supqual: Projection of Qualitative Variables in PCA and MCA

In FactoClass: Combination of Factorial Methods and Cluster Analysis

Description

It returns the coordinates and aids to the interpretation when one or more qualitative variables are projected as ilustrative in PCA or MCA

Usage

supqual(du,qual)

Arguments

du	a object of class “pca” or “acm” (“dudi”) obtained with dudi.pca or dudi.acm of package ade4
qual	a data.frame of qualitative variables as factors

Value

object of class list with the following:

wcat	weight of the categories in PCA case
ncat	frequency of the categories in MCA case
dis2	square distance to the origin from the complete space
coor	factorial coordinates
tv	test values
cos2	square cosinus
scr	relation of correaltion

Author(s)

Campo Elias Pardo [email protected]

Examples

# in PCA
data(admi)
Y<-admi[,2:6]
pcaY<-dudi.pca(Y,scannf=FALSE)
Yqual<-admi[,c(1,8)]
supqual(pcaY,Yqual)
# in MCA
Y<-admi[,c(8,11,9,10)]
mcaY<-dudi.acm(Y,scannf=FALSE)
supqual(mcaY,admi[,c(1,13)])

FactoClass documentation built on March 18, 2018, 1:37 p.m.