[R] GLMM and data manipulation (2nd try)

Andrew Robinson A.Robinson at ms.unimelb.edu.au
Fri May 2 23:01:49 CEST 2008


On Sat, May 03, 2008 at 06:43:22AM +1000, Andrew Robinson wrote:
> On Fri, May 02, 2008 at 03:06:31PM -0500, Giovanni Petris wrote:
> > 
> > Hello,
> > 
> > I posted a question yesterday but I got no replies, so I'll try to
> > reformulate it in a more concise way. 
> > 
> > I have the following data, summarizing approval ratings on two
> > different surveys for a random sample of 1600 individuals:
> > 
> > > ## Example: Ratings of prime minister (Agresti, Table 12.1, p.494)
> > > rating <- matrix(c(794, 86, 150, 570), 2, 2)
> > > dimnames(rating) <- list(First = c("approve", "disapprove"),
> > +                          Second = c("approve", "disapprove"))
> > > rating
> >             Second
> > First        approve disapprove
> >   approve        794        150
> >   disapprove      86        570
> > 
> > I would like to fit a logit model with approve/disapprove as response,
> > survey (first/second) as a fixed effect, and subject as a random
> > effect. 
> > 
> > 1) Is it possible to fit such a model directly using "lmer"?
> > 
> > or 
> > 
> > 2) Should I unroll the table above into a dataframe containing also
> >    fictitious subject id's? If this is the case, what is a clean way
> >    of doing it? 
> 
> 
> Unroll it. 
> 
> Asking for a "clean" way to do something is a disincentive because it
> implies that you know how to do it but not cleanly.  In the future I
> would suggest that you do one of two things
> 
> a) post your on dirty version and ask for a cleaner one, or
> 
> b) just ask for something that works.
>  
> Something like ...

Or (possibly better) make time a factor.
 
ratings <- 
	data.frame(
	response = c(
		 rep(c(1,1), 794), 
		 rep(c(1,0), 150),
		 rep(c(0,1),  86),
		 rep(c(0,0), 570)),
	time = factor(rep(c(1,2), 1600)),
	subject=rep(1:1600, each=2))

test.lmer <- lmer(response ~ time + (1|subject), data=ratings,
     	     family=binomial)


Andrew
 
> but I don't know if you think that's clean or not.
> 
> Andrew
>  
> > Thank you in advance,
> > Giovanni Petris
> > 
> > -- 
> > 
> > Giovanni Petris  <GPetris at uark.edu>
> > Associate Professor
> > Department of Mathematical Sciences
> > University of Arkansas - Fayetteville, AR 72701
> > Ph: (479) 575-6324, 575-8630 (fax)
> > http://definetti.uark.edu/~gpetris/
> > 
> > ______________________________________________
> > R-help at 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.
> 
> -- 
> Andrew Robinson  
> Department of Mathematics and Statistics            Tel: +61-3-8344-6410
> University of Melbourne, VIC 3010 Australia         Fax: +61-3-8344-4599
> http://www.ms.unimelb.edu.au/~andrewpr
> http://blogs.mbs.edu/fishing-in-the-bay/ 

-- 
Andrew Robinson  
Department of Mathematics and Statistics            Tel: +61-3-8344-6410
University of Melbourne, VIC 3010 Australia         Fax: +61-3-8344-4599
http://www.ms.unimelb.edu.au/~andrewpr
http://blogs.mbs.edu/fishing-in-the-bay/



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