# psycho v0.5.0

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## Efficient and Publishing-Oriented Workflow for Psychological Science

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 and tools to format the output of statistical methods to directly paste them into a manuscript, ensuring statistical reporting standardization and conformity.

# psycho

Name psycho
Stable
Documentation
Blog
Examples
Questions
Authors
Reference

: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:

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

• To get the latest development version, run the following:
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 ;)

## Functions in psycho

 Name Description find_season Find season of dates. is.standardized Check if a dataframe is standardized. is.psychobject Creates or tests for objects of mode "psychobject". values Extract values as list. percentile Transform z score to percentile. percentile_to_z Transform a percentile to a z score. plot.psychobject Plot the results. summary.psychobject Print the results. remove_empty_cols Remove empty columns. mellenbergh.test Mellenbergh & van den Brink (1998) test for pre-post comparison. golden Golden Ratio. assess Compare a patient's score to a control group print.psychobject Print the results. power_analysis Power analysis for fitted models. find_matching_string Fuzzy string matching. find_combinations.formula Generate all combinations of predictors of a formula. affective Data from the Affective Style Questionnaire (ASQ - French Validation) crawford.test.freq Crawford-Howell (1998) frequentist t-test for single-case analysis. crawford.test Crawford-Garthwaite (2007) Bayesian test for single-case analysis. crawford_dissociation.test Crawford-Howell (1998) modified t-test for testing difference between a patients performance on two tasks. find_combinations Generate all combinations. emotion Emotional Ratings of Pictures dprime Dprime (d') and Other Signal Detection Theory indices. No Results!