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Showing content from http://cran.rstudio.com/web/packages/rlang/../descriptio/readme/README.html below:

README

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

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

Execute the following code within R:

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

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/

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]

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