Design matrix labels

If I have two factors A and B with levels '1','2','3' and '1','4','6','8'
recpectively (note the gaps in the second one).  As factors, the levels
are named as above while of course the internal codes are (1,2,3) and
(1,2,3,4) respectively.

I want to make a design matrix of these as one would in a linear model
except I can't use lm or glm since the error distribution is not
tractable. 

You can still use model.frame() and model.matrix() to create design
matrices from formulas.

	mf<-model.frame(~A+B)
	mmat<-model.matrix(~A+B,mf)

If your factors A and B are in a data frame you can use the data= argument
to model.frame().

This is what glm() and lm() do internally.

Thomas Lumley
Assistant Professor, Biostatistics
University of Washington, Seattle


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