Thank you Christian!
Yes, I am doing exactly that. From previous e-mail archives, I have
discovered that this is the advice that everyone gives.
As, I am on GNU/Linux, it seems (not sure) that it would be somewhat easier
than it is on Windows.
Best Regards,
S.
On Mon, Jan 31, 2011 at 7:22 PM, C
> 2. I have a MCMC simulation (say: foo) which uses several functions (say:
> fun1, fun2). These functions (fun1, fun2) are themselves computation
> intensive and I used Rcpp to speed them. Until now I do something like this:
>
> In R file:
>
> foo <- function (...){
>
> src1 <- paste(readLines(
Thanks again!
On Sun, Jan 30, 2011 at 4:16 PM, Dirk Eddelbuettel wrote:
>
> Howdy,
>
> Thanks for posting here, and the kind words below.
>
> On 30 January 2011 at 15:49, Sunny Srivastava wrote:
> | Dear Rcpp-List:
> |
> | I have been working on speeding my R code. A while ago, I realized that
>
Howdy,
Thanks for posting here, and the kind words below.
On 30 January 2011 at 15:49, Sunny Srivastava wrote:
| Dear Rcpp-List:
|
| I have been working on speeding my R code. A while ago, I realized that no
| further vectorization would help and interacting R with C/C++/.. was
absolutely
| ne
Dear Rcpp-List:
I have been working on speeding my R code. A while ago, I realized that no
further vectorization would help and interacting R with C/C++/.. was
absolutely necessary. I don't program in C/C++ extensively, so the
transition was a difficult process. I tried to use the R API but the er
