On 13-Apr-11 17:40:53, Jim Silverton wrote: > I have a matrix say, > > 1 4 > 23 30 > > and I want to find the previously attainable fisher's exact test > p-value. Is there a way to do this in R? > -- > Thanks, > Jim.
I do not understand what you mean by "previously attainable". As far as that particular matrix is concerned, the fisher.test() function will yield its exact Fisher P-value: M <- matrix(c(1, 4, 23, 30), byrow=TRUE, nrow=2) M # [,1] [,2] # [1,] 1 4 # [2,] 23 30 fisher.test(M) # Fisher's Exact Test for Count Data # data: M # p-value = 0.3918 # alternative hypothesis: true odds ratio is not equal to 1 # 95 percent confidence interval: # 0.006355278 3.653391412 # sample estimates: # odds ratio # 0.3316483 So the P-value is 0.3918 (as attained now, and as attainable at any time previously if you had done the above ... !). Ted. -------------------------------------------------------------------- E-Mail: (Ted Harding) <ted.hard...@wlandres.net> Fax-to-email: +44 (0)870 094 0861 Date: 14-Apr-11 Time: 00:28:59 ------------------------------ XFMail ------------------------------ ______________________________________________ R-help@r-project.org mailing list 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.