[BioC] Simple minfi question

[Kasper Daniel Hansen]

If you have two groups, doing an F test is equivalent to doing a
t-test.  If you have more than two groups and want to test if they are
all the same, you need to do an F-test.  You can think of the F-test
as a generalization of the t-test.  A more detailed answer is surely
out of the scope of this email list.

Kasper

On Wed, Sep 19, 2012 at 5:23 AM, Gustavo Fernández Bayón
<gbayon at gmail.com> wrote:
> Hi everybody.
>
> I have been playing a little bit with the minfi package, using some 450k data we have received. I have seen that dmpFinder function uses a F-test when looking for differentially methylated positions (when type is 'categorical').
>
> Until now, as a newbie, I have been usually searching for these DMP's with t-tests and posterior multiple testing corrections. I have been looking for info but, as always, my lack of statistics knowledge is becoming a major handicap.
>
> Question is, why F-test instead of t-test? Are both methods valid? Or is there a specific reason for this preference?
>
> By the way, my congratulations to Kasper Daniel Hansen and Martin Aryee for their amazing work. I have several projects coming with 450k data, and minfi will surely be of great help.
>
> Regards,
> Gustavo
>
>
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