Hi Kasper. Thank you for your answer. It is more than enough. I wanted just to be sure about what I was doing. Regards, Gus --------------------------- Enviado con Sparrow (http://www.sparrowmailapp.com/?sig) El mi?rcoles 19 de septiembre de 2012 a las 15:50, Kasper Daniel Hansen escribi?: > 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 Fern?ndez Bay?n > <gbayon at="" gmail.com="" (mailto: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 > > > > > > --------------------------- > > Enviado con Sparrow (http://www.sparrowmailapp.com/?sig) > > > > _______________________________________________ > > Bioconductor mailing list > > Bioconductor at r-project.org (mailto:Bioconductor at r-project.org) > > https://stat.ethz.ch/mailman/listinfo/bioconductor > > Search the archives: http://news.gmane.org/gmane.science.biology.informatics.conductor >