similar to: ScalarLogical and setAttrib

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, In Rcpp, we now have a "Function" class to encapsulate functions (they cover all three kinds, but this may change). To call the function, what we do is generate a call with the function as the first node and then evaluate the call. SEXP stats = PROTECT( R_FindNamespace( mkString( "stats") ) ); SEXP rnorm = PROTECT( findVarInFrame( stats, install( "rnorm") ) )

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 <-

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 =

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 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

Hi, I have a C code which produces array of integers and potentially a string, and I have problems passing the string out. Here is the relevant part of the code: 1 PROTECT(Ret = allocVector(INTSXP, n)); 2 ret = (int*) INTEGER(Ret); /* get pointer to R's Ret */ 3 for(i=0; i<n; i++) ret[i] = data[i]; 4 Free(data); 5 i=1; 6 if (comment) { // comment was found 7 n

Hi, I have a C code which produces array of integers and potentially a string, and I have problems passing the string out. Here is the relevant part of the code: 1 PROTECT(Ret = allocVector(INTSXP, n)); 2 ret = (int*) INTEGER(Ret); /* get pointer to R's Ret */ 3 for(i=0; i<n; i++) ret[i] = data[i]; 4 Free(data); 5 i=1; 6 if (comment) { // comment was found 7 n

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,

I think this is another one of the same kind of bugs in ts: Version 0.64.1 (May 8, 1999) ... > z <- ts(matrix(1:20,10,2), start=c(1969,1), frequency=12) > (z > 5) | (z < 2) Error: invalid time series parameters specified > Paul -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-devel mailing list -- Read

Dear all, I am confused about the inconsistent behaviors of `@<-` operator when used in different ways. Consider the following example: library(inline) # Function to generate an externalptr object with random address new_extptr <- cfunction(c(), ' SEXP val = PROTECT(ScalarLogical(1)); SEXP out = PROTECT(R_MakeExternalPtr(&val, R_NilValue, val)); UNPROTECT(2);

I believe the performance of isUnsorted() in sort.c could be improved by calling REAL() once (outside of the for loop), rather than calling it twice inside the loop. As an aside, it is implemented in the faster way in doSort() (sort.c line 401). The example below shows the performance improvement for a vectors of double of moving REAL() outside the for loop. # example as implemented in

Hi! I want to return a matrix. The code does the R interfacing. This version does it fine. SEXP ans,dim; PROTECT(ans = NEW_NUMERIC(count*2)); memcpy(NUMERIC_POINTER(ans),result,count*sizeof(double)); memcpy(&(NUMERIC_POINTER(ans)[count]),occur,count*sizeof(double)); /** PROTECT(dim=NEW_INTEGER(2)); INTEGER_POINTER(dim)[0]=2; INTEGER_POINTER(dim)[1]=count;

I'm trying to generate an R interface for a library that's commonly used and I'm currently writing wrapper functions for file i/o and return an object (list?) that contains the elements of the C structure. For example, reading a file that contains: struct CONFIG_RECORD { char coeffs_filename[256]; char species_filename[256]; unsigned long

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

I think recreating tempdir() is ok in an emergency situation, but package code should not be removing tempdir() - it may contain important information. Bill Dunlap TIBCO Software wdunlap tibco.com On Wed, Nov 8, 2017 at 4:55 PM, Henrik Bengtsson <henrik.bengtsson at gmail.com > wrote: > Related to this problem - from R-devel NEWS >

Hi , I am trying to call head function from C . My doubt is with the parameter n,how to pass it . PROTECT(dfm=lang3(install("data.frame"),df,ScalarLogical(FALSE))); SET_TAG(CDDR(dfm), install("stringsAsFactors")) ; SEXP res = PROTECT(eval(dfm,R_GlobalEnv)); PROTECT(head=lang3(install("head"),res,ScalarInteger(1))); head = PROTECT(eval(head,R_GlobalEnv)); I tried

Hi all! I read R Extensions manual. But still I am not sure how to call R functions from C. Would any of you give me a sample C code to show how to call R functions - for instance, time series functions - from C in the embedded way of C code? [[alternative HTML version deleted]]

I'm observing that base::sum(x, na.rm=FALSE) for typeof(x) == "double" is much more time consuming when there are missing values versus when there are not. I'm observing this on both Window and Linux, but it's quite surprising to me. Currently, my main suspect is settings in on how R was built. The second suspect is my brain. I hope that someone can clarify the below