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.
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E-Mail: (Ted Harding) <ted.harding at wlandres.net>
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Date: 14-Apr-11 Time: 00:28:59
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