On 27.12.2011 14:43, Silvano wrote:
Hi, I'm analyzing a longitudinal data set with 387 cows were observed in 63 days divided into 6 groups, and every 30 days was found to produce milk. Does not aim to model the time using regression. Only compare the groups differ in terms of milk production. There are many missing observations. Because the data are correlated I used the SAS program: proc mixed data=univar method=reml; class RACA GRUPO APELIDO Dias; model Prod = GRUPO / solution DDFM=BW; repeated Dias / type=arh(1) subject=APELIDO r rcorr; lsmeans GRUPO / pdiff adjust=tukey; run ;
See package SASmixed that includes some nice examples how to move from SAS to R.
Uwe Ligges
But, I want use R. What would be the equivalent in R? Thank you. -------------------------------------- Silvano Cesar da Costa Departamento de EstatÃstica Universidade Estadual de Londrina Fone: 3371-4346 ______________________________________________ [email protected] 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.
______________________________________________ [email protected] 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.
