Thank you so much! I really appreciate the rapid response, and I was able to
solve my issues with this advice!
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I would approach something like this using predict(fit41$gam,...) (see
?predict.gam) to produce the data needed for the plots.
Another possibility is to use s(Time,trt,bs="fs") (but see
?factor.smooth.interaction first).
Note that gamm4 does not have a correlation argument, because lme4 does
My problem is relatively straight forward, but I cannot seem to find a way to
make it work.
I have a RCBD with repeated measurements over time. I have created a fit
using the gamm4 package. My model is:
fit4a <- gamm4(Rate ~ s(Time,by=trt,bs="cr")+trt,data=qual.11.dat,
random=~(1
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