[R] Interaction effects with GAMM
bgunter@4567 @end|ng |rom gm@||@com
Tue Feb 19 19:32:45 CET 2019
Wrong list. This list is about R programming, not statistical questions on
mixed models. Post on the r-sig-mixed-models list for that.
"The trouble with having an open mind is that people keep coming along and
sticking things into it."
-- Opus (aka Berkeley Breathed in his "Bloom County" comic strip )
On Tue, Feb 19, 2019 at 10:07 AM Louise Baruël Johansen <louisebj using drcmr.dk>
> I have a question on how to model interaction terms including smooths in a
> GAMM model (using the mgcv and nlme packages in R).
> We have collected longitudinal behavioral and brain imaging data from ~100
> subjects across ~6 time points, and I would like to model main effects of
> age, sex, brain as well as to-way interaction terms (and maybe three-way
> interaction terms), while correcting for education level and taking random
> effects into account. Is using the ti() setup the way to do this:
> M = gamm(behav ~ ti(age) + sex + education + ti(age, by = sex) + brain +
> ti(brain, by = age), random = list(subjectID = ~1+age), data = data)
> All help will be appreciated.
> Thanks, Louise
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