Hello Gerrit,
Thanks. Your proposal works in general, but I get memory allocation
errors with my actual 57,000 x 14,000 matrix.
The fix which I now use is to scale the data before I build the matrix;
see below.
Cheers,
Dirk
## Code Start -
library(parallel)
rows
Hello, Dirk,
maybe I'm missing something, but to avoid your for-loop-approach doesn't
M <- M/Matrix::rowSums(M)
do what you want?
Hth -- Gerrit
-
Dr. Gerrit Eichner Mathematical Institute, Room 212
gerrit
> On 13 Jan 2016, at 02:50, tomdhar...@gmail.com wrote:
>
> So my question is: How can the rows of a large sparse matrix be
> efficiently scaled?
If you're not picky about the particular storage format, the "wordspace" package
http://wordspace.r-forge.r-project.org/
has an efficient sc
Hello R-Users,
I'm looking for a way to scale the rows of a sparse matrix M with about
57,000 rows, 14,000 columns, and 238,000 non-zero matrix elements; see
example code below.
Usually I'd use the base::scale() function (see sample code), but it
freezes my computer. The same happens when I try t
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