similar to: assigning objects from .C/.Call

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'm wondering if this code from the "Writing R Extensions" manual is really safe: SEXP mkans(double x) { SEXP ans; PROTECT(ans = allocVector(REALSXP, 1)); REAL(ans)[0] = x; UNPROTECT(1); return ans; } double feval(double x, SEXP f, SEXP rho) { defineVar(install("x"), mkans(x), rho);

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) {

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

1. Is it always the case that when defining generic functions in a package, the package needs to be installed as a binary package to avoid having the generic functions in the .GlobalEnv? 2. Defining a generic function in a "non-binary" package triggers a check warning $ R CMD check ... ... * checking for code/documentation mismatches ... WARNING Objects

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

Full_Name: Roger Bivand Version: 0.99.0 OS: RH Linux 6.1 Submission from: (NULL) (158.37.60.152) I am working on an interface between R and the GRASS geographical information system, written in R, with no dynamically loaded code. I have written full examples, and tested then under R 0.90.1, both by entering example() for each function and R CMD check, both of which worked without problem. Under

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

Does anyone have an example of calling primitive or internal functions from C code that they would share with me? I am having trouble trying to figure out how to construct the proper arguments to pass to "do_subset_dflt" Here is the prototype: SEXP do_subset_dflt(SEXP call, SEXP op, SEXP args, SEXP rho); The R_FunTab from "names.c" gives some additional information on the

Does anyone have an example of calling primitive or internal functions from C code that they would share with me? I am having trouble trying to figure out how to construct the proper arguments to pass to "do_subset_dflt" Here is the prototype: SEXP do_subset_dflt(SEXP call, SEXP op, SEXP args, SEXP rho); The R_FunTab from "names.c" gives some additional information on the

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;

Hi, I'm quite knew in R, so I might not have the R specific jargon. But here is my problem, I'm trying to access and use variabels given by a function environment, more specifically the rho in do_optim in src/main/optim.c According to the documentation http://cran.r-project.org/doc/manuals/R-ints.html#The-_0027data_0027 the envsxp is defined as a tagged pairlist. "ENVSXP: Pointers

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" >

Hi r-users,   I would like to solve for z values using newton iteration method.  I 'm not sure which part of the code is wrong since I'm not very good at programming but would like to learn.  There seem to be some output but what I expected is a vector of z values.  Thank you so much for any help given.   newton.inputsingle <- function(pars,n) {  runi    <- runif(974, min=0, max=1)

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

The r-devel (1.4) code has C implementations now of the class and class<- functions in package methods, and also of as.environment. The last brings up a question (it shows up in the isas-tests test suite). as.environment(NULL) is NULL. Seems like it has to be, since NULL is the environment associated with package:base. But is.environment(NULL) is FALSE, which is also fairly natural, if we