Do you have Pinhiero and Bates (2000) Mixed-Effects Models in S and
S-Plus (Springer)? For me, "lme" is a Ferrari not a Volkswagen, and I
had to read a portion of this book before I could get much of anything
out of "lme".
hope this helps. spencer graves
Joerg Evermann wrote:> Hello,
>
> I apologize in advance if what I'm about to ask is trivial or has been
> answered before. In the latter case I would appreciate a pointer to the
> right list/location
>
> I'm trying to model the following experimental design with groupedData
> and lme in R:
>
> Subjects were measured on two tasks (continuous outcome variable is
> "Prob", tasks are coded as within-subjects factor
"Domain"). Subjects
> are recruited from three different groups ("Group") and assigned
to
> three different conditions ("Rules"). These all appear to be
fixed
> between-subjects factors. The effect I'm after is that of
"Rules".
>
> Additionally, I've measured for each observation (for each subject for
> each task) four continuous variables ("SelfAssessment",
"Usefulness",
> "Information" and "Ease") that I'd like to include
as covariates. These
> of course may partially depend on the subject. Additionally, in a
> post-test I measure yet another continuous variable for each subject
> ("UMLTTL").
>
> The problem I have is that I'm not sure how to properly include these
> continuous covariates in the groupedData formulas and the lme formulas.
>
> Any help will be appreciated, either on the list of by email.
>
> Many many thanks in advance.
>
> Joerg
>
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