A Toolbox for Geometric Data Analysis and More


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Documentation for package ‘GDAtools’ version 1.7.2

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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