w[w>.6] seems to work for me. I cut down the size of the matrix for easier visual inspection.
m=matrix(sample(1:20,replace=T),4,5) w=cor(m,use="pairwise.complete.obs") w w[w>.6] perhaps perferabely w[w>0.6 & w!=1] --- Christoph Scherber <[EMAIL PROTECTED]> wrote: > 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, > > 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.
