| 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 |
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