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

Can any valid SEXP expression be given in the setSEXP command? I tried to send a numeric matrix by including the dim attribute with the data, but get an error code 68 (some parameters are invalid). Is the dim attribute not supported by setSEXP? If so, does this mean a matrix should be sent as a list, then a dim command sent in a second step?

===== Summary ===== Version 0.8.0 of the Rcpp package was released to CRAN today. This release marks another milestone in the ongoing redesign of the package, and underlying C++ library. ===== Overview ===== Rcpp is an R package and C++ library that facilitates integration of C++ code in R packages. The package features a set of C++ classes (Rcpp::IntegerVector, Rcpp::Function,