GDAtools: A Toolbox for Geometric Data Analysis and More

Contains functions for 'specific' Multiple Correspondence Analysis, Class Specific Analysis, Multiple Factor Analysis, 'standardized' MCA, computing and plotting structuring factors and concentration ellipses, inductive tests and others tools for Geometric Data Analysis (Le Roux & Rouanet (2005) <doi:10.1007/1-4020-2236-0>). It also provides functions for the translation of logit models coefficients into percentages (Deauvieau (2010) <doi:10.1177/0759106309352586>), weighted contingency tables, an association measure for contingency tables ("Percentages of Maximum Deviation from Independence", aka PEM, see Cibois (1993) <doi:10.1177/075910639304000103>) and some tools to measure and plot bivariate associations between variables (phi, Cramér V, correlation coefficient, eta-squared...).

Package details

AuthorNicolas Robette
MaintainerNicolas Robette <nicolas.robette@uvsq.fr>
LicenseGPL (>= 2)
Version1.7
URL https://github.com/nicolas-robette/GDAtools https://nicolas-robette.github.io/GDAtools/
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("GDAtools")

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GDAtools documentation built on May 31, 2021, 5:08 p.m.