| angles.csa | Cosine similarities and angles between CSA and MCA |
| assoc.catcont | Measures the association between a categorical variable and a continuous variable |
| assoc.twocat | Cross-tabulation and measures of association between two categorical variables |
| assoc.twocont | Measures the association between two continuous variables |
| assoc.yx | Bivariate association measures between a response and predictor variables. |
| burt | Computes a Burt table |
| catdesc | Measures the association between a categorical variable and some continuous and/or categorical variables |
| conc.ellipse | Adds concentration ellipses to a cloud of individuals. |
| condesc | Measures the association between a continuous variable and some continuous and/or categorical variables |
| contrib | Computes contributions for a MCA |
| csMCA | Performs a 'class specific' MCA |
| darma | Describes Associations as in a Regression Model Analysis. |
| dichotom | Dichotomizes the variables in a data frame |
| dimcontrib | Describes the contributions to axes for a MCA |
| dimdescr | Describes the dimensions of a MCA |
| dimeta2 | Describes the eta2 of supplementary variables for the axes of a MCA |
| dimtypicality | Typicality tests for supplementary variables of a MCA |
| flip.mca | Flips the coordinates of a MCA |
| getindexcat | Returns the names of the categories in a data frame |
| ggadd_attractions | Adds attractions between categories via segments to a cloud of variables |
| ggadd_chulls | Adds convex hulls to a cloud of individuals |
| ggadd_corr | Adds a heatmap of under/over-representation of a supplementary variable to a cloud of individuals |
| ggadd_density | Adds a density layer to the cloud of individuals for a category of a supplementary variable |
| ggadd_ellipses | Adds confidence ellipses to a cloud of individuals |
| ggadd_interaction | Adds the interaction between two categorical supplementary variables to a cloud of variables |
| ggadd_kellipses | Adds k-inertia ellipses to a cloud of individuals |
| ggadd_supind | Adds supplementary individuals to a cloud of individuals |
| ggadd_supvar | Adds a categorical supplementary variable to a cloud of variables |
| ggassoc_boxplot | Boxplots with violins |
| ggassoc_crosstab | Plots counts and associations of a crosstabulation |
| ggassoc_phiplot | Bar plot of phi measures of association of a crosstabulation |
| ggassoc_scatter | Scatter plot with a smoothing line |
| ggcloud_indiv | Plots MCA cloud of individuals with ggplot2 |
| ggcloud_variables | Plots MCA cloud of variables with ggplot2 |
| 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 Benzecri's modified rates of variance of a MCA |
| Movies | Movies (data) |
| multiMCA | Performs Multiple Factor Analysis |
| Music | Music (data) |
| pem | Computes the local and global Percentages of Maximum Deviation from Independence (PEM) |
| phi.table | Computes the phi coefficient for every cells of a contingency table |
| 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 |
| speMCA | Performs a 'specific' MCA |
| stMCA | Performs a 'standardized' MCA |
| tabcontrib | Displays the categories contributing most to axes for a MCA |
| Taste | Taste (data) |
| textindsup | Adds supplementary individuals to a MCA graph |
| textvarsup | Adds a categorical supplementary variable to a MCA graph |
| translate.logit | Translates logit regression coefficients into percentages |
| varsup | Computes statistics for a categorical supplementary variable |
| wtable | Computes a (possibly weighted) contingency table |