Thanks, Greg. Yes, I'd store the compressed stuff as a raw data type.
Best,
R.
On Thu, Feb 28, 2008 at 11:54 PM, Gregory Warnes <[EMAIL PROTECTED]> wrote:
>
> You might look at storing the data using R's "raw" data type...
>
> -G
>
>
>
>
> On Feb 28, 2008, at 5:38PM , Ramon Diaz-Uriarte wrote
You might look at storing the data using R's "raw" data type...
-G
On Feb 28, 2008, at 5:38PM , Ramon Diaz-Uriarte wrote:
> Dear Christos,
>
> Thanks for your reply. Actually, I should have been more careful with
> language: its not really a sparse matrix, but rather a ragged array
> that resu
Dear Prof. Ripley,
Thanks a lot. I've just looked at Rcompression and it seems to do
exactly what I need, though it requires having zlib and bzip2
installed (and I am not sure if this will deter some windows users).
I'll also check connections.c, which might be a way to go, or else
wait for the re
Dear Christos,
Thanks for your reply. Actually, I should have been more careful with
language: its not really a sparse matrix, but rather a ragged array
that results from a more compact representation we though of for the
hidden states in a Hidden Markov Model in many runs of MCMC. However,
it mig
One solution is likely to be the Omegahat package Rcompression.
Otherwise, R does have internal facilities to do internal (gzip)
compression and decompression (e.g. see the end of
src/main/connections.c), and you could make creative use of serialization
to do the compression.
On Thu, 28 Feb 20
Ramon,
If you are looking for a solution to your specific application (as opposed
to a general compression/ decompression mechanism), it might be worth
checking out the Matrix package, which has facilities for storing and
manipulating sparse matrices. The sparseMatrix class stores matrices in the
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