[R] extract variables from linear model
schaber at molgen.mpg.de
Thu Jan 12 14:49:45 CET 2006
I fitted a linear model:
fit <- lm(y ~ a * b + c - 1 , na.action='na.omit')
Now I want to extract only the a * b effects with confidence intervals.
Of course, I can just add the coefficients by hand, but I think there
should an easier way.
I tried with predict.lm using the 'terms' argument, but I didn't manage
to do it.
Any hints are appreciated,
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