>From ?cor() ## Two simple vectors cor(1:10,2:11)# == 1 ## Correlation Matrix of Multivariate sample: (Cl <- cor(longley)) ## Graphical Correlation Matrix: symnum(Cl) # highly correlated ## Spearman's rho and Kendall's tau symnum(clS <- cor(longley, method = "spearman")) symnum(clK <- cor(longley, method = "kendall")) ## How much do they differ? i <- lower.tri(Cl) cor(cbind(P = Cl[i], S = clS[i], K = clK[i]))
I got the idea from the above sample code. cor(cbind(P = Cl[i], S = clS[i], K = clK[i])) This result is interpreted as "How correlated are the three correlation matrices," correct? They values from this are >.9 indicating high correlation. But if instead of comparing matrices of methods of correlation, I was comparing corr. matrices of different treatments, then the results would allow me to discover: "How correlated are the treatments," correct? I hope this made my question clearer. Thanks, Michael On Thu, Oct 9, 2008 at 8:35 AM, John Kane <[EMAIL PROTECTED]> wrote: > Please provide a small working example. It is difficult to see what you are > doing from the description below. > > > --- On Thu, 10/9/08, Michael Just <[EMAIL PROTECTED]> wrote: > > > From: Michael Just <[EMAIL PROTECTED]> > > Subject: [R] Interpretation in cor() > > To: "r-help" <r-help@r-project.org> > > Received: Thursday, October 9, 2008, 5:28 AM > > Hello, > > > > I am performing cor() of some of my data. For example, > > I'll do 3 corr() > > (many variables) operations, one for each of the three > > treatments. > > > > I then do the following: > > > > i <-lower.tri(treatment1.cor) > > cor(cbind(one = treatment1.corr[i], two = > > treatment2.corr[i], three = > > treatment3.corr[i])) > > > > Does this operation above tell me how correlated each of > > the three > > treatments is? Because this how I am interpreting it. > > > > Thanks, > > Michael Just > > > > [[alternative HTML version deleted]] > > > > ______________________________________________ > > 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. > > > __________________________________________________________________ > Yahoo! Canada Toolbar: Search from anywhere on the web, and bookmark your > favourite sites. Download it now at > http://ca.toolbar.yahoo.com. > [[alternative HTML version deleted]] ______________________________________________ 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.
