RSDA (version 1.1)

cfa.MatrixZ: Compute the matrix Z

Description

Compute the matrix Z

Usage

cfa.MatrixZ(sym.data, TFilas, TColumnas)

Arguments

sym.data

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

TFilas

Value of the total sum of the rows of the matrix.

TColumnas

Value of the total sum of the columns of the matrix.

Value

• Return the matrix Z.

References

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

See Also

sym.cfa

Examples

data(ex_cfa1) 
res<-cfa.totals(ex_cfa1)
Z<-cfa.MatrixZ(ex_cfa1,res$TotalRows,res$TotalColumns) 
svd<-eigen(Z)
MVPRealz<-cfa.CVPRealz(ex_cfa1,res$TotalRows,res$TotalColumns,res$Total,svd$vectors)
Mzz<-cfa.Czz(ex_cfa1,res$TotalRows,res$TotalColumns,MVPRealz,svd$values)
CMM<-cfa.minmax(ex_cfa1,res$TotalRows,res$TotalRowsMin,res$TotalRowsMax,
             res$TotalColumns,res$TotalColumnsMin,res$TotalColumnsMax,
             res$Total,MVPRealz,Mzz)