Geometric Data Analysis
Plots for Ascending Hierarchical Clustering
Cosine similarities and angles between CSA and MCA
Bar plot of contributions
Between-class MCA
Between-class Principal Component Analysis
Bootstrap validation (supplementary variables)
Bootstrap validation (active variables)
Additive Breakdowns of Variances
Burt table
Coinertia analysis between two groups of categorical variables
Coinertia analysis between two groups of numerical variables
Concentration ellipses
Contributions of active variables
Class Specific Analysis
Discriminant Analysis
Discriminant Analysis of Qualitative Variables
Deprecated functions
Dichotomizes the variables in a data frame
Dichotomizes the factor variables in a mixed format data frame
Description of the contributions to axes
Description of the dimensions
Correlation ratios (aka eta-squared) of supplementary variables
Typicality tests for supplementary variables
Chi-squared distance
Flips the coordinates
Names of the categories in a data frame
Plot of attractions between categories
Convex hulls for a categorical supplementary variable
Heatmap of under/over-representation of a supplementary variable
Density plot of a supplementary variable
Confidence ellipses
Plot of interactions between two categorical supplementary variables
Concentration ellipses and k-inertia ellipses
Main and partial effect of a supplementary variable
Plot of supplementary individuals
Plot of a categorical supplementary variable
Plot of categorical supplementary variables
Plot of variables on a single axis
Ellipses of bootstrap validation (supplementary variables)
Ellipses of bootstrap validation (active variables)
Plot of the cloud of individuals
Plot of the cloud of variables
eta-squared plot
Plots the density a supplementary variable
Generalized Principal Component Analysis
Homogeneity test for a categorical supplementary variable
App for junk categories of specific MCA
Multiple Correspondence Analysis with Instrumental Variables
Multiple Correspondence Analysis with Orthogonal Instrumental Variable...
Medoids of clusters
Benzecri's modified rates of variance
Multiple Factor Analysis
Biplot for Nonsymmetric Correspondence Analysis
Nonsymmetric Correspondence Analysis
Principal Component Analysis with Instrumental Variables
Principal Component Analysis with Orthogonal Instrumental Variables
Contributions to a plane
Plot of class specific MCA
Plot of Multiple Factor Analysis
Plot of specific MCA
Plot of standardized MCA
Quadrant of active individuals
Quasi-correspondence analysis
Reshapes objects created with bcMCA()
RV coefficient
Scaled deviations for a categorical supplementary variable
specific MCA
Standardized MCA
Statistics for supplementary individuals
Statistics for a categorical supplementary variable
Statistics for categorical supplementary variables
Table with the main contributions of categories to an axis
Plot of supplementary individuals
Plot of a categorical supplementary variable
Deprecated function
Within-class MCA
Within-class Principal Component Analysis
Many tools for Geometric Data Analysis (Le Roux & Rouanet (2005) <doi:10.1007/1-4020-2236-0>), such as MCA variants (Specific Multiple Correspondence Analysis, Class Specific Analysis), many graphical and statistical aids to interpretation (structuring factors, concentration ellipses, inductive tests, bootstrap validation, etc.) and multiple-table analysis (Multiple Factor Analysis, between- and inter-class analysis, Principal Component Analysis and Correspondence Analysis with Instrumental Variables, etc.).
Useful links