Dear list,
I have data like this:
dat1 <- data.frame(subject=rep(1:10,2),
cond1=rep(c("A","B"),each=5),
cond2=rep(c("C","D"),each=10),
choice=sample(0:1,10,replace=TRUE))
I would like to compare subjects' "choice" for (cond1=="A" &
cond2=="C") vs (cond1=="A" & cond2=="D"), using mcnemar.test
The ?mcnemar.test example has the data in a matrix:
Performance
2nd Survey
1st Survey Approve Disapprove
Approve 794 150
Disapprove 86 570
So for my case, I need something like:
Choice
AC
AD 0 1
0 ...
1
Where "..." would be the sum of subjects who answered 0 or 1 to AC
and/or AD respectively.
I can get the first step by making an extra variable:
dat1$condnew <- paste(dat1$cond1,dat1$cond2,sep="")
although I am sure there are more elegant ways, and especially, I am
stumped how to fill in the cells of the table.
Thanks,
Marianne
--
Marianne Promberger PhD, King's College London
http://promberger.info
R version 2.12.0 (2010-10-15)
Ubuntu 9.04
______________________________________________
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.
