similar to: how R outputs?

Hi.All and R developers: Since I am a beginner on R,I have some questions when I studied the source code.I wonder if anyone have time to help me? My question is how the R expressions change to the c code. That is when I input an expression to the GUI or from a file, how R converts the expression to the parse tree in C code(maybe it is a C function, then what is it?), and then does the

When large calls cause errors R may stall for extended periods.? This is particularly likely to happen with `do.call`, as in this example with a 24 second stall: ??? x <- runif(1e7) ??? system.time(do.call(paste0, list(abs, x)))? # intentional error ??? ## Error in (function (..., collapse = NULL)? : ??? ##?? cannot coerce type 'builtin' to vector of type 'character' ??? ##

Luke, thanks for considering the issue.? I would like to try to separate the problem into two parts, as I _think_ your comments address primarily part 2 below: 1. How can we avoid significant and possibly crippling ?? stalls on error with these non-standard calls. 2. What is the best way to view these non-standard calls. I agree that issue 2. requires further thought and discussion under a

We also have a few other suggestions and wishes about backtrace storage and display on the one hand, and display of constructed calls on the other hand. Perhaps it would be better to open a different wishlist item for traceback() to keep the discussions focused? FWIW I think deparsing backtraces lazily is a great idea. Displaying 1 line per call by default in interactive sessions, while being

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 was looking for a Windows-specific R function to focus the console window and couldn't find one. The motivation is that after loading the tcltk package, the "main" Tk window "." is presumably focused but then immediately withdrawn (hidden) so the RConsole loses its focus and you have to click on it to continue typing. Would there be any interest in including a

Dear mailing list, I have a C function that gives me a wrong result when I run it under Windows 7. This is the code under Linux (RHEL5): > library(phenoTest) > data(epheno) > sign <- sample(featureNames(epheno))[1:20] > score <- getFc(epheno)[,1] > head(score) 1007_s_at 1053_at 117_at 121_at 1255_g_at 1294_at -1.183019 1.113544 1.186186 -1.034779 -1.044456

We (the lme4 authors) are having a problem with doing a proper deep copy of a reference class object in recent versions of R-devel with the LAZY_DUPLICATE_OK flag in src/main/bind.c enabled. Apologies in advance for any improper terminology. TL;DR Is there an elegant way to force non-lazy/deep copying in our case? Is anyone else using reference classes with a field that is an external pointer?

I've just implemented a generalization of R's text connections, to also support reading/writing raw binary data. There is very little new code to speak of. For input connections, I wrote code to populate the old text connection buffer from a raw vector, and provided a new raw_read() method. For output connections, I wrote a raw_write() to append to a raw vector. On input, the mode

http://www.keittlab.org/ On Wed, Mar 29, 2017 at 1:04 PM, Herv? Pag?s <hpages at fredhutch.org> wrote: > Hi Tim, > > On 03/29/2017 08:24 AM, Tim Keitt wrote: > >> I have a use case where I would like to create an SEXP around an existing >> buffer that is managed by R, thus avoiding a copy operation. >> > > What to you mean exactly by "an existing

I want to write an R function using R's C interface that takes a 2-column matrix of increasing, non-overlapping integer intervals and returns a list with those intervals plus some added intervals, such that there are no gaps. For example, it should take the matrix rbind(c(5L, 6L), c(7L, 10L), c(20L, 30L)) and return list(c(5L, 6L), c(7L, 10L), c(11L, 19L), c(20L, 30L)). Because the output is

Hello. I've been pulling together a Debian package out of Maxence Guesdon's OCaml bindings for R. Will be available from my website as soon as I get my router to obey me. Here's Maxence's bindings: http://pauillac.inria.fr/~guesdon/ocaml-r.en.html The purpose of this software is to access R from OCaml programs. However, my issue is that after having pulled things to a Debian

Hello. I've been pulling together a Debian package out of Maxence Guesdon's OCaml bindings for R. Will be available from my website as soon as I get my router to obey me. Here's Maxence's bindings: http://pauillac.inria.fr/~guesdon/ocaml-r.en.html The purpose of this software is to access R from OCaml programs. However, my issue is that after having pulled things to a Debian

For using R's .Call interface to C functions, all the examples I've seen have the C function return type SEXP. Why? What does R actually do with this return type? What happens if I *don't* return a SEXP? Reason I ask, is I've written some R code which allocates two long lists, and then calls a C function with .Call. My C code writes to those two pre-allocated lists, thus, I

[Disclaimer: what is below reflects my understanding from reading the R source, others will correct where deemed necessary] On 1/2/10 12:00 PM, r-devel-request at r-project.org wrote: > > Hello, > > We are currently making lots of changes to Rcpp (see the open Rcpp > mailing list if interested [1] in the details). > > We are now using [2] R_PreserveObject and R_ReleaseObject

2 days ago, I posted my long message about the observed slowdown in a package between R-2.15.0 and R-2.15.2. Uwe Ligges urged me to make a self-contained R example. That was the encouragement I needed. I tracked the problem down to a failing use of a LAPACK routine. R's LAPACK C interface changed one variable in one function. But it turned out to be an important change. In case others have

Hi all, im triyng to implement a bayesian model with R and c++. I have a strange problem. I can't reproduce the error with a small script and then i post the original one. The problem is after the line for(MCMC_iter2=0;MCMC_iter2<thin;MCMC_iter2++) For the first 34 iterations all work fine, after, all the simulations of mu_acc_P return an "nan". If i delete the line

Hi all I recently started to write a matrix exponentiation operator for R (by adding a new operator definition to names.c, and adding the following code to arrays.c). It is not finished yet, but I would like to solicit some comments, as there are a few areas of R's internals that I am still feeling my way around. Firstly: 1) Would there be interest in adding a new operator %^% that performs

R lets one lock an environment with both an R function, base::lockEnvironment, and a C function, R_LockEnvironment, but, as far as I can tell, no corresponding function to unlock an environment. Is this omission on principle or just something that has not been done yet? I ask because several packages, including the well-used R6 and rlang packages, fiddle with some bits in with SET_ENVFLAGS and

My question is based on a project I have partially done, but there is still something I'm not clear. My goal is to create a R package contains GPU functions (some are from Nividia cuda library, some are my self-defined CUDA functions) My design is quite different from current R's GPU package, I want to create a R object (external pointer) point to GPU address, and run my GPU function