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| burt | Computes a Burt table |
| conc.ellipse | Adds concentration ellipses to a correspondence analysis graph. |
| 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 |
| 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 |
| Music | Music (data) |
| 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 |
| Taste | Taste (data) |
| textindsup | Adds supplementary individuals to a MCA graph |
| textvarsup | Adds a categorical supplementary variable to a MCA graph |
| varsup | Computes statistics for a categorical supplementary variable |
| wtable | Computes a (possibly weighted) contingency table |