On 24 Apr 2014, at 23:56, Greg Snow <[email protected]> wrote:
> library(Matrix)
>
> adjM <- Matrix(0,nrow=10,ncol=10)
>
> locs <- cbind( sample(1:10), sample(1:10) )
> vals <- rnorm(10)
>
> adjM[ locs ] <- vals
... and once you've got your data in this format, why not construct the sparse
matrix directly?
adjM <- sparseMatrix(i = locs[,1], j = locs[,2], x = vals)
I've found this to be very efficient and have used it with sparse matrices
containing up to around 100 million nonzero entries.
Hope this helps,
Stefan
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