suppose I have two sets of vectors: x1,x2,...,xN and y1,y2,...,yN. I want N correlations: cor(x1,y1), cor(x2,y2), ..., cor(xN,yN). my sets of vectors are arranged as data frames x & y (vector=column):
x <- data.frame(a=rnorm(10),b=rnorm(10),c=rnorm(10)) y <- data.frame(d=rnorm(10),e=rnorm(10),f=rnorm(10)) cor(x,y) returns a _matrix_ of all pairwise correlations: cor(x,y) d e f a 0.2763696 -0.3523757 -0.373518870 b 0.5892742 -0.1969161 -0.007159589 c 0.3094301 0.1111997 -0.094970748 which is _not_ what I want. I want diag(cor(x,y)) but without the N^2 calculations. thanks. -- Sam Steingold (http://sds.podval.org/) on Ubuntu 11.10 (oneiric) X 11.0.11004000 http://www.childpsy.net/ http://iris.org.il http://americancensorship.org http://dhimmi.com http://www.PetitionOnline.com/tap12009/ http://jihadwatch.org Never argue with an idiot: he has more experience with idiotic arguments. ______________________________________________ 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.