[R] multiple paired t-tests

[Eik Vettorazzi]

so you want to find a needle in a haystack, not an easy task. You should 
account for multiple tests, which is as far as I can see not done in the 
code yet - or you have to accept that you find a bunch of hay which 
accidentally looks pretty much like a needle.
There are some solutions in doing such things for instance finding 
relevant SNPs in microarray data. Maybe your task is quite similar.
Eik


Dan Kortschak schrieb:
> That is a valid point, the number of samples I expect to be different 
> is actually quite small, but it is supportable (or otherwise) by other 
> experimental data.
>
> Unfortunately the question I really want answered is pretty much 
> covered by doing this.
>
> thanks
> Dan
>
>
> On 25/03/2009, at 10:25 AM, Eik Vettorazzi wrote:
>
>> .. and you will end up - in your example- with 60 t-statistics and 
>> p-values (so you do bonforroni adjustment or something like that)?!  
>> Sometimes the question  for "How do I ..." should be read as "What is 
>> the question I *really* want to be answered ...". You may consider 
>> doing some more sophisticated analysis.
>>

-- 
Eik Vettorazzi
Institut für Medizinische Biometrie und Epidemiologie
Universitätsklinikum Hamburg-Eppendorf

Martinistr. 52
20246 Hamburg

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