Hi (sorry, I don´t got your name)

May be this help you.

trap$time<-factor(trap$time)
 trap$block<-factor(trap$block)


All the best,

miltinho astronauta
brazil



On 7/19/08, hpdutra <hpdutra@yahoo.com> wrote:
>
>
> Hi everyone.  I am trying to add a formula to my data  using the
> groupedData
> function.
> My experiment consists of randomized block design using fruits, vegetation
> and time as factors. The idea is to see if fruits, vegetation and time
> explain the abundance of mice. I am using tree density as a covariate.
> 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"
>
> Is there a way to change that?
>
> Thank you very much.
>
> PS: the levels for fruit and veget are intact or removed
> --
> View this message in context:
> http://www.nabble.com/wroung-groupedData-despite-reading-Bates-and-Pinheiro-3-times-tp18548213p18548213.html
> Sent from the R help mailing list archive at Nabble.com.
>
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> and provide commented, minimal, self-contained, reproducible code.
>

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