On 3 June 2013 at 19:31, Andreas Prescher wrote:
| Hello,
|
| Any help would be greatly
| appreciated
|
| I am trying to use the example
| testmod package by using:
|
| Rcpp.package.skeleton( "testmod", module = TRUE )
| and:
| R CMD INSTALL testmod
|
| system information:
| R version 3.0
This might be a documentation issue on our side, but you don't need to
call Module. The code that is generated loads the module directly when
teh package is loaded:
> require( testmod )
Le chargement a nécessité le package : testmod
Le chargement a nécessité le package : Rcpp
> hello()
Erreur :
Hello,
Any help would be greatly
appreciated
I am trying to use the example
testmod package by using:
Rcpp.package.skeleton( "testmod", module = TRUE )
and:
R CMD INSTALL testmod
system information:
R version 3.0.1 (2013-05-16)
Platform: x86_64-pc-linux-gnu (64-bit),
ubuntu 12.04 LTS
/usr
Dear Dirk, Simon and Rcpp Experts.
This is a message following up the thread about using OpenMP
directives with Rcpp to construct probability matrices in parallel.
I send it again to properly close this thread (for now…)
I followed Dirk's hint and implemented the parallel matrix generation
using
Hi Asis,
parallel computing is a very delicate task in programming,
which depends on one side on your hardware architecture
and on the other side on your commands in your software.
1. If a sequential code is faster than the parallel code,
check if something is differently programmed or, if a
On 3 June 2013 at 14:35, Asis Hallab wrote:
| Dear Rcpp Experts,
|
| two simple and short questions:
|
| Do I always have to use SEXP arguments, if I want the method to be
| callable from R through the .Call( … ) function?
Yes. There is only one interface: .Call(), returning SEXP and taking zer
Dear Rcpp Experts,
two simple and short questions:
Do I always have to use SEXP arguments, if I want the method to be
callable from R through the .Call( … ) function?
Does the return type have to be a SEXP, too, or can I use any Rcpp
class instead?
Kind regards!
Dear Dirk, Simon and Rcpp Experts.
This is a message following up the thread about using OpenMP
directives with Rcpp to construct probability matrices in parallel.
I followed Dirk's hint and implemented the parallel matrix generation
using just C++'s STL and the "#pragma omp parallel for" for the
