Hi Milton, I tried this and it worked. But the block structure isn't right because when I try to plot this I still get an error message traps<-groupedData(mice~tree|plotID,outer=~time*fruit*veget|block,data=trap) > plot(traps,outer=T) I guess my question is should I try to fit a more simple grouped data structure and leave the formula of my model to deal with it? All I want is to generate a 3 graphs, one for each block, with mice as the response variable, time as the x axis and the different treatments as lines. I know I can do that using lattice. But I want to run my model after that, so I need to get the groupedData correct.
Thank you very much Humberto Dutra try trap$time<-factor(trap$time) trap$block<-factor(trap$block) On 7/19/08, hpdutra <[EMAIL PROTECTED]> wrote: > > > Hi everyone. I am trying to add a formula to my data using the > groupedData > function. > > So I tried to fit the following structure to my data. > > > traps<-groupedData(mice~tree|plotID,outer=~time*fruit*veget|block,data=trap) > > but time and block are still considered to be numeric, while in fact they > should be factor and ordered, respectively. > > sapply(traps,data.class) > mice plotID veget fruit time block tree > "numeric" "ordered" "factor" "factor" "numeric" "numeric" "numeric" > > -- View this message in context: http://www.nabble.com/wroung-groupedData-despite-reading-Bates-and-Pinheiro-3-times-tp18548213p18548416.html Sent from the R help mailing list archive at Nabble.com. ______________________________________________ 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.
