Hi,
thx Bert, I forward the question. I forgot a detail. For each (location,
plot, year) combination there are 6 (dose, response) pairs.
$ plot: Factor w/ 4 levels "1","2","3","4":
$ location : Factor w/ 5 levels "loc1","loc2",..:
$ year: Factor w/ 3 levels "2009","2010",..:
$ dose: num 27.3 32.
1. Post on R-sig-mixed-models instead. Much more expertise and relevance there.
2. I would forget about mixed effects and treat the locations as
fixed. With only 5, you don't have enough information to estimate the
variance component with any precision anyway.
3. Feel free to ignore (2) and defe
Hi,
I want to fit nonlinear dose-response curves, as "fun(X,a,b,c)", for
each of our 5 trail locations. Our data basis is something like
location plot year dose response
For each location there are 4 plots as repetitions (over 3 years). So
the interactions "location*year" and "location*plot" sho
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