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 |