Man pages for Rsoc/
Specific Correspondence Analysis for the Social Sciences

add.casesAdd a layer of cases (individuals) to an mca map
add.categoriesAdd a layer of categories (modalities) to an mca map
add.countAdd a new layer of points on top of an existing plot with...
add.densityAdd a layer with density curves to an mca map.
add.ellipseAdd a layer with concentration ellipses to an mca map.
add.quadrant.labelsAnnotate labels to the quadrants of an MCA or any ggplot2... values to label
assign.labelAssign new labels
average.coordAverage coordinates
balanceContribution balance
breakdown.varianceBreakdown of variance by group
contributionSummaries of contribution values
cowboy_cutCut ordinal variables
create.quadrantCreate categories according to the quadrant position of each...
csa.allMultiple Class Specific Correspondence Analysis on all values...
csa.measuresCSA measures
directorsDirectors dataset
ellipsesCalculate concentraion ellipses
exportExport results from
export.labelExports the labels of a object into a csv file.
extract_casesExtract individuals
extract_catsExtract coordinates for the categories from an soc.mca
extract_supExtract supplementary categories from an soc.mca
get.category.relationsGet and calculate the relationships and oppositions between...
headingsCalculate contributions per heading
ind.explorerExplore the cloud of individuals
indicatorIndicator matrix the indicator matrix from an MCA to long format
invertInvert the direction of coordinates
map.activeMap the active modalities
map.addAdd points to an existing map created by one of the
map.arrayArray of maps the base of a map
map.csa.allArray of several CSA maps
map.csa.mcaMap the coordinates of the individuals in a CSA and its MCA
map.csa.mca.arrayCSA-MCA array
map.ctrMap the most contributing modalities
map.densityDensity plot for the cloud of individuals
map.ellipseConcentration ellipses
map.ellipse.arrayEllipse array
map.indMap the individuals of a analysis
map.modMap all modalities
map.pathMap path along an ordered variable
map.selectMap select modalities and individuals
map.supMap the supplementary modalities
mca.eigen.checkMCA Eigenvalue check
mca.triadsCompare MCA's with triads
min_cutCut a continuous variable into categories with a specified...
moschidisMoschidis example
pe13The Field of the Danish Power Elite
pipePipe operator
political_space97French Political Space example
print.soc.mcaPrint objects
prune.mcaRemove unnecessary variables from an MCA
randomize.mcaCreate a randomized mca on the basis of an existing mca a package for specific correspondence analysis
soc.csaClass Specific Multiple Correspondence Analysis
soc.mcasoc.mca 'soc.mca' performs a specific multiple correspondence...
supplementary.categoriesSupplementary coordinates for a data.frame of factors
supplementary.individualsAdd supplementary individuals to a result object
tasteTaste dataset
to.MCAConvert to MCA class from FactoMineR
varianceVariance table if data is valid for soc.mca
Rsoc/ documentation built on Oct. 13, 2023, 7:35 p.m.