?model.matrix
?contr.treatment
Whether this makes sense for PCA is another matter: princomp() contains a
test to stop this happening automatically with a formula argument. One
problem is the result depends on just how you do the transformation.
On Thu, 24 May 2007, J.Andrés Martínez wrote:
Hello everybody,
I am a new R user. At current moment I need to do a Principal Components
Analysis with a table who contain mixed variables (categorical and
numerical). There is some function available in R for transform these
variables?
For example: I need transform the categorical variable X who has 3 classes
in 2 numerical variables with 0s and 1s.
Thank you very much,
J. Andres
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--
Brian D. Ripley, [EMAIL PROTECTED]
Professor of Applied Statistics, http://www.stats.ox.ac.uk/~ripley/
University of Oxford, Tel: +44 1865 272861 (self)
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