Descriptive Statistical Analysis

Description of statistical associations between variables : measures of local and global association between variables (phi, Cramér V, correlations, eta-squared, Goodman and Kruskal tau, permutation tests, etc.), multiple graphical representations of the associations between variables (using 'ggplot2') and weighted statistics.

descriptio

Descriptive Statistical Analysis

descriptio provides functions for the description of statistical associations between two variables :

measures of local and global association between variables (phi, Cramer's V, point-biserial correlation, eta-squared, Goodman & Kruskal tau, PEM, etc.)
summaries of bivariate associations among a set of variables
graphical representations of the associations between two variables (using ggplot2)
weighted statistics
permutation tests

Documentation

Please visit https://nicolas-robette.frama.io/descriptio/ for documentation

Installation

Execute the following code within R:

if (!require(devtools)){
    install.packages('devtools')
    library(devtools)
}
install_git("https://framagit.org/nicolas-robette/descriptio")

Citation

To cite descriptio in publications, use :

Robette N. (2025), descriptio : Descriptive Analysis of Associations between Variables in R, version 1.4, https://nicolas-robette.frama.io/descriptio/

References

Agresti, A. (2007). An Introduction to Categorical Data Analysis, 2nd ed. New York: John Wiley & Sons.

Cibois P., 1993, « Le PEM, pourcentage de l'ecart maximum : un indice de liaison entre modalites d'un tableau de contingence », Bulletin de Methodologie Sociologique, 40, pp 43-63, [https://ciboispagesperso.fr/bms93.pdf]

Rakotomalala R., « Comprendre la taille d'effet (effect size) », [http://eric.univ-lyon2.fr/~ricco/cours/slides/effect_size.pdf]