similar to: Convert STRSXP or INTSXP to factor

Hi Morgan, So if the goal is output identical to calling factor, one thing youc an do is construct and evaluate a call to the R-level factor function. That would work and be guaranteed to meet your requirement. The factor function is implemented with R code, without even any direct calls down to C code, so there isn't any C level functionality already there that you could try to hit

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*

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, Is there a way to resize a matrix defined as follows: SEXP a = PROTECT(allocMatrix(INTSXP, 10, 2)); int *pa = INTEGER(a) To row = 5 and col = 1 or do I have to allocate a second matrix "b" with pointer *pb and do a "for" loop to transfer the value of a to b? Thank you Best regards Morgan [[alternative HTML version deleted]]

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 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] =

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 ```

Hello, I?m experimenting with ALTREP and was wondering if there is a preferred way to create an ALTREP wrapper vector without using .Internal(wrap_meta(?)), which R CMD check doesn?t like since it uses an .Internal() function. I was trying to create a factor that used an ALTREP integer, but attempting to set the class and levels attributes always ended up duplicating and materializing the

I think you are confusing package and function here. Plus some of the R Core packages, that you mention, contain functions that should probably be replaced by functions with better implementation from packages on CRAN. Best regards Morgan On Fri, 11 Oct 2019 15:22 Joris Meys, <jorismeys at gmail.com> wrote: > > > On Fri, Oct 11, 2019 at 3:55 PM Morgan Morgan <morgan.emailbox

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

How do you prove usefulness of a feature? Do you have an example of a feature that has been added after proving to be useful in the package space first? Thank you, Morgan On Fri, 11 Oct 2019 13:53 Michael Lawrence, <lawrence.michael at gene.com> wrote: > Thanks for this interesting suggestion, Morgan. While there is no strict > criteria for base R inclusion, one criterion relevant

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]]

Hi Jiefei and Kylie, Great to see people engaging with the ALTREP framework and identifying places we may need more tooling. Comments inline. On Thu, Jul 18, 2019 at 12:22 PM King Jiefei <szwjf08 at gmail.com> wrote: > > If that is the case and you are 100% sure the reference number should be 1 > for your variable *y*, my solution is to call *SET_NAMED *in C++ to reset > the

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 <-

> On Wednesday, May 20, 2020, 7:00:09 AM EDT, peter dalgaard <pdalgd at gmail.com> wrote: > > Expected, see FAQ 7.31. > > You just can't trust == on FP operations. Notice also Additionally, since you're implementing a "mean" function you are testing against R's mean, you might want to consider that R uses a two-pass calculation[1] to reduce floating

Dear all, I have written a little R program to convert images. See below. Within the loop over j (the filenames) memory consumption grows constantly. rm( ... ) inside the loop did not help. Memory does not grow if I remove the writeBin statements between the two #-------- marks. But obviously this is not solution I want... Thanks for any advice. Manfred Baumstark P.S. As I'm new to R:

On Fri, 11 Oct 2019 10:45 Duncan Murdoch, <murdoch.duncan at gmail.com> wrote: > On 11/10/2019 6:44 a.m., Morgan Morgan wrote: > > Hi All, > > > > I was looking for a function to find a small matrix inside a larger > matrix > > in R similar to the one described in the following link: > > > > >

Hi, It sometimes happens that some packages get included to R like for example the parallel package. I was wondering if there is a process to decide whether or not to include a package in the core implementation of R? For example, why not include the Rcpp package, which became for a lot of user the main tool to extend R? What is our view on the (not so well known) dotCall64 package which is an