similar to: lang2(...) with two and more arguments

Hi, I'm writing a C function that has to call a R function with multiple arguments. I've read the relevant section in Writing R Extensions, and searched the R site, mailing lists as well as rseek. I managed to call the function, but I'm now having trouble creating the argument list. I tried to create a pairlist of the arguments and send it to the R function. The R function however

Hi everyone, I am starting learn to call C code from within R. So far, I've been trying toy problems to see if I can get them to work. One of the things I'd like to do is pass an arbitrary R function to C, evaluate the value in the C code using eval, and then return it. I also want to allow an arbitrary number of arguments to the function using "...". The code for my toy

Dear R experts, I'd like to call R function from within C code. I looked through the 'R exts' manual, found examples with lang2(R_fcall, list), and tried it, but it seemed to create the call, which can accept only a single argument of 'list' type, when I need to create the call of R functions with arbitrary numbers of arguments. How can I do it? Thanks a lot. -- WBR,

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

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

Inside of the anyNA() function, it will use the legacy any(is.na()) code if x is an OBJECT(). If x is a vector of POSIXct, it will be an OBJECT(), but it is also TYPEOF(x) == REALSXP. Therefore, it will skip the faster ITERATE_BY_REGION, which is typically 5x faster in my testing. Is the OBJECT() condition really necessary, or could it be moved after the switch() for the individual TYPEOF(x)

Hi all, I am a PhD student and I am working on a C project that involves some statistical calculations. So, I tried to embed R into C, in order to call R functions from a C program. My program seems to get the correct results from R. However, it appears to have a lot of memory allocation issues, in contrast to the small amounts of memory that my code allocates. Some additional info

Hi, I am wondering if the below is possible? Let's assume I have the following expression: 1:10 < 5 Is there a way at the R C API level to only evaluate the 5th element (i.e 5 < 5) instead of evaluating the whole expression and then select the 5th element in the logical vector? Thank you Best regards Morgan [[alternative HTML version deleted]]

Hi I'm trying to implement something similar to the following R snippet using C. I seem to have hit the wall on accessing class slots using C. library(fPortfolio) lppData <- 100 * LPP2005.RET[, 1:6] ewSpec <- portfolioSpec() nAssets <- ncol(lppData) setWeights(ewSpec) <- rep(1/nAssets, times = nAssets) ewPortfolio <- feasiblePortfolio( data = lppData, spec = ewSpec,

Hi I've noted a minor inconsistency in the documentation: Current R-exts reads s = PROTECT_WITH_INDEX(eval(OS->R_fcall, OS->R_env), &ipx); but I believe it has to be PROTECT_WITH_INDEX(s = eval(OS->R_fcall, OS->R_env), &ipx); because PROTECT_WITH_INDEX() returns void. Best regards Kirill

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] =

On 06.06.2017 10:07, Martin Maechler wrote: >>>>>> Kirill M?ller <kirill.mueller at ivt.baug.ethz.ch> >>>>>> on Mon, 5 Jun 2017 17:30:20 +0200 writes: > > Hi I've noted a minor inconsistency in the documentation: > > Current R-exts reads > > > s = PROTECT_WITH_INDEX(eval(OS->R_fcall, OS->R_env), &ipx);

I received the following note this AM. The problem is, I'm not quite sure how to fix it. Can one use PROTECT(coxlist(eval(PROTECT.... , do I create an intermediate variable, or otherwise? I'm willing to update the code if someone will give me a pointer to the right documentation. This particular chunk was written when there was a lot of change going on in the callback mechanism and

Dear All, I've read the manual on "Writing R Extensions" and in particular the part on calling R from C. (Most of the manual is about calling C from R, not the other way around.) The good news is that I can now call _some_ R from C, specifically the R functions which have C header files. However it isn't clear to me how to call R functions that are written in R. I

>>>>> Kirill M?ller <kirill.mueller at ivt.baug.ethz.ch> >>>>> on Thu, 8 Jun 2017 12:55:26 +0200 writes: > On 06.06.2017 22:14, Kirill M?ller wrote: >> >> >> On 06.06.2017 10:07, Martin Maechler wrote: >>>>>>>> Kirill M?ller <kirill.mueller at ivt.baug.ethz.ch> on

I'm trying to get a reference to this object in C SWX.RET[1:6,c("SBI,"SPI","SII")] While i am able to access and use a plain SWX.RET object, I'm getting confused on how to create an object with the array subscripts like above. Here is what I tried to do. It doesn't work because "[" is obviously not an operation or function on SWX.RET. So how do I

On 6/30/20 1:06 PM, Jan Gorecki wrote: > It is quite known that R documentation on R C api could be improved... Please see "5.11 Evaluating R expressions from C" from "Writing R Extensions" Best Tomas > Still R-package-devel mailing list should be preferred for this kind > of questions. > Not sure if that is the best way, but works. > > call_to_sum <-

Hi I think I have asked these questions earlier, but I been able to find answers from the documentation (which I found poorly written in several places). Will someone be kind enough to give me answers and enlighten me? (as in explain with CODE?) I want to embed R in my application and use the fPortfolio package for carrying out risk management computations. Right now I'm reading the Rmetrics

Hi All, I was reading the R extension manual section 5.11 ( Evaluating R expression from C) and I tried to build a simple call to the sum function. Please see below. call_to_sum <- inline::cfunction( language = "C", sig = c(x = "SEXP"), body = " SEXP e = PROTECT(lang2(install(\"sum\"), x)); SEXP ans = PROTECT(eval(e, R_GlobalEnv)); UNPROTECT(2); return

Just to update: What I originally thought was a glm problem appears to be a memory problem that occurs only when R is compiled with the DEC C compiler. Some variables that are still in use get clobbered during garbage collection. No problems if I compile with gcc though. I've made some attempts to see if I can identify a specific compiler optimization that is responsible, but so far no luck.