[R] how to analyze repeated measures count data?

[Wincent]

Not glm, it should be glmer in lme4 package.

Ronggui

On 22 March 2010 22:31, René Mayer <mayer at psychologie.tu-dresden.de> wrote:
> Dear R community,
>
> I've data-set with reaction times and count data (answers - yes, no) of N
> subjects under conditions A, B.
> For the analysis reaction time I used aov.
>
> fit.rt = aov(rt ~ A * B + Error(subjects/(A*B)), data = m )
>
> But how do I analyze the frequencies correctly?
>
> example fable of frequencies from one subject:
>
> , , = A1
>
>        B1      B2      B3
>  yes   31     36    19
>  no    22     27    10
> , ,  = A2
>
>      B1       B2    B3
>  yes   22     27    10
>  no    31     36    19
>
> Is a generalized linear model the right method?
> How do I specify the same model for the count data (frequencies) in glm?
>
> is this right: glm(count~A*B*answer+(1|subject),family=poisson)?
>
> Regards, René
>
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-- 
Wincent Ronggui HUANG
Doctoral Candidate
Dept of Public and Social Administration
City University of Hong Kong
http://asrr.r-forge.r-project.org/rghuang.html