As this seems to be a statistics, not an R, question, it is off topic
here. Post on a statistics list like stats.stackexchange.com instead.
-- Bert
On Tue, Mar 12, 2013 at 6:22 AM, Brian Smith <bsmith030...@gmail.com> wrote:
> Hi,
>
> My apologies for the naive question!
>
> I have three overlapping sets and I want to find the probability of finding
> a larger/greater intersection for 'A intersect B intersect C' (in the
> example below, I want to find the probability of finding more than 135
> elements that are common in sets A, B & C). For a two set problem, I guess
> I would do a Fisher or chi-square test. Here is what I have attempted so
> far:
>
> #################
>
> ### Prepare a 3 way contingency table:
> mytable <- array(c(135,116,385,6256,
> 48,97,274,9555),
> dim = c(2,2,2),
> dimnames = list(
> Is_C = c('Yes','No'),
> Is_B = c('Yes','No'),
> Is_A = c('Yes','No')))
>
> ## test
> mantelhaen.test(myrabbit, exact = TRUE, alternative = "greater")
>
> ###################### end code
>
> Is this the right test (alongwith the current parameters) to determine what
> I want or is there a more appropriate test for this?
>
>
>
> many thanks!!
>
> [[alternative HTML version deleted]]
>
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--
Bert Gunter
Genentech Nonclinical Biostatistics
Internal Contact Info:
Phone: 467-7374
Website:
http://pharmadevelopment.roche.com/index/pdb/pdb-functional-groups/pdb-biostatistics/pdb-ncb-home.htm
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