Message-ID: <838114237.2288455.1342227138082.JavaMail.root@neo.tamu.edu>
Date: 2012-07-14T00:52:18Z
From: David L Carlson
Subject: integrating multi-dimensional dat along one dimension
In-Reply-To: <39B5ED61E7BFC24FA8277B6DE92A9A3F0494E325@fkimlki01.enterprise.afmc.ds.af.mil>
set.seed(42)
d <- array(as.integer(round(runif(125)*10, 0)), dim=c(5, 5, 5))
data_int <- apply(d, c(1,2), sum)
-------------------------------------
David L Carlson
Associate Professor of Anthropology
Texas A&M University
College Station, TX 77840-4352
----- Original Message -----
From: "Sam B Civ USAF AFMC AFRL Cable/RVBXI" <Sam.Cable at kirtland.af.mil>
To: r-help at r-project.org
Sent: Friday, July 13, 2012 4:11:28 PM
Subject: [R] integrating multi-dimensional dat along one dimension
I just want to integrate a 3D data set along one dimension to obtain a
2D data set. Something like:
(given array "d" with dim nx,ny,nz ...)
data_int<-array(dim=c(nx,ny))
for (n in 1:ny) {
for (m in 1:nx) {
data_int[m,n]<-sum(d[m,n,])
}
}
The thing is, given R's facility with integers, it seems that I should
be able to obtain data_int without the explicit for-loops, but I haven't
been able to figure out how to do it. Anyone know how? Thanks.
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