I may be misunderstanding the question but would cor(d1, use='complete.obs') or some other variant of "use" help?
--- On Mon, 8/24/09, Christian Meesters <meest...@imbie.uni-bonn.de> wrote: > From: Christian Meesters <meest...@imbie.uni-bonn.de> > Subject: [R] robust method to obtain a correlation coeff? > To: "r-help@r-project.org Help" <r-help@r-project.org> > Received: Monday, August 24, 2009, 10:47 AM > Hi, > > Being a R-newbie I am wondering how to calculate a > correlation > coefficient (preferably with an associated p-value) for > data like: > > > d[,1] > [1] 25.5 25.3 25.1 NA 23.3 21.5 23.8 23.2 > 24.2 22.7 27.6 24.2 ... > > d[,2] > [1] 0.0 11.1 0.0 NA 0.0 > 10.1 10.6 9.5 0.0 57.9 0.0 0.0 > ... > > Apparently corr(d) from the boot-library fails with NAs in > the data, > also cor.test cannot cope with a different number of NAs. > Is there a > solution to this problem (calculating a correlation > coefficient and > ignoring different number of NAs), e.g. Pearson's corr > coeff? > > If so, please point me to the relevant piece of > documentation. > > TIA > Christian > > ______________________________________________ > 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. > __________________________________________________________________ Be smarter than spam. See how smart SpamGuard is ons in Mail and switch to New Mail today or register for free at http://mail.yahoo.ca ______________________________________________ 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.
