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
Simulations in Fisher's Exact test
2 messages · Adeela Munawar, Ben Bolker
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 ..
On 2018-10-28 7:47 a.m., Adeela Munawar wrote:
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 [[alternative HTML version deleted]]
_______________________________________________ R-sig-mixed-models at r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-sig-mixed-models