similar to: Using .Call function to do matrix calculation

Hi, I work with SEXP C code and with xts and quantmod packages. I try to touch how xts internal works. So we have R session and: > ls() character(0) > getSymbols('AAPL') # quantmod package [1] "AAPL" > ls() [1] "AAPL" > str(AAPL) An ?xts? object from 2007-01-03 to 2010-09-09 containing: Data: num [1:929, 1:6] 86.3 84 85.8 86 86.5 ... - attr(*,

Hi all I recently started to write a matrix exponentiation operator for R (by adding a new operator definition to names.c, and adding the following code to arrays.c). It is not finished yet, but I would like to solicit some comments, as there are a few areas of R's internals that I am still feeling my way around. Firstly: 1) Would there be interest in adding a new operator %^% that performs

Hi I'm trying to develop some C code to find the fixpoint of a contraction mapping, the code compiles and gives the right results when executed in R. However R-gui session is frequently terminated. I'm suspecting some access violation error due to the exception code 0xc0000005 In the error report windows 10 gives me. It is the first time I'm writing any C-code so I'm guessing I

Hi, I am not sure if this is a bug and I apologize if it is something I didn't read carefully in the R extension manual. My initial search on the R help and R devel list archive didn't find useful information. I am using .Call (as written in the R extension manual) for the C code and have found that the .Call didn't release the memory claimed by allocVector. Even after applying

Hi, I am not sure if this is a bug and I apologize if it is something I didn't read carefully in the R extension manual. My initial search on the R help and R devel list archive didn't find useful information. I am using .Call (as written in the R extension manual) for the C code and have found that the .Call didn't release the memory claimed by allocVector. Even after applying

It's tough to reliably reproduce, but I often get stack imbalance warnings when calling max.col() on non-real/double matrix. The code is conditionally PROTECTing but not incrementing its nprot counter for the eventual UNPROTECT. Pretty sure this would fix (but I haven't tested it): Index: array.c =================================================================== --- array.c (revision

Dear mailing list, I have a C function that gives me a wrong result when I run it under Windows 7. This is the code under Linux (RHEL5): > library(phenoTest) > data(epheno) > sign <- sample(featureNames(epheno))[1:20] > score <- getFc(epheno)[,1] > head(score) 1007_s_at 1053_at 117_at 121_at 1255_g_at 1294_at -1.183019 1.113544 1.186186 -1.034779 -1.044456

Hi R-Users I wrote 1 week ago asking about a message that appears when I try run dyn.load. I'm trying to do an example in C code from "Writing R Extension" to learn how to do it. I have R 2.0.0, Rtools, Perl and MinGW as describe in http://www.murdoch-sutherland.com/Rtools/ with path sets. When I use C:\R\rw2000\bin>RCMD SHLIB -o C:/dev-cpp/teste.dll

Dear R experts! I want to evaluate expressions from within C code. For instance, I want this code: /* ============ -- C code -- ============== */ #include <R.h> #include <Rinternals.h> SEXP foo(SEXP expr, SEXP rho) { SEXP x; PROTECT(x = allocVector(REALSXP, 1)); REAL(x)[0] = 1; UNPROTECT(1); return

Hi all, im triyng to implement a bayesian model with R and c++. I have a strange problem. I can't reproduce the error with a small script and then i post the original one. The problem is after the line for(MCMC_iter2=0;MCMC_iter2<thin;MCMC_iter2++) For the first 34 iterations all work fine, after, all the simulations of mu_acc_P return an "nan". If i delete the line

Hi! I am studying C language to run with R 2.0.0. My system (Windows ME /BR) is configured to run RCMD ( I have installed ActivePerl, Rtools and MinGW as indicated in http://www.murdoch-sutherland.com/Rtools/ an with correct path). I would like run the coded write below named conv.c (Example from "Write R Extension") : #include <R.h> #include <Rinternals.h>

I've been trying to learn about dynamically loading subroutines in R. Ultimately I would like to use this approach to implement some simulations. For the moment though, I've run into a problem compiling c++ code and loading it into R. The 'C/C++' and 'R'code below works fine when compiled and linked with gcc, but gives an error when the library is compiled and linked with

Dear R users, I would like to use several R functions from a C-code and I have read the "Introduction to the .C Interface to R". Unfortunately, my shared library with the C-code works only in cases where I use R-routines that are defined Rmath.h, eg. ************************************* less test.c: #include <R.h> #include <Rinternals.h> #include <Rmath.h> void

Hello, I've been writing a program in C that will be called by R. I seem to have stumbled upon an odd error that seems to suggest there is a limit on the number of times "Realloc" (the R version as defined in the manual "R-extenstions" not the C version "realloc") when I try to use the following program: #include <R.h> #include <Rinternals.h> SEXP

Dear all, [system and version information below] I am trying to modify a C function for finding the root of an expression. The function is to be called from R as .Call with input parameters: f: expression for which we will find the root guesses: interval for the solution stol: tolerance rho: environment The original functions I use are: SEXP mkans(double x) { SEXP ans; PROTECT(ans =

Dear all, [system and version information below] I am trying to modify a C function for finding the root of an expression. The function is to be called from R as .Call with input parameters: f: expression for which we will find the root guesses: interval for the solution stol: tolerance rho: environment The original functions I use are: SEXP mkans(double x) { SEXP ans; PROTECT(ans =

Hi, I was wondering if I could use the matprod function from array.c in my own C routine. I tried the following as a test /* my_matprod.c */ # include <Rinternals.h> /* for REAL, SEXP etc */ # include <R_ext/Applic.h> /* array.c says need for dgemm */ /* following copied from array.c */ static void matprod(double *x, int nrx, int ncx, double *y, int nry, int ncy, double *z)

Further pursuing my curiosity to measure the efficiency of R/C++ interface, I conducted a simple matrix-vector multiplication test using .C and .Call functions in R. In each case, I measured the execution time in R, as well as inside the C++ function. Subtracting the two, I came up with a measure of overhead associated with each call. I assume that this overhead would be non-existent of the entire

Hello: I am looking at "Writing R Extensions", subsection 3.6.4, using R 1.1.0, under NT4.0, with VC++ 6.0. Under these conditions I can use the first method given for coding the out() function, but not the second, which uses getAttrib() and setAttrib(). I hope that someone will tell me how this second method can also be made to work. Details follow, for anyone kind enough to help.

Dear R-helpers, I'm trying to transfer a loop from R code to C to improve performance using the .Call interface. However, I ran into problems before even getting started, and I hope (fear) I'm missing something completely obvious here. I use the following C function (passing an integer to the C function and printing it): #include <R.h> #include <Rinternals.h> SEXP