similar to: Rcpp 0.10.0

Martin, You are making your life way too complicated. There are a number of things I would do differently: 0) Wrong list. Rcpp has its down, rcpp-devel, and I basically do not read this and would have missed this were it not for luck. On 3 December 2017 at 02:06, Martin M?ller Skarbiniks Pedersen wrote: | I have read some web-pages about Rcpp and C++ but it is a bit confusion | for me. 1)

On 3 December 2017 at 20:19, Dirk Eddelbuettel <edd at debian.org> wrote: Hi Dirk, Thanks for your answers. I got a few more questions. > > 0) Wrong list. Rcpp has its down, rcpp-devel, and I basically do not read > this and would have missed this were it not for luck. OK. I did found the rcpp-devel mailing-list. But I though it was a developers of the rcpp-package. So it is ok

https://bugs.r-project.org/bugzilla3/show_bug.cgi?id=16660 Here is the bug, which R.home may generate a path contains a whitespace. this will cause Rcpp failed executing sourceCpp > sourceCpp("b:/2018-12-14/src/18020/MCMC.cpp") Error in system(cmd, intern = !showOutput) : 'D:/Program' not found Error in system(cmd, ignore.stderr = TRUE, intern = TRUE) :

Dear all, I am trying to use Rcpp to write some files in C++ for use in R. Below is an example for a cpp-file (crossp.cpp). Then I use >sourceCpp("crossp.cpp") in R and the corresponding function is availabe in R. Now I have to question related to this worklfow: 1) Is there a way to see the source file of the "final" cpp-file? (I mean is it possible to see how the

I would go to the source, in this case Dirk Eddelbuettel's (I hope I spelled it correctly) documentation for Rcpp: http://dirk.eddelbuettel.com/code/rcpp/Rcpp-attributes.pdf Note that you need to do sourceCpp("logistic_map.cpp") in R instead of building and dyn.load()-ing the object. HTH, Peter On Sun, Dec 3, 2017 at 11:04 AM, Martin M?ller Skarbiniks Pedersen <traxplayer

R's dyn.unload() will unconditionally unload the given shared object; it does not check whether there is any object (external pointer or weak reference) with a C finalizer pointing into the space of the shared object being unloaded. So it is expected that R will segfault later when such finalizer is run. Currently there is no other way than to handle this on the side of the shared

Hi all, I'm not sure if I'm not supposed to do the following (the dyn.unload part, I mean) or this could be a bug (in R or Rcpp): ``` Rcpp::sourceCpp(code=' #include <Rcpp.h> class Object {}; //[[Rcpp::export]] SEXP new_object() { return Rcpp::XPtr<Object>(new Object()); }' ) new_object() dyn.unload(list.files(tempdir(), ".(so|dll)$",

===== Summary ===== Version 0.9.0 of the Rcpp package is now on CRAN and its mirrors. This release marks another step in the development of the package, and a few key points are highlighted below. More details are in the NEWS and ChangeLog files included in the package. ===== Overview ===== Rcpp is an R package and associated C++ library that facilitates integration of C++ code in R

===== Summary ===== Version 0.9.0 of the Rcpp package is now on CRAN and its mirrors. This release marks another step in the development of the package, and a few key points are highlighted below. More details are in the NEWS and ChangeLog files included in the package. ===== Overview ===== Rcpp is an R package and associated C++ library that facilitates integration of C++ code in R

Hi, I have written a small C++ function and compile it. However in R I can't see the function I have defined in C++. I have read some web-pages about Rcpp and C++ but it is a bit confusion for me. Anyway, This is the C++-code: #include <Rcpp.h> using namespace Rcpp; // [[Rcpp::export]] List compute_values_cpp(int totalPoints = 1e5, double angle_increment = 0.01, int radius =

Hi R-devel, I'm noticing the following behaviour: writeLines("#include <Rcpp.h>", file = "test.cpp") Rcpp::sourceCpp("~/test.cpp") ## succeeds at trivial compile Sys.setenv("USE_CXX1X" = "yes") Rcpp::sourceCpp("~/test.cpp") ## fails; CXX nor CXX1X properly set (?) IIUC, R is not propagating CXX nor CXX1X when

On 3 December 2017 at 05:23, Eric Berger <ericjberger at gmail.com> wrote: > > Do a search on "Rcpp calling C++ functions from R" > Thanks. However search for "Rcpp calling C++ functions from R" gives a lot of result but I think some of them are outdated and others don't agree with each other. Can you point to a specific good on-line guide for me? Regards

Dear R experts, recently I started developing a Rcpp package "OpenMPTest". Within that package I want to use OpenMP, as in the following code example: // header file #include <omp.h> using namespace Rcpp ; RcppExport SEXP testOpenMP( SEXP nThreads ) ; // cpp file SEXP testOpenMP( SEXP nThreads ) { BEGIN_RCPP NumericVector numberThreads = NumericVector( nThreads );

Hello My colleagues asked me to install "R" with module "shiny". R version 3.0.1 compiled fine on Solaris 10 and is running well. I tried to install "shiny". With the dependencies "Rcpp" should be installed before. But the compile step did fail. See below. The initial error message is "Error in dyn.load(file, DLLpath = DLLpath, ...) :" Before

Hello My colleagues asked me to install "R" with module "shiny". R version 3.0.1 compiled fine on Solaris 10 and is running well. I tried to install "shiny". With the dependencies "Rcpp" should be installed before. But the compile step did fail. See below. The initial error message is "Error in dyn.load(file, DLLpath = DLLpath, ...) :"

This would be easier if base::set.seed() accepted a value of .Random.seed instead of just a scalar integer or, new to R-3.0.0, NULL. If set.seed() returned the previous value of .Random.seed (NULL if there was no previous value) things might be even easier. People should not have to know where .Random.seed is stored. S+'s set.seed() accepts a value of .Random.seed but does not return the

On Tue, Jan 11, 2011 at 2:41 PM, Romain Francois <romain@r-enthusiasts.com>wrote: > Le 11/01/11 19:57, Romain Francois a écrit : > > Le 11/01/11 19:46, Douglas Bates a écrit : >> >>> On Tue, Jan 11, 2011 at 12:27 PM, Dominick >>> Samperi<djsamperi@gmail.com> wrote: >>> >>>> >>>> >>>> On Tue, Jan 11, 2011 at

Hi, in part of my code I need to optimize a function from within Rcpp (I followed the 2nd answer here https://stackoverflow.com/questions/48348079/applying-the-optim-function-in-r-in-c-with-rcpp). However, I found that the function leaks memory (very little, but it compounds if it's a part of repeatedly running simulation). I created a minimal reproducible example, but I have no idea where

Hi, I am a newbie to Rcpp packages, and got problems in having basic set-ups for Rcpp under windows xp. Here is the list I have done. 1) installed Rtools and have no problem in compiling .c file. 2) installed Rcpp packages 3) set enviroment variables 'path' to make C:\Program Files\R\R-2.12.0\library\Rcpp\include\ searchable The sample C++ code I used is from the original website:

New Rcpp versions 0.6.0 and 0.6.1 --------------------------------- The Rcpp package provides C++ classes that greatly facilitate interfacing C or C++ code in R packages using the .Call() interface provided by R. Rcpp provides matching C++ classes for a large number of basic R data types. Hence, a package author can keep his data in normal R data structure without having to worry about