This list is about R programming, not statistics, although admittedly there is a nonempty intersection. However, I think you would do better posting this on a statistics list like stats.stackexchange.com.
-- Bert Bert Gunter "The trouble with having an open mind is that people keep coming along and sticking things into it." -- Opus (aka Berkeley Breathed in his "Bloom County" comic strip ) On Thu, Aug 3, 2017 at 7:19 AM, Adrian Johnson <oriolebaltim...@gmail.com> wrote: > Hello group, > > my question is deciding what test would be appropriate for following question. > > An experiment 'A' yielded 3200 observations of which 431 are > significant. Similarly, using same method, another experiment 'B' on a > different population yielded 2541 observations of which 260 are > significant. > > There are 180 observations that are common between significant > observations of A and B. > (180 are common between 431 and 260). > > 80 observations are specific to A > 251 observations are specific to B. > > The question are the 180 observations that are common between A and B > - are these 180 common observations occurring by chance? > > What test would be appropriate for this scenario. (if my total > observations are fixed between two experiments A and B, I could use > Cohens kappa for concordance or Chi-square etc. > Since the total observations differ between experiments A and B, I > dont know what test would be appropriate. I appreciate your help. > > thanks > > ______________________________________________ > R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see > 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 -- To UNSUBSCRIBE and more, see 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.