RVAideMemoire (version 0.9-7)

scat.mix.categorical: Representation of qualitative variables in Hill and Smith mix analysis

Description

Represent qualitative variables of a Hill and Smith mix analysis as in MCA. The function is based on the s.class() function of the package ade4.

Usage

scat.mix.categorical(dudi.obj, xax = 1, yax = 2, csub = 2, possub = "topleft", ...)

Arguments

dudi.obj

dudi.mix object.

xax

horizontal axis.

yax

vertical axis.

csub

title size.

possub

title position ("topleft", "topright", "bottomleft" or "bottomright").

...

additional arguments to s.class(). See help of this function.

References

Champely, S. 2005 Introduction � l'analyse multivari�e (factorielle) sous R.

See Also

dudi.mix, s.class

Examples

# Imaginary dataset
age<-sample(15:60,50,replace=TRUE)
sex<-sample(c("M","F"),50,replace=TRUE)
size<-sample(155:190,50,replace=TRUE)
hair<-sample(c("Fair","Dark","Russet"),50,replace=TRUE)
eyes<-sample(c("Blue","Green","Brown"),50,replace=TRUE)
weight<-sample(50:85,50,replace=TRUE)
hand<-sample(c("Left.handed","Right.handed"),50,replace=TRUE)
tab<-data.frame(age,sex,size,weight,hand,eyes,hair)
amix<-dudi.mix(tab,scannf=FALSE,nf=2)
scat.mix.categorical(amix)