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 |