Hello Selthy,
Here's one way. Assume your tables are called x.trt and x.cont
# form a single matrix
x <- cbind(x.trt, x.cont)
colnames(x) <- c("Ntrt", "BPtrt", "Ncon", "BPcon")
result <- apply( x, 1, function(xrow) fisher.test( matrix(xrow, nrow=2) ) )
Now result is a list where element i holds the test results for row i
of your data. E.g. to get the results for row 1..
results[[1]]
Michael
On 17 September 2010 14:04, selthy <sel...@hotmail.com> wrote:
>
> Hi there,
> I'm a real beginner to R. I have two tables of the following format (~1000
> rows in each):
> Table 1 (experimental)
> N bp
> 1064 12312089
> 856 12312234
> ....
>
> Table 2 (control)
> 8463 34728908
> 879 34443290
> .....
>
> I would like to do Fisher's exact tests comparing each row of the tables
> e.g. the test for row 1 would look something like this:
> Experimental Control
> N 1064 8463
> bp 12312089 34728908
>
> How do I either:
> a) Create ~1000 2x2 matrices from each row of the two tables?, or
> b) Use the fisher.test function repeatedly for each row of the two tables?
>
> Thanks for our help!
> Selthy
> --
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>
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