Simulations in Fisher's Exact test

This is indeed the wrong list; r-help at r-project.org, or StackOverflow,
might be more appropriate.  I am guessing this is an assignment for a
class?  If so, it might be more useful to get clarification from your
instructor or teaching assistant (or a colleague in your class). The
help page for ?fisher.test says:

simulate.p.value: a logical indicating whether to compute p-values by
          Monte Carlo simulation, **in larger than 2 by 2 tables**.

Emphasis (**) added.  Since you're using a 2x2 table, I'm guessing that
simulate.p.value has no effect ...  R probably should warn you, but oh
well ..

hi all,
Probably I am posted in wrong mailing list. I am getting a problem in
applying Fisher's exact test. I am applying Fisher's exact test as

 ntable<- array(data = c(3, 1, 8,11), dim = c(2,2))
fisher.test(ntable)

now, I have to repeat the same 10000 times and have to report p-values.
Using the arguments simulate.p.value in the command is producing the same
results
test<-fisher.test(ntable,workspace=20000,simulate.p.value=T,B=10000)

what changes I have to made in my model.

regards
Adeela

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