similar to: trouble using R Mathlib as standalone

Displaying 20 results from an estimated 1000 matches similar to: "trouble using R Mathlib as standalone"

2002 Jan 24
2
random number generation issues with r and compiled C code
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
2012 Jan 27
2
The following code (using rgamma) hangs
Hi, I'm seeing something that may be a bug in R's standalone math library, which is packaged by Debian as r-mathlib. I reported it to the Debian BTS as http://bugs.debian.org/657573 I'm using Debian squeeze, and the code was tested with r-mathlib 2.11.1-6 (default on stable) and 2.14.1-1 (from testing/unstable). I summarize this report below. The following code with the R math
2005 Jun 28
1
GetRNGstate() crashes in Windows
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
2003 Dec 14
1
compile error with C code and standalone R math C library
Dear People, I just went back to an old piece of C code. On trying to compile it with the R math standalone C library I got the following error. Can anyone enlighten me what I am doing wrong, if anything? C file (rr-sa.c) follows. I'm on Debian sarge. I'm running R version 1.8.1. Gcc is version 3.3.1. Thanks in advance. Faheem.
2006 Feb 21
4
simple C function segfaults
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,
2006 Mar 07
2
double pointer matrix
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 (
2010 Jun 15
1
Error when callin g C-Code
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;
2004 Mar 03
1
generating normal numbers: GetRNGstate, PutRNGstate
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
2005 Nov 30
1
RNG stuck via Fortran call
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:
2004 Jun 21
2
Cross build Makefile
Hello, I am trying to use Yan and Rossini's Makefile for cross building Windows versions of R packages in Linux with R 1.9.0. When compiling R with the mingw tools I get an error about expm1 being undeclared when first found at src/main/arithmetic.c:1019 If I fiddle a bit with it later on I also get errors about log1p bein undeclared. Any idea what should I look for? I am using R 1.9.0 in
2004 Jun 21
2
Cross build Makefile
Hello, I am trying to use Yan and Rossini's Makefile for cross building Windows versions of R packages in Linux with R 1.9.0. When compiling R with the mingw tools I get an error about expm1 being undeclared when first found at src/main/arithmetic.c:1019 If I fiddle a bit with it later on I also get errors about log1p bein undeclared. Any idea what should I look for? I am using R 1.9.0 in
2009 Jun 30
3
Matrix with random number
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
2005 Jun 14
3
Calling C from Fortran
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
2008 Jul 03
1
GetRNGstate and PutRNGstate
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
2002 Mar 12
1
using R API in dynamically loaded code?
I'm probably missing something very basic here, but: I've written some C code that I load into R dynamically. In the course of this C code, I generate some multinomial random deviates. I initially used the publically available "randlib" library, which also implements its own random number generator and binomial deviates (which are used to generate the multinomial deviates).
2004 Jun 22
1
R mathlib
Hello, dear R experts! I run R on Debian 'sarge' platform. There is 'r-mathlib' package in Debian distribution, which is described as: $ dpkg --status r-mathlib ... This packages provides the libRmath shared and static libraries which can be called from standalone C or C++ code. Well, I use runif() function in test_runif.c: #include <Rmath.h> main() { // ...
2011 Aug 04
1
How to seed the R random number generator in C (standalone) with an instance of .Random.seed
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
2000 Mar 02
1
Mathlib
First of all I would like to join the chorus of approval over the release of R 1.0.0. It really is an excellent piece of software. I'm sure you will astonish us again with Omega. I have a query about Mathlib. It is such a nice collection of functions that it would be nice to use it in other software, not necessarily related to R. Is it possible to build Mathlib separately, and/or install
2004 Jun 27
1
cross-compiling + expm1
Hello all, Just joined this mailing list -- not sure if this is the right list to send this question, but I have a question about cross-compiling R. I am working with R-1.9.1.tgz. It may just be with my version of mingw32, but it seems that expm1 is not defined, so I tried to ensure that HAVE_EXPM1 was #undef'ed before cross-compiling. The problem is that, in <include/Rmath.h> if
2016 Jul 01
1
Calling C implementations of rnorm and friends
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, > > > >