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
______________________________________________
R-help@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.
