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Efficient and Publishing-Oriented Workflow for Psychological Science

* # psycho [![Build Status](https://travis-ci.org/neuropsychology/psycho.R.svg?branch=master)](https://travis-ci.org/neuropsychology/psycho.R) [![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT) [![CRAN downloads total](http://cranlogs.r-pkg.org/badges/grand-total/psycho)](https://CRAN.R-project.org/package=psycho) [![Build status](https://ci.appveyor.com/api/projects/status/08mg1fshh5iqx53b?svg=true)](https://ci.appveyor.com/project/DominiqueMakowski/psycho-r) [![codecov](https://codecov.io/gh/neuropsychology/psycho.R/branch/master/graph/badge.svg)](https://codecov.io/gh/neuropsychology/psycho.R) [![Dependency Status](https://dependencyci.com/github/neuropsychology/psycho.R/badge)](https://dependencyci.com/github/neuropsychology/psycho.R) [![CRAN downloads month](https://cranlogs.r-pkg.org/badges/psycho)](https://CRAN.R-project.org/package=psycho) |Name|psycho| |----------------|---| |Stable|[![CRAN](https://www.r-pkg.org/badges/version/psycho)](https://CRAN.R-project.org/package=psycho)| |Documentation|[![Rdoc](http://www.rdocumentation.org/badges/version/psycho)](http://www.rdocumentation.org/packages/psycho)| |Examples|[![](https://img.shields.io/badge/vignettes-0.0.2-orange.svg?colorB=FF5722)](https://CRAN.R-project.org/package=psycho/vignettes/overview.html)| |Questions|[![](https://img.shields.io/badge/issue-create-purple.svg?colorB=FF9800)](https://github.com/neuropsychology/psycho.R/issues)| |Authors|[![](https://img.shields.io/badge/CV-D._Makowski-purple.svg?colorB=9C27B0)](https://dominiquemakowski.github.io/)| --- ## Goal The main goal of the `psycho` package is to provide tools for psychologists, neuropsychologists and neuroscientists, to transform statistical outputs into something readable that can be, almost directly, copied and pasted into a report. It also implements various functions, from very useful ones (`correlation()`, `normalize()`) to miscellaenous ones (`find_season()`). ## Contribute Want to get involved in the developpment of an open-source software and improve psychological science? **Join us!** - You need some help? You found a bug? You would like to request a new feature? Just open an [issue](https://github.com/neuropsychology/psycho.R/issues) :relaxed: - Want to add a feature? Correct a bug? You're more than welcome to contribute! - Looking for help to implement the `analyze` method for `t.test`, `cor.test` and `anova`. ## Features The `psycho` package can already do the following: - [x] Normalize your data - [x] Enlight you on how many factors to retain for a PCA - [x] Give you some clinically relevant info on a participant's score - [x] Compute complex correlation matrices - [x] Help you in the interpretation of various models (lme4, stan_lmer) ## 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()`. ![](https://github.com/neuropsychology/psycho.R/blob/master/vignettes/images/workflow.PNG) ## 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")

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