similar to: Error using Rcpp

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 );

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.

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);

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(

Hi, May be this helps: m1<- as.matrix(read.table(text=" y1 g24 y1 0 1 g24 1 0 ",sep="",header=TRUE)) m2<-as.matrix(read.table(text="y1 c1 c2 l17 ?y1 0 1 1 1 ?c1 1 0 1 1 ?c2 1 1 0 1 ?l17 1 1 1 0",sep="",header=TRUE)) m3<- as.matrix(read.table(text="y1 h4??? s2???? s30 ?y1 0 1 1 1 ?h4 1 0 1 1 ?s2 1 1 0 1 ?s30 1 1 1

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: ***

Hello all, I am in the process of trying to install Shiny Server on a DreamHost VPS. As Shiny Server must be built on Debian, I've been muddling my way through the steps but I have run into a roadblock w/ httpuv. Following these <https://github.com/rstudio/httpuv> instructions, I ran the devtools::install_github('httpuv', 'rstudio') command and received the error pasted

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, 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 all, I'm new to R and Rcpp, and I'm trying to learn Rcpp with the simplest code possible. My goal is to be able to call R functions from C++. The code I'm trying to run is: #include #include #include #include int main(int argc, char* argv[]) { Rcpp::NumericVector v(1); return 0; } It compiles and links fine. However, as soon as I run it, it segfaults. The following is

.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. > >

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");

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

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

On 03/02/2015 04:37 PM, Martin Maechler wrote: > >> On 2 March 2015 at 09:09, Duncan Murdoch wrote: >> | I generally recommend that people use Rcpp, which hides a lot of the >> | details. It will generate your .Call calls for you, and generate the >> | C++ code that receives them; you just need to think about the real >> | problem, not the interface. It has its

On 2 March 2015 at 09:09, Duncan Murdoch wrote: | I generally recommend that people use Rcpp, which hides a lot of the | details. It will generate your .Call calls for you, and generate the | C++ code that receives them; you just need to think about the real | problem, not the interface. It has its own learning curve, but I think | it is easier than using the low-level code that you need to

Hola, necesito compilar un programa de tipo source (Rstan) con c++ La propia web del programa indica como hacerlo con Rcpp. Sin embargo no consigo que funcione Rcpp ni con un ejemplo básico. He seguido las instrucciones que vienen en http://tonybreyal.wordpress.com/2011/12/07/installing-rcpp-on-windows-7-for-r-and-c-integration/ Tengo instalado Rtools y los paths correspondientes, pero no

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