Music                   Music (data)
Taste                   Taste (data)
assoc.catcont           Bivariate association
assoc.twocat            Bivariate association
burt                    Computes a Burt table
catdesc                 Bivariate associations
conc.ellipse            Adds concentration ellipses to a correspondence
                        analysis graph.
condesc                 Bivariate associations
contrib                 Computes contributions for a correspondence
                        analysis
csMCA                   Performs a 'class specific' MCA
dichotom                Dichotomizes the variables in a data frame
dimcontrib              Describes the contributions to axes for MCA and
                        variants of MCA
dimdesc.MCA             Describes the dimensions of MCA and variants of
                        MCA
dimeta2                 Describes the eta2 of a list of supplementary
                        variables for the axes of MCA and variants of
                        MCA
dimvtest                Describes the test-values of a list of
                        supplementary variables for the axes of MCA and
                        variants of MCA
getindexcat             Returns the names of the categories in a data
                        frame
ggadd_ellipses          Adds concentration ellipses to a MCA cloud of
                        individuals
ggadd_interaction       Adds the interaction between two categorical
                        supplementary variables to a MCA cloud of
                        variables
ggadd_supvar            Adds a categorical supplementary variable to a
                        MCA cloud of variables
ggcloud_indiv           Plots MCA cloud of individuals
ggcloud_variables       Plots MCA cloud of variables
homog.test              Computes a homogeneity test for a categorical
                        supplementary variable
indsup                  Computes statistics for supplementary
                        individuals
medoids                 Computes the medoids of clusters
modif.rate              Computes the modified rates of variance of a
                        correspondence analysis
multiMCA                Performs Multiple Factor Analysis
pem                     Computes the local and global Percentages of
                        Maximum Deviation from Independance (PEM)
plot.csMCA              Plots 'class specific' MCA results
plot.multiMCA           Plots Multiple Factor Analysis
plot.speMCA             Plots 'specific' MCA results
plot.stMCA              Plots 'standardized' MCA results
prop.wtable             Transforms a (possibly weighted) contingency
                        table into percentages
speMCA                  Performs a 'specific' MCA
stMCA                   Performs a 'standardized' MCA
tabcontrib              Displays the categories contributing most to
                        axes for MCA and variants of MCA
textindsup              Adds supplementary individuals to a MCA graph
textvarsup              Adds a categorical supplementary variable to a
                        MCA graph
translate.logit         Translate logit regression coefficients into
                        percentages
varsup                  Computes statistics for a categorical
                        supplementary variable
wtable                  Computes a (possibly weighted) contingency
                        table
