[R] multivariate version of aggregate

[Rui Barradas]

Hello,

Or use ?sapply.

sapply(split(dat[1:2], dat[3]), function(x) cor(x[1], x[2]))


Hope this helps,

Rui Barradas

Em 27-06-2013 20:22, David Carlson escreveu:
> 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.
>
> ______________________________________________
> 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.
>