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
T ++49/40/42803-8243
F ++49/40/42803-7790
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