[R] Wilcoxon Rank Sum in R with a multiple testing correction

Tal Galili
Wed, 24 Nov 2010 07:54:56 -0000

For the BH, you can use the command
?p.adjust(..., "BH")

For reading the files in and doing the analysis, here is an example:
http://www.r-tutor.com/elementary-statistics/non-parametric-methods/wilcoxon-signed-rank-test

You'd then need to extract all the P values like this:
x <- wilcox.test(... )
i <- 1 # the place to put the relevant P
P.vector[i] <- x$p.value

There are many ways to perform this, it depends on how your data is
structured (which wasn't fully clear to me from your e-mail)...



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On Wed, Nov 24, 2010 at 3:13 AM, selthy <selthy@hotmail.com> wrote:

>
> Hi there,
> I'm a total newbie to R. I'd like to use a Wilcoxon Rank Sum test
to
> compare
> two populations of values. Further, I'd like to do this simultaneously
for
> 114 sets of values. The two populations are C and N. The different sets of
> values have arbitrary names (I'll call them a, b, c etc). The set-up is
as
> follows:
>     a     b     c     d     ....
> C   2
> C   3
> C   5
> C   9
> C   4
> C   5
> .
> N   13
> N   16
> N   18
> .
>
> Can someone please show me how to read the data in, do the test on each set
> (a, b, etc) and then do, for example, a Benjamani and Hochberg correction
> for multiple tests?
>
> That would be great!
> Cheers
>
> --
> View this message in context:
>
http://r.789695.n4.nabble.com/Wilcoxon-Rank-Sum-in-R-with-a-multiple-testing-correction-tp3056557p3056557.html
> Sent from the R help mailing list archive at Nabble.com.
>
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>

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