[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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