Message-ID: <087b01ce736b$9e1c1ae0$da5450a0$@tamu.edu>
Date: 2013-06-27T19:22:09Z
From: David L Carlson
Subject: multivariate version of aggregate
In-Reply-To: <51CC75D0.2010605@yahoo.de>
You can pass a matrix to by()
> set.seed(42)
> dat <- data.frame(x=runif(50)*20, y=runif(50)*20,
g=rep(LETTERS[1:2], each=25))
> as.vector(by(dat[,1:2], dat$g, function(x) cor(x)[1,2]))
[1] -0.05643063 0.16465040
-------------------------------------
David L Carlson
Associate Professor of Anthropology
Texas A&M University
College Station, TX 77840-4352
-----Original Message-----
From: r-help-bounces at r-project.org
[mailto:r-help-bounces at r-project.org] On Behalf Of Jannis
Sent: Thursday, June 27, 2013 12:27 PM
To: r-help
Subject: [R] multivariate version of aggregate
Dear List members,
i am seeking a multivariate version of aggregate. I want to compute,
fro
example the correlation between subsets of two vectors. In
aggregate, i
can only supply one vector with indices for subsets. Is there ready
function for this or do i need to program my own?
Cheers
Jannis
______________________________________________
R-help at 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.