Hi Marianne,
How about this...
ac.ad - unstack(dat1, choice ~ cond1:cond2)[, c(A.C, A.D)]
acad.xtab - with(ac.ad, table(A.C, A.D))
Michael
On 29 November 2010 20:18, Marianne Promberger
marianne.promber...@kcl.ac.uk wrote:
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.
__
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.