Hi,
In this case, str() would help you a lot too to understand the structure
of your ft object, and especially which element contains what.
Ivan
Le 9/20/2010 04:59, Michael Bedward a écrit :
> A good function to know about is names(). For example...
>
> ft<- fisher.test( my.data )
> names(ft)
A good function to know about is names(). For example...
ft <- fisher.test( my.data )
names(ft)
Produces the following listing...
[1] "p.value" "conf.int""estimate""null.value"
"alternative" "method" "data.name"
You can then access any of those attributes with the "$" operator
Great! I'm loving this forum. I'm slowly teaching myself the basics of R, but
in the meantime this is saving me a lot of time in the data analysis phase
(I'm a molecular biologist). Thanks again!
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Hi Luke,
Easy-peasy... If you have...
result <- fisher.test( some_data )
Then you can get the probability with...
result$p.value
So in your case just modify the apply statement in the previous post to...
pvalues <- apply( x, 1, function(xrow) fisher.test( matrix(xrow,
nrow=2) )$p.value )
Mi
Hi Michael,
I have another simple question which I'm sure you could help me with. How do
I extract only the p values from "result" (i.e. all of the p values from the
i tests, preferably in a single column of data)? I've read over the
fisher.test help
(http://127.0.0.1:16311/library/stats/html/fis
Thanks so much! I realise that probably seems very simple to you, but you've
just saved me hours of struggling with syntax and commands I'm not very
familiar with...excellent.
Cheers,
Selthy
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Oops, that should have been result[[1]], not results[[1]]
On 17 September 2010 15:03, Michael Bedward wrote:
> 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
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
Hi there,
I'm a real beginner to R. I have two tables of the following format (~1000
rows in each):
Table 1 (experimental)
Nbp
1064 12312089
856 12312234
Table 2 (control)
846334728908
879 34443290
.
I would like to do Fisher's exact tests comparing each row of th
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