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Re: lme question (again)

To: Kyle Roberts <kroberts@unt.edu>
Subject: Re: lme question (again)
From: Jake Bowers <jbowers@csm.Berkeley.EDU>
Date: Thu, 26 Jun 2003 08:07:23 -0700 (PDT)
Cc: s-news@lists.biostat.wustl.edu
In-reply-to: <sefabfd2.033@gwia.unt.edu>
References: <sefabfd2.033@gwia.unt.edu>
Hi.

I think augPred objects are basically dataframes with a column labeled
".groups". Try:

mypreddat<-augPred(lme.object)
names(mypreddat) ##Just to see what those names are

xyplot(y~x, ##probably "y" and "x" will be different names here
groups=.groups,
subset=.type=="predicted", ##incase you just want predicted values,
panel=function(x,y,groups,...){
panel.superpose(x,y,groups,...)})

This might be more complicated with more than 2 levels of groups. But I
hope it will get you started.

Best,

Jake

------
Jake Bowers
Dept of Political Science
University of Michigan


On Thu, 26 Jun 2003, Kyle Roberts wrote:

> Dear All,
>
> I recently posted a question to the group but got no response, so I will try 
> again in another way.  If I use the command:
>
> plot(augPred(lme.object))
>
> I get a graph with the fitted regression lines for each level-2 structure 
> within a HLM/multilevel design (see Pinheiro and Bates, p. 40).  Although 
> this is useful, I want to also see a graph where each of these fitted 
> regression lines are all in the same box/area, not a different box for each 
> group.
>
> Any ideas?
>
> Kyle
>
> *****************************************************
> J. Kyle Roberts, Ph.D.
> Assistant Professor of Educational Research
> University of North Texas
> P.O.Box 311337
> Denton, TX   76203-1337
> voice - 940-369-7168
> fax - 940-565-2185
> kroberts@unt.edu
> *****************************************************
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