On Thu, 4 Aug 2005, Matt Crawford wrote:
> I understand that in R, for loops are not used as often as other
> languages, and am trying to learn how to avoid them. I am wondering
> if there is a more efficient way to write a certain piece of code,
> which right now I can only envision as a for loop. I have a data file
> that basically looks like:
> 1,55
> 1,23
> 2,12
> ...
> that defines a matrix. Each row of the data file corresponds to a row
> of the matrix, where each number in the row tells me what column a "1"
> or "-1" should go into. So the first row in the data snippet above
> means that the first row of my matrix needs to have a 1 in the 1st
> column, and a -1 in the 55nd column. (And 0 elsewhere, which is
> already there as I've created the matrix filled with 0s beforehand.)
>
This may be a job for matrix indexes
ii<-1:nrow(rawdata)
X[cbind(ii,rawdata[,1])] <- 1
X[cbind(ii,rawdata[,2])] <- -1
-thomas
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