add.cases               Add a layer of cases (individuals) to an mca
                        map
add.categories          Add a layer of categories (modalities) to an
                        mca map
add.category.relations
                        Add category relations to a soc.ca plot
add.count               Add a new layer of points on top of an existing
                        plot with output from the min_cut function
add.density             Add a layer with density curves to an mca map.
add.ellipse             Add a layer with concentration ellipses to an
                        mca map.
add.quadrant.labels     Annotate labels to the quadrants of an MCA or
                        any ggplot2 based quadrant plot.
add.to.label            Add values to label
assign.label            Assign new labels
average.coord           Average coordinates
balance                 Contribution balance
breakdown.variance      Breakdown of variance by group
contribution            Summaries of contribution values
cowboy_cut              Cut ordinal variables
create.quadrant         Create categories according to the quadrant
                        position of each individual
csa.all                 Multiple Class Specific Correspondence Analysis
                        on all values in a factor
csa.measures            CSA measures
directors               Directors dataset
ellipses                Calculate concentraion ellipses
export                  Export results from soc.ca
export.label            Exports the labels of a soc.ca object into a
                        csv file.
extract_cases           Extract individuals
extract_cats            Extract coordinates for the categories from an
                        soc.mca
extract_sup             Extract supplementary categories from an
                        soc.mca
get.category.relations
                        Get and calculate the relationships and
                        oppositions between each pair of categories
headings                Calculate contributions per heading
ind.explorer            Explore the cloud of individuals
indicator               Indicator matrix
indicator.to.long       Pivot the indicator matrix from an MCA to long
                        format
invert                  Invert the direction of coordinates
map.active              Map the active modalities
map.add                 Add points to an existing map created by one of
                        the soc.ca mapping functions.
map.array               Array of maps
map.ca.base             Create the base of a soc.ca map
map.csa.all             Array of several CSA maps
map.csa.mca             Map the coordinates of the individuals in a CSA
                        and its MCA
map.csa.mca.array       CSA-MCA array
map.ctr                 Map the most contributing modalities
map.density             Density plot for the cloud of individuals
map.ellipse             Concentration ellipses
map.ellipse.array       Ellipse array
map.ind                 Map the individuals of a soc.ca analysis
map.mod                 Map all modalities
map.path                Map path along an ordered variable
map.select              Map select modalities and individuals
map.sup                 Map the supplementary modalities
mca.eigen.check         MCA Eigenvalue check
mca.triads              Compare MCA's with triads
min_cut                 Cut a continuous variable into categories with
                        a specified minimum
moschidis               Moschidis example
pe13                    The Field of the Danish Power Elite
political_space97       French Political Space example
print.soc.mca           Print soc.ca objects
prune.mca               Remove unnecessary variables from an MCA
randomize.mca           Create a randomized mca on the basis of an
                        existing mca
rename_aes              rename_aes We import this function from ggplot2
                        because it is not exported.
soc.ca                  Soc.ca a package for specific correspondence
                        analysis
soc.csa                 Class Specific Multiple Correspondence Analysis
soc.mca                 soc.mca 'soc.mca' performs a specific multiple
                        correspondence analysis on a data.frame of
                        factors, where cases are rows and columns are
                        variables.
supplementary.categories
                        Supplementary coordinates for a data.frame of
                        factors
supplementary.individuals
                        Add supplementary individuals to a result
                        object
taste                   Taste dataset
to.MCA                  Convert to MCA class from FactoMineR
variance                Variance table
what.is.x               Check if data is valid for soc.mca
