Hi [EMAIL PROTECTED] napsal dne 08.11.2007 16:43:14:
> Dear R users, > > suppose I have a matrix of observations for which I calculate all > pair-wise correlations: > > m=matrix(sample(1:100,replace=T),10,10) > w=cor(m,use="pairwise.complete.obs") > > How do I extract only those correlations that are >0.6? > > w[w>0.6] #obviously doesn´t work, It obviusly works but you does not like the output. "w>6" results in logical matrix and your subset just selects appropriate values from w. You has to specify what output do you want especially what you want to do with values which do not fulfill your selection criteria. If eg. you want them to be zero w*(w>.6)*1 will do the trick. if you want them to be NA w[!(w>.6)]<-NA will do it. It is just the matter of what you want as an output. Regards Petr > > and I can´t find a way around it. > > I would very much appreciate any help! > > Best wishes > Christoph > > > (using R 2.5.1 on Windows XP) > > > > > -- > Dr. Christoph Scherber > DNPW, Agroecology > University of Goettingen > Waldweg 26 > D-37073 Goettingen > Germany > > phone +49(0)551 39 8807 > fax +49(0)551 39 8806 > homepage www.gwdg.de/~cscherb1 > > ______________________________________________ > 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. ______________________________________________ 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.
