Descriptive Statistical Analysis.
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.),
- graphical representations of the associations between two variables (using
ggplot2
), - weighted statistics,
- permutation tests.
Documentation
Please visit https://nicolas-robette.github.io/descriptio/ for documentation
Installation
Execute the following code within R
:
if (!require(devtools)){
install.packages('devtools')
library(devtools)
}
install_github("nicolas-robette/descriptio")
Citation
To cite descriptio
in publications, use :
Robette N. (2023), descriptio
: Descriptive Analysis of Associations between two Variables in R
, version 1.1, https://nicolas-robette.github.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, [http://cibois.pagesperso-orange.fr/bms93.pdf]
Rakotomalala R., « Comprendre la taille d'effet (effect size) », [http://eric.univ-lyon2.fr/~ricco/cours/slides/effect_size.pdf]