supqual: Projection of Qualitative Variables in PCA and MCA
In FactoClass: Combination of Factorial Methods and Cluster Analysis

Description Usage Arguments Value Author(s) Examples

View source: R/supqual.R

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

1	supqual(du,qual)

`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

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

Campo Elias Pardo [email protected]

# 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)])