similar to: Problem with rnorm ?

Hi, Has anyone managed to successfully call GetRNGstate() / PutRNGstate() without crashing in a Windows environment (spec. XP)? I've compiled successfully using both the latest Cygwin, latest Mingw, and the version of Mingw suggested in "Building R for Windows" website, but when the executable runs, it crashes; the functions themselves can run when I omit

Hello, I use the simplest of examples that somebody can think of in order to generate a matrix of random numbers from within C, calling appropriate R functions. The concrete example is below: --- file pico.c #include <stdio.h> #include <stdlib.h> #include <math.h> #include <R.h> #include <Rmath.h> #define COLM( i, j, m ) ( m*j + i) void pico ( double *y, int n,

Hello, I'm having some difficulty to understand how I could take the proper result from the following listing: -- cut --- #include <stdlib.h> #include <R.h> #include <Rmath.h> void retMat ( double **y, int *n, int *m, double *a, double *b) { int i, j; y = malloc( (*n) * sizeof( double ) ); for (i=0; i<*n; i++) { y[i] = malloc (

Dear People, I am trying to use R's Math library as standalone, as documented in /src/nmath/standalone. I am using C++ in Debian testing, and the versions are as follows: ii g++-3.0 3.0.3-1 The GNU C++ compiler. ii r-mathlib 1.4.0-1 `GNU S' - Standalone R math library I have a file (rand.cc) as follows. I don't think that lattice.hh or mh.hh are very

Gabriel, Thanks for that! I guess I really should have figured that one out sooner, huh? I understand why that wouldn't be CRAN-compliant. But then, what *is* the proper way to do it? Is there any way I can call unexported functions from another package and have it accepted by CRAN? Also, if I instead re-write the random variable generating functions, do you have any idea of where the

I would like to call C routines from Fortran under linux as suggested in section 5.6 of the "Writing R extensions" documentation. I'm familiar with Fortran but not with C. I understand the example provided in Fortran: subroutine testit() double precision normrnd, x call rndstart() x = normrnd() call dblepr("X was", 5, x, 1) call rndend() end but I don't understand

Hello, all, I have the same question as the last mail I sent. I have installed libRmath in my system. But I still can not link Rmath through -lRmath. The whole process is as follow.Is there anybody who is so kind to help me find out the problem? I will appreciate very much. [credsim at confsys ~]$ cd /usr/lib [credsim at confsys lib]$ ls -l libR* -rw------- 1 bcdesai bcdesai 237828 Apr

Hi when I call the function below in R, i get the error: Object 'pairlist' can't be converted to 'double'. #include <R.h> #include <Rdefines.h> #include <Rmath.h> SEXP CSimPoisson(SEXP lambda, SEXP tgrid, SEXP T2M, SEXP Ni, SEXP NT) { double sign, EVar; double *xlambda, *xtgrid, *xT2M, *xNi, *xNT, *xtau; SEXP tau; int ltgrid =0; int i = 0; int j = 0;

Dear People, I have been writing a simulation routine that is currently entirely written in c++. I've been using the R standalone math library to give me random number generation for this. However, I have had to set the seed myself, and I am using set_seed(time(NULL), clock) for every call to unif_rand(). However, this works really badly. The random numbers aren't uniform at all. Does

Hi I'd like to generate thousands of normal numbers from my C function using the C API functions provided R. I have two options: 1. double norm_rand(); (page 61 of R extension 1.8.1) 2. double rnorm(double mu, double sigma); (page 58 of R extension 1.8.1) If my understanding of R-exts is correct, then I only need to call GetRNGstate once, and then call 1000 norm_rand, and then call

Well, For this particular use case why not just transform the parameters at the R level and then call the existing function? Is there not a closed form mapping? ~G On Jul 1, 2016 2:50 PM, "Joshua Ulrich" <josh.m.ulrich at gmail.com> wrote: > On Fri, Jul 1, 2016 at 6:13 AM, Luis Usier > <luis.henrique.usier at gmail.com> wrote: > > Gabriel, > > > >

Having not much success with my previous question I try to reformulate it: I'm simulating a Markow chain in Fortran interfaced with R. Each loop of my Fortran calls various functions of the R RNG through the wrapper given below. In a run of 100 iterations of the Markov kernel, after 20 iterations, the RNG seems like frozen. For example, the first call to the RNG in my loop is:

Hello, I forgot to tell you that I am using Linux OS. And I can?t find directory "src/nmath/standalone". I will send you the test code I am using and the whole operation process. [credsim at confsys ~/src]$ gcc test1.c -o test1 -lRmath test1.c: In function `main': test1.c:18: warning: assignment makes pointer from integer without a cast test1.c:19: warning: assignment makes

Hi, I've got a simulation function, written in C and called from R, that uses the R random number functions. It's not a very complicated simulation - 280 lines total, with the main function (the one called with .C) repeatedly calling another function, with multiple calls to unif_rand() in both functions. At the beginning of the main function I call GetRNGstate(), and the last thing I do

Dear Listers, I am trying to use "rbinom" in my C code, but i always get zeros as output no matter the probability. Am not sure what I am doing wrong because the function has worked before. Attached in an example. Noticed that "rbinom" expects 'n' to be REAL. Regards, Vumani R 2.3.1 (2006-06-01) Windows XP Gcc /* Called this file binom.c and then ran rcmd shlib on it

Hello! I have a program in Fortran and would like to build a matrix with random numbers, I have a function in C. However, I have problems with the use of function in R. Code to compile: R CMD SHLIB mat.f myrbeta.c -o func.so Code in C. #include <R.h> #include <Rmath.h> void F77_SUB(fseedi)(void){   GetRNGstate(); } void F77_SUB(fseedo)(void){   PutRNGstate(); } void

Hi, I've been trying to get this working for ages, but it causes R to hang. Here is my C code saved as test1.c # include <R.h> # include <Rmath.h> void test1 (double *x, double *result) { result[0] = rgamma(*x, 2.0); } This was compiled using R CMD SHLIB test1.c & loaded in R using: dyn.load("test1.dll") out <-

Hello. I've been working on my OCaml-R binding, and I quite pleased to see that it is functional, though far from being perfect or polished. You can find the gitweb webpage and the interface documentation at http://yziquel.homelinux.org/gitweb/?p=ocaml-r.git;a=tree http://yziquel.homelinux.org/topos/api/ocaml-r/index.html I'm having unexpected trouble with the math library, though.

hello all, I use the R standalone math library in my own C program, and the default R random number generator can be seeded with set_seed(const unsigned int, const unsigned int). How could I seed the RNG with an instance of .Random.seed ? I would need this or a similar workaround for debugging purposes. More precisely, I use the default R random number generator to sample from various

Linking my VC++ application with the standalone Rmath library yields the following; ------ Build started: Project: Complex plugin, Configuration: Debug Win32 ------ Linking... Creating library .\../Debug/complex_plugin.lib and object .\../Debug/complex_plugin.exp libRmath.a(mlutils.o) : warning LNK4217: locally defined symbol __iob imported in function _REprintf libRmath.a(dbeta.o) :