>>>>> Therneau, Terry M , Ph D <thern...@mayo.edu>
>>>>> on Fri, 15 Apr 2016 06:58:22 -0500 writes:
> I'd like to get interaction terms in a model to be in
> another form. Namely, suppose I had variables age and
> group, the latter a factor with levels A, B, C, with age *
> group in the model. What I would like are the variables
> "age:group=A", "age:group=B" and "age:group=C" (and group
> itself of course). The coefficients of the model will
> then be the age effect in group A, the age effect in group
> B and the age effect in C rather than the standard ones of
> an overall age effect followed by contrasts. These is
> often a better format for tables in a publication.
Did you try to use one of the good old
dummy.coef()
or
model.tables()
Functions?
Please use R 3.2.4 or newer, notably for dummy.coef() which was
improved (made more generally working) for R 3.2.4, notably
thanks to my colleague Werner Stahel.
Best regards,
Martin
--
Martin Maechler, ETH Zurich
> Yes, I can reconstruct these from the original fit, but I
> have a lot of variables for several models and it would be
> easier to have an automatic form. I suspect that there is
> an easy answer, but I don't see it.
> Terry Therneau
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