Specific Correspondence Analysis for the Social Sciences

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Documentation for package ‘soc.ca’ version 0.8.0

• DESCRIPTION file.
• Package NEWS.

Help Pages

add.count	Add a new layer of points on top of an existing plot with output from the min_cut function
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
export	Export results from soc.ca
export.label	Exports the labels of a soc.ca object into a csv file.
extract_ind	Extract individuals
extract_mod	Extract coordinates for the categories from an soc.mca
extract_sup	Extract supplementary categories from an soc.mca
headings	Calculate contributions per heading
ind.explorer	Explore the cloud of individuals
indicator	Indicator matrix
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
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.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