psycho logo r package

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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 developpment of this open-source software and improve psychological science:

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

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

Please remember that psycho is a high-level package that heavily relies on many other packages, such as tidyverse, psych, qgraph, rstanarm, lme4 and others (See Description for the full list of dependencies). Please cite their authors ;)

Contributors