On Jan 6, 2011, at 1:23 PM, kiotoqq wrote:
I've got a dataset which looks like this in the beginning:
cbr dust smoking expo
1 0 0.20 1 5
2 0 0.25 1 4
3 0 0.25 1 8
4 0 0.25 1 4
5 0 0.25 1 4
(till no. 1240, anyway, a huge set)
I have to analyse cbr and smoking, I know it works with chisq.test()
for the
whole set, but I only need cbr and smoking, and I have no idea how to
extract them.
This is not a sufficiently complex example on which to offer a
solution, nor is it even clear enough to understand definitively what
you want. So here is a guess:
dfrm[which(dfrm$cbr==1 & dfrm$smoking==1), ]
... which would return a dataframe (or matrix depending on what form
that data exists in) with only those cases where thos two conditions
hold. You can either assign this value to an R object or you can apply
the chisq.test() in what ever (unstated) manner you think has been
"working" to the returned value as a whole.
Please read the message at the bottom and follow its encouragement to
read the Posting Guide.
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David Winsemius, MD
West Hartford, CT
______________________________________________
R-help@r-project.org mailing list
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PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
