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Both Dullnes
and Clothing
are ordered categories, so models and methods
that examine their association in terms of ordinal categories are profitable.
data(Gilby)
Dullness
"Ment. defective", "Slow", "Slow Intell", "Fairly Intell", "Capable", "V.Able"
2 Clothing
"V.Well clad", "Well clad", "Passable", "Insufficient"
}
data(Gilby)
mosaic(Gilby, shade=TRUE)
# correspondence analysis to see relations among categories
if(require(ca)){
ca(Gilby)
plot(ca(Gilby))
title(xlab="Dimension 1", ylab="Dimension 2")
}
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