Efficient and Publishing-Oriented Workflow for Psychological Science
Name | psycho |
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Stable | |
Documentation | |
Blog | |
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:warning: NOTE: This package is being deprecated in favour of the report package. Please check it out and ask for any missing features.
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.
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:
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.
Check examples in the following vignettes:
Or blog posts:
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()
.
install.packages("psycho")
library("psycho")
install.packages("devtools")
library("devtools")
install_github("neuropsychology/psycho.R")
library("psycho")
You can cite the package as following: