diff --git a/paper/paper.md b/paper/paper.md index a914575..7ef08a2 100644 --- a/paper/paper.md +++ b/paper/paper.md @@ -22,6 +22,6 @@ bibliography: paper.bib # Summary -Psycho is an R package [@team2000r] 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. +Psycho is an R package [@team2000r] which main goal is to fill the gap between statistical analyses and publication-ready text, involving information selection, results transformation and text formatting. These steps, beyond being the most time-consuming part of statistical analysis in psychological science, are the source of many human errors and can lead to a badly formatted results section, veiling the general quality of the paper. The `psycho` package, built for psychologists, neuropsychologists and neuroscientists, also implements commonly used routines such as correlation matrices, assessment plot creation or normalisation. The package revolves around the `psychobject`, returned by most of the functions. Additionally, the `analyse()` function transforms other R objects into psychobjects. Four methods can then be applied on them: `summary()`, `print()`, `plot()` and `values()`. Contrary to many other packages which goal is to produce statistical analyses, `psycho` bridges statistical R outputs with statistical report writing, with a focus on APA formatting guidelines, to enhance the standardisation 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. With that package, results can be easily incorporated into sharable reports and publications, promoting data exploration, saving time and preventing errors for better, reproducible, science. # References