similar to: Pb with defineVar() example in the "Writing R Extensions" manual

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, In section 4.6.7 of "Writing R Extensions" (Version 1.2.1, 2001-01-15) the C function defineVar() is described as "... the equivalent of assign(symbol, value, envir = rho, inherits = FALSE) ..." I interpreted the above (wrongly) as meaning that defineVar() makes a copy of its "value" argument into the object whose name is specified in "symbol" in

I am currently puzzled by a passage in the R Extensions manual, section 5.10: SEXP lapply(SEXP list, SEXP expr, SEXP rho) { R_len_t i, n = length(list); SEXP ans; if(!isNewList(list)) error("`list' must be a list"); if(!isEnvironment(rho)) error("`rho' should be an environment"); PROTECT(ans = allocVector(VECSXP, n));

Dear R-dev, I would like to accelerate my R computation by using parallel OpenMP compilers (e.g from Pathscale) on a 2-processor AMD server and I would like to know whether R is a tread safe library. The main kernel of the OpenMP parallelization is a C SEXP function that performs the computational routine in parallel with: ******************* SEXP example(SEXP list, SEXP expr, SEXP rho) {

Hello, I submit a patch for review that implements code coverage tracing in the R interpreter. It records the lines that are actually executed and their associated frequency for which srcref information is available. I perfectly understands that this patch will not make its way inside R as it is, that they are many concerns of stability, compatibility, maintenance and so on. I would like to have

Hi, I'm trying to access the current R global environment from within C, using R_GlobalEnv. In the example below, Rgui (R 1.7.0. Win2K) crashes when I try to run assignValueToFooInR_GlobalEnv, but not when I run assignValueToFooInRhoEnv with Rho=.GlobalEnv. Can anyone tell me why? [ My motivation is that I want use defineVar to initialise a workingEnvironment (corresponding to Value

Hi Sri, I haven't really elaborated on it having other stuff to prepare first, but as far as I got you first assign data to a vector: #include <R.h> #include <Rinternals.h> #undef R_INTERFACE_PTRS #include <Rembedded.h> #include "Rcpp.hpp" #include <R_ext/Parse.h> #include <Rinternals.h> #include <Rdefines.h> //assigning a vector SEXP

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

I've been inspired to look at the R source code by some strange timing results that I wrote about on my blog at radfordneal.wordpress.com (see the posts on "Speeding up parentheses..." and "Two surprising things...". I discovered that the strange speed advantage of curly brackets over parentheses is partially explained by an inefficiency in the evalList and

I am occasional getting "Segmentation Fault - core dumped" in R 0.62.3 (I think more often then I did in 0.62.2). I have not been able to do this in any reliably reproducible way yet, but thought I would mention the problem in case some else can isolate it. Paul Gilbert -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-devel mailing list -- Read

Hi All, I have a few small questions about the usage of the C findVar( ) function when used in C code called with '.Call'. In my case I create an R function with an argument. This function calls some C code in which I use findVar( ) to retrieve the values from the argument. Ofcourse normally I would just give the values as argument to .Call, but in my project I need to use findVar for

Hi all I don't know if my message are correct in this forums. I create a program in c++ who use statistical function. I want to execute this function in R (in particular for use packages ade4, lattice, bioconductor...) Until now, my program work for simple function ("plot", "rnorm"...) but I can't use library My class are : // in constructor int argc = 1;

When large calls cause errors R may stall for extended periods.? This is particularly likely to happen with `do.call`, as in this example with a 24 second stall: ??? x <- runif(1e7) ??? system.time(do.call(paste0, list(abs, x)))? # intentional error ??? ## Error in (function (..., collapse = NULL)? : ??? ##?? cannot coerce type 'builtin' to vector of type 'character' ??? ##

Hi there I'm loking for a time-measurement to measure time-differences in milliseconds. On my search, I only found the following: - package "base": Sys.time() -> only second-accuracy - package "R.utils": System$currentTimeMillis() -> returns integer of milliseconds, but accuracy is only whole seconds too. At the moment I run every bit of code to measure

I'm a day-old R newbie (but a war-weary S veteran), with couple of first-day questions: In R 0.61, this code fails. Ops.test <- function(e1,e2) { e1 <- NextMethod(.Generic) e1 } x <- 4 class(x) <- "test" y <- x < 3 The error message is "Error in NextMethod(.Generic) : negative length vectors are not allowed.". I assume it is a bug.

Hello, I'm evaluating this expression expression({ for(x in 1:5){ .Call('rh_status','x') }}) a million times from a program with R embedded in it. I have attached reproducible code that crashes with Program received signal SIGSEGV, Segmentation fault. 0x00002b499ca40a6e in R_gc_internal (size_needed=0) at memory.c:1309 1309 FORWARD_NODE(R_PPStack[i]); Current language:

Luke, thanks for considering the issue.? I would like to try to separate the problem into two parts, as I _think_ your comments address primarily part 2 below: 1. How can we avoid significant and possibly crippling ?? stalls on error with these non-standard calls. 2. What is the best way to view these non-standard calls. I agree that issue 2. requires further thought and discussion under a

I was debugging a problem reported to me regarding PL/R, and found that I can duplicate it using only R sources. It might be characterized as possibly a misuse of the findFun() function, but I leave that for the R devel experts to decide. The below results are all with R-2.5.1 (I can't seem to download r-patched at the moment, but didn't see anything in the 2.5.1-patched release

On 8/6/2009 4:11 PM, Marilyn & Rich Short wrote: > Hello, > > I'm having a problem in R. The R GUI is crashing with a message to > contact Microsoft for the solution. I've contacted Microsoft and they > are of no help. Below is a distilled set of code that will cause the > crash. As you will see, there are two do-loops within which is a "load" >