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.
