Learn R Programming

RSDA (version 1.1)

sym.cfa: Symbolic correspondence analysis

Description

Correspondence Analysis for Symbolic MultiValued Variables.

Usage

sym.cfa(sym.data)

Arguments

sym.data
Should be a symbolic data table read with the function read.sym.table(...).

Value

  • Return the interval principal components.

References

Rodriguez, O. (2011). Correspondence Analysis for Symbolic MultiValued Variables. Workshop in Symbolic Data Analysis Namur, Belgium.

See Also

cfa.Czz

Examples

Run this code
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')

Run the code above in your browser using DataLab