Name | psycho |
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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: - Overview of the psycho package - Bayesian Analysis in Psychology
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: - 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