similar to: Rcpp segmentation faults on the simplest code

I am running into a wall getting my system to work with rcpp and inline. Following Dirk's advice on stackoverflow, I hope someone is able to help me. My steps were to install MinGW 32 bit first, then installing Rtools, I disabled MinGW's entry in the PATH. I am trying to get the following code to work: library(Rcpp) library(inline) body <- ' NumericVector xx(x); return wrap(

Dear R-Developers, I just started learning how to use Rcpp. Earlier while using it, I encountered an error as shown below: file74d8254b96d4.cpp: In function ‘Rcpp::NumericVector foo(Rcpp::NumericVector, Rcpp::NumericVector, Rcpp::NumericVector, Rcpp::Function, Rcpp::Function)’: file74d8254b96d4.cpp:10: error: invalid operands of types ‘SEXPREC*’ and ‘R_len_t’ to binary ‘operator/’ make: ***

Hi all, I am using c++ functions in R by Rcpp and inline packages. The code is quite simple, but the R session always automatically crash after some running time. Does anyone here familiar with Rcpp and inline? What¡¯s the problem in the following code? I have checked the input values, no NA and other strange value exists. Thank you for your attention! > mkc <- cxxfunction(

Hi all, I am using c++ functions in R by Rcpp and inline packages. The code is quite simple, but the R session always automatically crash after some running time. Does anyone here familiar with Rcpp and inline? What¡¯s the problem in the following code? I have checked the input values, no NA and other strange value exists. Thank you for your attention! > mkc <- cxxfunction(

Hi. Here is a piece of cpp code. It works, but I do not understand the rational for the use of "R::dpois" to call the function dpois since in the examples I have always found directly "dpois" or "Rcpp::dpois" that both do not work in my code. Could anyone be so patient to explain me why should it be like that? Thaks a lot, Enrico #include <Rcpp.h> using

Hi, Im not sure if this is the right place to post this. I am using Xubuntu Karmic Koala and am trying to use the Rcpp package. I am testing it using a simple code that takes in a vector and adds 1 to each element: #include <Rcpp.h> // This file takes in a vector and adds one to each entry RcppExport SEXP addone(SEXP vec){ // create a local copy of vec Rcpp::NumericVector

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:

Hello all, I've been working on a package to do various things related to the Conway-Maxwell-Poisson distribution and wanted to be able to make fast random draws from the distribution. My R code was running quite slow so I decided to give Rcpp a bash. I had used it before but only for extremely basic stuff and always using inline. This time I decided to give making a proper package a go.

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 );

.Call("compute_values_cpp") Also, if you were passing arguments to the C++ function you would need to declare the function differently. Do a search on "Rcpp calling C++ functions from R" HTH, Eric On Sun, Dec 3, 2017 at 3:06 AM, Martin M?ller Skarbiniks Pedersen < traxplayer at gmail.com> wrote: > Hi, > > I have written a small C++ function and compile it.

On Thu, Apr 14, 2011 at 7:02 PM, <rcpp-devel-request at r-forge.wu-wien.ac.at> wrote: > I was able to write a very short C++ function using the Rcpp package > that provided about a 1000-fold increase in speed relative to the best > I could do in R. ?I don't have the script on this computer so I will > post it tomorrow when I am back on the computer at the office. > >

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 =

Friends I am looking at Rcpp and I am a bit stuck on a simple matter. (I am calling R from c++, if there is a better way...) Given this simple example using the TTR package and the SMA function which returns a simple moving average.... Rcpp::NumericVector rv; for(int i = 0; i < 100; i++){ rv.push_back(rand()); } Rcpp::Environment TTR("package:TTR");

Hi, everyone, I am just trying to use Rcpp in my computer, and I would like to try a simple example from website, but R keeps reporting me error. I am using Windows XP, and has installed Rtools and GSI. Here is the response: > src = ' + Rcpp::NumericVector xa(a); + Rcpp::NumericVector xb(b); + int n_xa = xa.size(); + int n_xb = xb.size(); + + Rcpp::NumericVector xab(n_xa + n_xb - 1);

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)

===== 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

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

Hi Sri, I haven't really elaborated on it having other stuff to prepare first, but as far as I got you first assign data to a vector: #include <R.h> #include <Rinternals.h> #undef R_INTERFACE_PTRS #include <Rembedded.h> #include "Rcpp.hpp" #include <R_ext/Parse.h> #include <Rinternals.h> #include <Rdefines.h> //assigning a vector SEXP

For using R's .Call interface to C functions, all the examples I've seen have the C function return type SEXP. Why? What does R actually do with this return type? What happens if I *don't* return a SEXP? Reason I ask, is I've written some R code which allocates two long lists, and then calls a C function with .Call. My C code writes to those two pre-allocated lists, thus, I