Toolbox for Psychologists, Neuropsychologists and Neuroscientists

Contains statistical functions (for patient assessment, data preprocessing and reporting, ...) and datasets useful in psychology, neuropsychology and neuroscience.

An R Toolbox for Psychologists, Neuropsychologists and Neuroscientists

Stable Version
Latest Version

  • To get the stable version (0.2.4) From CRAN, run the following commands in your R console:
  • To get the latest development version (0.3.0), run the following:

If it doesn't work, try updating R.

df <- personality

Available datasets are:

  • personality

See the description of each dataset by typing ?nameofthedataset (e.g., ?personality) in the console.

First, create a folder with several PDFs (journal articles for example, but you can also use your own specific word list). Add an R script in it and run one of the following:

braincloud(image="brain1", text.size=0.6, colours.replicate=FALSE)

Note: these brainclouds are based on the work of Dr. Robin Carhart-Harris.

Your patient has an IQ of 78. What does it mean? You'd like to insert a plot in your report? Use the assess() fucntion, that compares your patient's score with the mean and standard deviation of your test (for the IQ, 100 and 15, respecetively).

assess(score=78, mean=100, sd=15)

You can also compare it to a custom parent distribution if you have the data. For example, your patient is 27 and you want to see where it stands compared to the participants of the `personality` dataset. You can also change the colours. See `?assess` for more documentation. ```R assess(score=27, distribution=personality$Age) ``` ```R "The participant (score = 27) is positioned at 0.02 standard deviations from the mean (M = 26.8, SD = 10.59). The participant's score is greater than 74.42 % of the general population." ```

To save the plot: ```R plot Get a correlation plot and table with significance stars
write.csv(cortable(personality), "mytable.csv") # Save the table
ggsave("corplot.png", cortable(personality)) # Save the plot

This function will automatically select the numeric columns of your dataframe and show a correlation table with significance stars. You can adjust the p value by applying different corrections or change the type of correlation type (Spearman's or Pearson's). You can also view the result in RStudio or save it as a .csv file to open it in excel. Run ?cortable for documentation.


This function prints a nice summary of your dataframe. Note that you can also group the descriptions by a factor using the "group" argument. See ?describe for more documentation.

You can also pipe the selection and filtering process using the power of dplyr:

personality %>%
  filter(Mood_Disorder=="Absence") %>%
  select(Sex, Antagonism, Negative_Affect, Extraversion) %>%
Description of F 
                mean median  var   sd valid.n
Antagonism      1.71    1.6 1.05 1.02     941
Negative_Affect 3.38    3.4 1.98 1.41     941
Extraversion    3.43    3.5 2.21 1.49     941
Description of M 
                mean median  var   sd valid.n
Antagonism      2.37   2.20 1.56 1.25     245
Negative_Affect 2.65   2.60 1.74 1.32     245
Extraversion    3.27   3.25 2.30 1.52     245

  • You need some help? You found a bug? You would like to request a new feature? Just open an issue :relaxed:
  • Want to add yourself a feature? Correct a bug? You're more than welcome to contribute! Check this tutorial (French or English) to see how to submit your changes on github.
  • Check this style guide to write R code with style.

Run the following commands to see the proper citation entry in APA6 or Bibtex format:


Note: The authors do not give any warranty. If this software causes your keyboard to blow up, your brain to liquefy, your toilet to clog or a zombie plague to leak, the authors CANNOT IN ANY WAY be held responsible.



  • No plans yet.

CURRENT: 0.2.6

  • APAze(): Added support for Bayes Factors.
  • Created a history of changes via this changelog.
  • braincloud(): Changed the default colour palette.
  • Don't remember.

Reference manual

It appears you don't have a PDF plugin for this browser. You can click here to download the reference manual.


0.5.0 by Dominique Makowski, 6 months ago

Report a bug at

Browse source code at

Authors: Dominique Makowski [aut, cre], Phillip Alday [ctb]

Documentation:   PDF Manual  

MIT + file LICENSE license

Imports dplyr, tidyr, ggplot2, lme4, psych, ggcorrplot, Hmisc, MuMIn, png, tm, wordcloud2, BayesFactor, htmlTable, ppcor, stringi, caret

Depends on tidyverse

Suggests lmerTest

See at CRAN