Hi Rodrigo,
it is not easy to anwer your question since you did not provide some
data to work with, nor what went wrong with your code.
Anyway, as far as I can catch I would try the following
library(nlme)
df.GD <- groupedData(Y ~ fact_A +fact_B|fact_C, data=DataFrame)
lme.1 <-lme(y~fact_A + fact_B, data=GD, random=~1|fact_C)
I'm not sure on the syntax for corClasses, but from the book cited below
I see some examples like
corr=corAR1(0.8, form= ~1|fact_C)
Should you move definitely to R, I strongly suggest you to buy and study
the following book
Pinheiro, J.C., and Bates, D.M. (2000) "Mixed-Effects Models in S
and S-PLUS", Springer.
All the best
--
Ottorino-Luca Pantani, Università di Firenze
Dip. Scienza del Suolo e Nutrizione della Pianta
P.zle Cascine 28 50144 Firenze Italia
Tel 39 055 3288 202 (348 lab) Fax 39 055 333 273
[EMAIL PROTECTED] http://www4.unifi.it/dssnp/
______________________________________________
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.
