Hi Eleni,
Check *"Computing Thousands of Test Statistics Simultaneously in R" *in
http://stat-computing.org/newsletter/v181.pdf
Other alternative could be the multtest package.
HTH
Jorge
On Wed, Mar 5, 2008 at 8:55 AM, Eleni Christodoulou <[EMAIL PROTECTED]>
wrote:
> On Wed, Mar 5, 2008 a
On Wed, Mar 5, 2008 at 2:05 PM, ian white <[EMAIL PROTECTED]> wrote:
> Don't you need to make some allowance for multiple testing? E.g. to get
> a experiment-wise significance level of 0.01 you need
>
> which(p.values < very small number)
>
> where the very small number is approximately 0.01/(tota
I am sorry, the test is unpaired...But my question remains
Thanks,
Eleni
On Wed, Mar 5, 2008 at 2:33 PM, Eleni Christodoulou <[EMAIL PROTECTED]>
wrote:
> Hello list,
>
> I am trying to apply the paired t.test between diseased and not diseased
> patients to identify genes that are more expressed
Hello list,
I am trying to apply the paired t.test between diseased and not diseased
patients to identify genes that are more expressed in the one situation
under the other. In order to retrieve the genes that are more expressed in
the positive disease state I do:
p.values<-c()
for(i in 1:length(S
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