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mate
2005 Jan 05
0
lme, glmmPQL, multiple random effects
...think) code an lme() model, using
pdBlocked, pdIdent and a dummy grouping variable in a grouped data
object.
> load("~/RbinaryData.rda")
> dd<-data.frame(RbinaryData,dum=factor(rep(1,120)))
> names(dd)
[1] "Cross" "Female" "Male" "Mate1" "dum"
> summary(dd)
Cross Female Male Mate1 dum
RR:30 1 : 6 1 : 6 Min. :0.0000 1:120
RW:30 2 : 6 2 : 6 1st Qu.:0.0000
WR:30 3 : 6 3 : 6 Median :1.0000
WW:30 4 : 6 4 : 6 Mean...