Imports: stats, utils, BAMMtools, ggplot2, reshape2

the visualizations of results. The descriptions of the package, methods
and case datasets refer to the citation information below.
Imports: stats, utils, BAMMtools, ggplot2, reshape2, grid

the visualizations of results. To use the package and to refer the

Title: Datasets for the Book Graphical Data Analysis with R
Description: Datasets used in the book 'Graphical Data Analysis with R' (Antony Unwin, CRC Press 2015).
Packaged: 2015-05-02 09:42:33 UTC; antonyunwin

Title: A toolbox for the analysis of categorical data in social
sciences, and especially Geometric Data Analysis.
Description: This package contains functions for 'specific' MCA (Multiple Correspondence Analysis),
'class specific' MCA, computing and plotting structuring factors and concentration ellipses,
'standardized' MCA, inductive tests and others tools for Geometric Data Analysis. It also provides functions
for the translation of logit models coefficients into percentages (forthcoming), weighted contingency tables and an association
measure - i.e. Percentages of Maximum Deviation from Independence (PEM).

Title: A Toolbox for the Analysis of Categorical Data in Social
Sciences, and Especially Geometric Data Analysis
Description: Contains functions for 'specific' MCA (Multiple Correspondence Analysis),
Multiple Factor Analysis, 'standardized' MCA, inductive tests and others tools for Geometric Data Analysis. It also provides functions
for the translation of logit models coefficients into percentages, weighted contingency tables and an association

Title: A Toolbox for Geometric Data Analysis and More
Imports: FactoMineR, nleqslv, nnet, ggplot2, ggrepel, RColorBrewer,
Description: 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 bivariate associations between variables
(phi, Cram<c3><a9>r V, correlation coefficient, eta-squared...).