RSDA (version 1.1)

cfa.minmax: Principal components of interval type

Description

Compute the minimum and maximum of the principal components of interval type.

Usage

cfa.minmax(sym.data, TFilas, TFilasMin, TFilasMax, TColumnas, 
                    TColumnasMin, TColumnasMax, Total, VP, VPzz)

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.

TFilasMin

Min value of the total sum of the rows of the matrix.

TFilasMax

Max value of the total sum of the rows of the matrix.

TColumnas

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

TColumnasMin

Min value of the total sum of the columns of the matrix.

TColumnasMax

Max value of the total sum of the columns of the matrix.

Total

Sum total of the matrix.

VP

Eigenvectors of the matrix Z.

VPzz

Eigenvectors of the matrix zz.

Value

• Return the minimum and maximum of the principal components of interval type.

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)