similar to: dynamic lists at C level

Dear list, On a follow up from my previous email, I am now trying to allocate vectors of length larger than 32-bit in C. >From the R internals documentation, I read that: "The sxpinfo header is defined as a 32-bit C structure..." and "A SEXPREC is a C structure containing the 32-bit header..." The question is: does the INTSXP allow vectors larger than 32-bit? A test

there is my code,  expect return value  is a data frame but R say it is list: SEXP Julia_R_MD_NA_DataFrame(jl_value_t* Var) {  SEXP ans,names,rownames;  char evalcmd[4096];  int i;  const char* dfname="DataFrameName0tmp";  jl_set_global(jl_main_module, jl_symbol(dfname), (jl_value_t*)Var);  //Get Frame cols   sprintf(evalcmd,"size(%s,2)",dfname);  jl_value_t*

Hi, I have been studying the R manual on lists but cannot seem to create a simple R list in C - I keep on getting "'dimnames' applied to non-array" whenever I attempt to assign names to the list elements: Wanted output a list structure something like [ type="Bid", price=2.0, volume=1000 ] I can get up to a list of [ "Bid2, 2.0, 1000 ] But for the life of

This message is in MIME format. Since your mail reader does not understand this format, some or all of this message may not be legible. ------_=_NextPart_000_01C3738F.63DE3390 Content-Type: text/plain; charset="iso-8859-1" #I want to be able to create a new S4 class and read data into it using C code # Here is a very simple S4 object inheriting from "array", but with 5

Hi , I am trying to create a dataframe in C and sebd it back to R. Can anyone point me to the part of the source code where it is doing , let me explain the problem I am having . -------------------------------------------------------------------- My simple implementation is like this SEXP formDF() { SEXP dfm ,df , dfint , dfStr,lsnm; char *ab[3] =

I believe there is a memory leak in isoreg in the current version of R, as I believe the following shows > gc() used (Mb) gc trigger (Mb) max used (Mb) Ncells 120405 3.3 350000 9.4 350000 9.4 Vcells 78639 0.6 786432 6.0 392463 3.0 > for(k in 1:100) { + + y <- runif(10000) + isoreg(x,y) + } > rm(x) > rm(y) > gc() used (Mb) gc

Hi, I'm troubleshooting some native code on Windows that very occationally (and semi-randomly) crashes R. Already looked at "everything", I just want to double check that it is safe to UNPROTECT() allocated variables as soon as they are assigned to, say, a PROTECTed list. >From (R v2.3.0) Section 5.7.1 "Handling the effects of garbage collection" in "Writing R

Assume a C program invoked by .Call, that returns a list. Near the top of the program we allocate space for all the list elements. (It is my habit to use "xyz2" for the name of the R object and "xyz" for the pointer to its contents.) PROTECT(means2 = allocVector(REALSXP, nvar)); means = REAL(means2); PROTECT(u2 = allocVector(REALSXP, nvar)); u =

Dear R .Call() insiders, Can someone enlighten me how to properly finalize external pointers in C code (R-2.5.1 win)? What is the relation between R_ClearExternalPtr and the finalizer set in R_RegisterCFinalizer? I succeeded registering a finalizer that works when an R object containing an external pointer is garbage collected. However, I have some difficulties figuring out how to do that in an

Dear R-devel, A couple of weeks ago I started to use the R C API for package development. Without knowing much about C, I've been able to write some routines sucessfully... until now. My problem consists in dynamically creating a list ("L1") of lists using .Call, the tricky part is that each element of the "mother list" contains two vectors (INTSXP and REALEXP types) with

Hello, I have created a vector with 2 elements(see code below) I am calling this function many thousands of times (hundreds of thousands) after some time i get *** caught segfault *** address 0x5, cause 'memory not mapped' However, if i dont set the R_NamesSymbol, I do not get any such error. Am I doing this correctly? Thank you Saptarshi ==CODE=== // kxp and usar are two SEXP's

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 was hoping to get some advice about how to return a tree (basically a linked list -- with each node containing a parent, left, and right node pointers) from a C routine back into R. Each node itself contains several attributes (a double, a char *, an int, and a void * ) Initially I was thinking I could just return to R a SEXP containing a pointer to the Root Node, but then realized

Hello, Quick question. I have written a C function - I would like to make it return two vectors to the R environment - one STRSXP vector, and one INTSXP vector. Is this possible/ easy to do using the API? I looked, but could not find the answer to this question in the "Writing R Extensions" guide. Thanks very much for your help! Charles [[alternative HTML version deleted]]

Thank you to everyone who responded to my previous post regarding the integration into R of C programs that use external libraries. I have another issue that I simply have not been able to figure out using documentation, list archives, and so forth. I have data that is stored in R lists. I would like to pass the list to C code using the .Call function, perform mathematical operations on the

Hi, I'd like to construct an R list object in C++, fill it with relevant data, and pass it to an R function which will return a different list object back. I have browsed through all the R manuals, and examples under tests/Embedding, but can't figure out the correct way. Below is my code snippet: #include <Rinternals.h> // Rf_initEmbeddedR and other setups already performed

Hi , I am asking too many questions , sorry for that . I am creating a data frame in C itself , reading a table . The data frame calling code looks like this ====================================== *PROTECT(dfm=lang2(install("data.frame"),df));* *SEXP res = PROTECT(eval(dfm,R_GlobalEnv));* UNPROTECT(2); return res; ================================== It works fine , now the problem

man for `qr` says that the function uses LINPACK's DQRDC, while it in fact uses DQRDC2. ``` The QR decomposition of the matrix as computed by LINPACK or LAPACK. The components in the returned value correspond directly to the values returned by DQRDC/DGEQP3/ZGEQP3 ```

Hi , For our production package i need to create a dataframein C . So I wrote the following code SEXP dfm ,head,df , dfint , dfStr,lsnm; *SEXP valueVector[2];* char *ab[3] = {"aa","vv","gy"}; int sn[3] ={99,89,12}; char *listnames[2] = {"int","string"}; int i,j; //============================= PROTECT(df = allocVector(VECSXP,2));

Hi, I'm using a package that has a number of formats. I have C code to parse these formats the results of which are generally integer arrays. I would like to utilize these modules in R rather than writing R code to read in these files (and also to learn about R extensions). Essentially what I want is to do something like this: load_tsets <- function(t,c,p) .C( "c_load_tsets",