On 4 May 2012 at 22:31, andre zege wrote:
| Simon, thanks for your comment. I guess there is no problem, i am
| apparently being lazy/busy and wondered if there is ready code that does
| it. You are right, i suppose -- i'll look at the c++ code for bigmatrix and
| will try to hack a solution.
> Y
On 4 May 2012 at 22:31, andre zege wrote:
| Simon, thanks for your comment. I guess there is no problem, i am
| apparently being lazy/busy and wondered if there is ready code that does
| it. You are right, i suppose -- i'll look at the c++ code for bigmatrix and
| will try to hack a solution.
Yo
>
> bigmemory matrices are simply arrays of native types (typically doubles,
> but bm supports other types, too) so they are trivially readable/writable
> from both C++ (just read into memory and cast to the array type) and Java
> (e.g, DoubleBuffer view on a ByteBuffer). So the question is what ex
Andre,
On May 4, 2012, at 9:50 PM, andre zege wrote:
> I work with problems that have rather large data requirements -- typically
> a bunch of multigig arrays. Given how generous R is with using memory, the
> only way for me to work with R has been to use bigmatrices from bigmemory
> package. One
I work with problems that have rather large data requirements -- typically
a bunch of multigig arrays. Given how generous R is with using memory, the
only way for me to work with R has been to use bigmatrices from bigmemory
package. One thing that is missing a bit is interoperability of bigmatrices
