similar to: creating environments in package's C code

On Mon, 13 May 2024 09:54:27 -0500 (CDT) luke-tierney--- via R-devel <r-devel at r-project.org> wrote: > Looks like I added that warning 22 years ago, so that should be enough > notice :-). I'll look into removing it now. Dear Luke, I've got a somewhat niche use case: as a way of protecting myself against rogue *.rds files and vulnerabilities in the C code, I've been

Hi, as Seth Falcon in 2006, I also need to create new environments from package C code. Unfortunately, both NewEnvironment and R_NewHashedEnv are not yet part of the public API, if I understand correctly. Is it planned to add at least one of these functions to the public API in the near future? May I submit a patch? Otherwise I would need to re-implement much of the functionality of R

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

The Bioconductor build for a package DirichletMultinomial on R Under development (unstable) (2013-02-26 r62077) -- "Unsuffered Consequences" at http://bioconductor.org/checkResults/devel/bioc-LATEST/DirichletMultinomial/george2-buildsrc.html shows * creating vignettes ... ERROR ... Error: processing vignette ?DirichletMultinomial.Rnw? failed with diagnostics: chunk 21 (label

Hello. What happens in the following is that I create two simple functions, f and g, on the workspace. Then I replace g. When I then call f, it uses the old version of g. Now clearly, the circumstances for this to happen must be quite special and rare. But I'd say they're not pathological. It seems to require two things: 1) masked versions of f and g on a search position lower down the

Hi R experts, Could you please help me to fit a linear, cubic and quadratic curve in a figure? I was trying to show all these three fitting curves with different colour in one figure. I spent substantial time to figure it out, but I could not. I have given here a example and what I did for linear, but no idea for cubic and quadratic fitting curve > dput(test) structure(list(sp = c(4L, 5L,

My understanding is that R will not make copies of lists if there is only one reference to the object. However, I've encountered a case where R does make copies, even though (I think) there should be only one reference to the object. I hope that someone could shed some light on why this is happening. I'll start with a simple example. Below, x is a list with one element, and changing that

Reading "R Internals" made me believe that R_UnboundValue was a placeholder that would be skipped over in variable lookup. viz. the section of R Internals "Hash tables" says "items are not actually deleted but have their value set to R_UnboundValue.", which seems to align with what I read in envir.c. So, I reasoned, if I have a function that returns R_UnboundValue,

Despite the spirited arguments of various R-core folks who feel that mle() doesn't need a "data" argument, and that users would be better off learning to deal with function closures, I am *still* trying to make such things work in a reasonably smooth fashion ... Is there a standard idiom for "merging" environments? i.e., suppose a function has an environment that I want

Currently, I load the RData file then ls() and str(). But loading the file takes too long if the file is big. Most of the time, I only interested what the variables are in the the file and the attributes of the variables (like if it is a data.frame, matrix, what are the colnames/rownames, etc.) I'm wondering if there is any facility in R to help me avoid loading the whole file.

I would like to write a function that computes Tukey's 1 df for nonadditivity. Here is a simplified version of the function I'd like to write: (m is an object created by lm): tukey.test <- function(m) { m1 <- update(m, ~.+I(predict(m)^2)) summary(m1)$coef } The t-test for the added variable is Tukey's test. This won't work: data(BOD) m1 <- lm(demand~Time,BOD)

Hi, I'm quite knew in R, so I might not have the R specific jargon. But here is my problem, I'm trying to access and use variabels given by a function environment, more specifically the rho in do_optim in src/main/optim.c According to the documentation http://cran.r-project.org/doc/manuals/R-ints.html#The-_0027data_0027 the envsxp is defined as a tagged pairlist. "ENVSXP: Pointers

Full_Name: stephen eglen Version: 1.0.0 OS: Unix (OSF/1) Submission from: (NULL) (129.215.238.26) Hi, in the documentation `Writing R Extensions', the section 3.6.1 (handling the effects of garbage collection) has the following typo: Protecting a SEXP pointer protexts ... Should that be `protects'? -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-

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:

Full_Name: Ed Borasky Version: 1.8.1 OS: Windows XP Professional Submission from: (NULL) (208.252.96.195) R 1.8.1 seems to be running into a memory allocation problem in the "aggregate" function. I have a rather large dataset (14 columns by 223,000 rows -- almost 40 megabytes) and a script that performs some processing on it. The system is a 768 MB Pentium 4. Here's the console

[some de-capitalization of *SXP done manually by mailing list maintainer ; the originally was caught as potential spam. MM] I have a little R program that crashes with the message xmalloc: out of virtual memory The code has a repeat{} loop that watches the sizes of some files. When there's an increase it updates things by reading the last 65 lines of each file, doing some

Hi, I would like to be able to create new environments from package C code. AFAICT, this isn't allowed since both NewEnvironment and R_NewHashedEnv are declared in Defn.R. If exposing this isn't controvertial, I would submit a patch. However, I'm not sure where the declarations should go (Rdefines.h?) and whether they need to change to Rf_*. + seth

I'm confused by this: > identical(function() {}, function() {}) [1] FALSE Yet, after loading the Matrix package (which redefines det), the following is checked (in library.checkConflicts): > identical(get("det", baseenv()), get("det", asNamespace("Matrix")), ignore.environment=T) [1] TRUE I've looked at the code in identical.c and for closures it

character arguments with call_R do not work except in the first position. (In other positions, they just yield a single blank character.) The error is at line 1858 of dotcode.c which should be changed from STRING(CAR(pcall))[i]=s; to STRING(CAR(pcall))[0]=s; Jim -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-devel mailing list -- Read

On Sat, 11 May 2024, Peter Langfelder wrote: > On Sat, May 11, 2024 at 9:34?AM luke-tierney--- via R-devel > <r-devel at r-project.org> wrote: >> >> On Sat, 11 May 2024, Travers Ching wrote: >> >>> The following code snippet causes R to hang. This example might be a >>> bit contrived as I was experimenting and trying to understand >>>