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Description

Descriptive Statistical Analysis.

Description of statistical associations between two 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 two variables (using 'ggplot2') and weighted statistics.

descriptio

Descriptive Statistical Analysis

R-CMD-check

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]

Metadata

Version

1.3

License

Unknown

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