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This package helped you? Don't forget to cite the various packages you used :) Try installing the missing packages ( `install.packages("thenameofapackage")`) and then, install psycho again (sometimes this can be done several times).Īnyway, once you have `psycho`, just put this at the beginning of every script: There is no package called ‘ ** thenameofapackage **’ĮRROR : lazy loading failed for package ‘ psycho’ **In case of error**: Sometimes the installation fails, and you might find in the red output the following lines: If you've never used `psycho`, enter one of the following in the console and press enter:ĭevtools ::install_github( "neuropsychology/psycho.R ") Knitr ::include_graphics( "images/workflow.PNG ") Thus, the results can easily be incorporated into shareable reports and publications, promoting data exploration, saving time and preventing errors for better, reproducible, science.

Complex outputs, such as those of Bayesian and frequentist mixed models, are automatically transformed into readable text, tables, and plots that illustrate the effects. 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. Four functions can then be applied on a psychobject: `summary()`, `print()`, `plot()` and `values()`. Main functions from the package return this type, and the `analyze()` function transforms other R objects into psychobjects.

The package revolves around the psychobject. It also implements various functions useful in psychological science, such as correlation matrices, assessment plot creation or normalization. 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.
