Thanks a lot for the suggestions, Jorge and Satoshi Takahama! Both approaches work well...
Gang On Tue, Jan 6, 2009 at 2:12 PM, Satoshi Takahama <s.takah...@yahoo.com> wrote: > Perhaps you can convert your matrices to data frames as in: > > mapply(t.test,as.data.frame(myData1),as.data.frame(myData2)) > to test by column and > > mapply(t.test,as.data.frame(t(myData1)),as.data.frame(t(myData2))) > > > to test by row? > > > ----- Original Message ---- > From: Gang Chen <gangch...@gmail.com> > To: Henrique Dallazuanna <www...@gmail.com> > Cc: r-h...@stat.math.ethz.ch > Sent: Tuesday, January 6, 2009 10:10:44 AM > Subject: Re: [R] Using apply for two datasets > > Thanks a lot for the quick help! > > mapply() seems promising. However, mapply(t.test, myData1, myData2) > would not work, so how can I specify the margin in mapply() which > function t.test() will be applied over? For example, I specify the 2nd > dimension (column) in apply(myData1, 2, t.test) to run one-sample > t-test. Is there a way I can achieve the same with mapply()? > > Thanks again, > Gang > > > On Tue, Jan 6, 2009 at 12:34 PM, Henrique Dallazuanna <www...@gmail.com> > wrote: >> I think that you can use mapply for this. >> >> On Tue, Jan 6, 2009 at 3:24 PM, Gang Chen <gangch...@gmail.com> wrote: >>> >>> I can run one-sample t-test on an array, for example a matrix myData1, >>> with the following >>> >>> apply(myData1, 2, t.test) >>> >>> Is there a similar fashion using apply() or something else to run >>> 2-sample t-test with datasets from two groups, myData1 and myData2, >>> without looping? >>> >>> TIA, >>> Gang ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.