# A Toolbox for Geometric Data Analysis and More

## Documentation for package ‘GDAtools’ version 1.7.2

- DESCRIPTION file.
- User guides, package vignettes and other documentation.

## Help Pages

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