Dear all,
I've been reading for many days trying to predict with lmer but I haven't
managed to do it.
I've fitted an allometric model for trees where I have included climatic
variables and diameter in the fixed part and
in the random part I've included the experimental sites where trees are and
also their provenance region.
The model is like this :
f431<-lmer(log(H05)~log(DN05)*(PwS+ PoS+ PpS+
TpS)+PoP:log(DN05)+PwP:log(DN05)+(log(DN05)-1|P)+(log(DN05)-1|S/B)+(log(DN05)|SP),
data=data)
once I 've fitted the model I would like to make predictions for a new
data frame of values.
But i don't know how to do it.
For example I am interested in know how height varies (at a fixed diameter)
for a mean rainfall of a site in each provenance region to contrast with
how height response is for a mean rainfall provenance of each site and
things like this.
If someone can give any suggestion I will be pleased to listen to.
Thanks very much for your time,
The best
Natalia
[[alternative HTML version deleted]]
______________________________________________
R-help@r-project.org mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
