributors

standardization

Scientific Fields

Earth and Environmental Sciences Physical Sciences - 40% confidence
Last synced: 4 months ago · JSON representation

Repository

An R package for experimental psychologists

Basic Info
Statistics
  • Stars: 150
  • Watchers: 8
  • Forks: 31
  • Open Issues: 14
  • Releases: 12
Topics
apa apa6 bayesian correlation format interpretation mixed-models neuroscience psycho psychology r rstanarm statistics
Created over 8 years ago · Last pushed almost 2 years ago
Metadata Files
Readme Changelog Contributing License

README.md

psycho logo r package

Efficient and Publishing-Oriented Workflow for Psychological Science

psycho

Build Status License: MIT CRAN downloads total Build status codecov Dependency Status CRAN downloads month

|Name|psycho| |----------------|---| |Stable|CRAN| |Documentation|Rdoc| |Blog|| |Examples|| |Questions|| |Authors|| |Reference|DOI|


:warning: NOTE: This package is being deprecated in favour of the report package. Please check it out and ask for any missing features.


Goal

The main goal of the psycho package is to provide tools for psychologists, neuropsychologists and neuroscientists, to facilitate and speed up the time spent on data analysis. It aims at supporting best practices by providing tools to format the output of statistical methods to directly paste them into a manuscript, ensuring standardization of statistical reporting.

Contribute

psycho is a young package in need of affection. You can easily hop aboard the development of this open-source software and improve psychological science:

  • Need some help? Found a bug? Request a new feature? Just open an issue :relaxed:
  • Want to add a feature? Correct a bug? You're more than welcome to contribute!

Don't be shy, try to code and submit a pull request (PR). Even if unperfect, we will help you to make a great PR! All contributors will be very graciously rewarded. Someday.

Examples

Check examples in the following vignettes: - Overview of the psycho package - Bayesian Analysis in Psychology

Or blog posts:

General Workflow

The package revolves around the psychobject. Main functions from the package return this type, and the analyze() function transforms other R objects into psychobjects. Four functions can then be applied on a psychobject: summary(), print(), plot() and values().

Installation

  • To get the stable version from CRAN, run the following commands in your R console:

R install.packages("psycho") library("psycho")

  • To get the latest development version, run the following: R install.packages("devtools") library("devtools") install_github("neuropsychology/psycho.R") library("psycho")

Credits

You can cite the package as following: - Makowski, (2018). The psycho Package: an Efficient and Publishing-Oriented Workflow for Psychological Science. Journal of Open Source Software, 3(22), 470. https://doi.org/10.21105/joss.00470

Contributors

Owner

  • Name: École de Neuropsychologie
  • Login: neuropsychology
  • Kind: organization
  • Email: dom.makowski@gmail.com
  • Location: Paris, France

An open community of people interested in improving Neuropsychology. Contact us if you're interested to join!

JOSS Publication

The psycho Package: an Efficient and Publishing-Oriented Workflow for Psychological Science
Published
February 05, 2018
Volume 3, Issue 22, Page 470
Authors
Dominique Makowski ORCID
Memory and Cognition Lab', Institute of Psychology, University of Sorbonne Paris Cité, France, INSERM U894, Center for Psychiatry and Neuroscience, Paris, France
Editor
Thomas J. Leeper ORCID
Tags
Psychology Interpratation Formatting Correlation Assessement

GitHub Events

Total
  • Watch event: 4
  • Pull request event: 1
Last Year
  • Watch event: 4
  • Pull request event: 1

Committers

Last synced: 5 months ago

All Time
  • Total Commits: 356
  • Total Committers: 6
  • Avg Commits per committer: 59.333
  • Development Distribution Score (DDS): 0.079
Past Year
  • Commits: 0
  • Committers: 0
  • Avg Commits per committer: 0.0
  • Development Distribution Score (DDS): 0.0
Top Committers
Name Email Commits
DominiqueMakowski d****9@g****m 328
Viliam Simko v****o@g****m 19
NAJBERG Hugo h****g@u****h 5
Tobias Benz t****z@u****e 2
bigpas p****e@g****m 1
Anna Kautto a****o@g****m 1
Committer Domains (Top 20 + Academic)

Issues and Pull Requests

Last synced: 4 months ago

All Time
  • Total issues: 54
  • Total pull requests: 47
  • Average time to close issues: 7 months
  • Average time to close pull requests: 14 days
  • Total issue authors: 33
  • Total pull request authors: 6
  • Average comments per issue: 2.3
  • Average comments per pull request: 0.94
  • Merged pull requests: 44
  • 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
  • DominiqueMakowski (18)
  • HugoNjb (4)
  • sbalci (2)
  • strengejacke (1)
  • mi302 (1)
  • jgabry (1)
  • vsoch (1)
  • MarkJThomas (1)
  • clarmar301 (1)
  • duncanwil (1)
  • dphipps190 (1)
  • ricardoV94 (1)
  • zrahmani (1)
  • DowntownCat (1)
  • LizHareDogs (1)
Pull Request Authors
  • DominiqueMakowski (36)
  • HugoNjb (5)
  • bigpas (2)
  • gungorMetehan (2)
  • TobiasBenz (2)
  • annakau (1)
Top Labels
Issue Labels
enhancement (7) bug (3) help wanted (2)
Pull Request Labels

Packages

  • Total packages: 1
  • Total downloads:
    • cran 1,215 last-month
  • Total dependent packages: 5
  • Total dependent repositories: 2
  • Total versions: 17
  • Total maintainers: 1
cran.r-project.org: psycho

Efficient and Publishing-Oriented Workflow for Psychological Science

  • Versions: 17
  • Dependent Packages: 5
  • Dependent Repositories: 2
  • Downloads: 1,215 Last month
Rankings
Forks count: 2.4%
Stargazers count: 2.9%
Dependent packages count: 8.2%
Average: 8.5%
Downloads: 9.7%
Dependent repos count: 19.3%
Maintainers (1)
Last synced: 4 months ago

Dependencies

DESCRIPTION cran
  • R >= 3.5.0 depends
  • bayestestR * imports
  • dplyr * imports
  • effectsize * imports
  • ggplot2 * imports
  • insight * imports
  • parameters * imports
  • scales * imports
  • stats * imports
  • stringr * imports
  • utils * imports
  • GPArotation * suggests
  • covr * suggests
  • knitr * suggests
  • rmarkdown * suggests
  • testthat * suggests