Abstract

Psycho is an R package that aims at providing 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 useful in psychological science, such as correlation matrices, assessment plot creation or normalization. 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(). Contrary to many other packages which goal is to produce statistical analyzes, psycho aims at filling the gap between statistical R outputs and statistical report writing, with a focus on APA formatting guidelines, to enhance the standardization of results reporting. Complex outputs, such as those of Bayesian and frequentist mixed models, are automatically transformed into readable text, tables, and plots that illustrate the effects. Thus, the results can easily be incorporated into shareable reports and publications, promoting data exploration, saving time and preventing errors for better, reproducible, science.