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Correspondence Analysis for Symbolic MultiValued Variables.
sym.cfa(sym.data)
Should be a symbolic data table read with the function read.sym.table(...).
Return the interval principal components.
Rodriguez, O. (2011). Correspondence Analysis for Symbolic MultiValued Variables. Workshop in Symbolic Data Analysis Namur, Belgium.
data(ex_cfa1) res<-sym.cfa(ex_cfa1) cfa.scatterplot(sym.var(res,1),sym.var(res,2),num.gr1=ex_cfa1$N, labels=TRUE,col='red',main='CFA')
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