similar to: External special functions (SPECIALSXP)

Hello, For the BUILTINSXP and SPECIALSXP types, the R Internals page documents "An integer giving the offset into the table of primitives/.Internals. " What macro gives me the value of this integer? I guess something like this would work had R_USEINTERNALS been defined v->u.primsxp.offset (where v is a SEXP of either of the above types). What is the portable version? Thank you

Hi, all I can not figure this out, please have a look and help me out. thank you! Note: this is in SPLUS, not R. I have following code *********************************** modfit<-function(yir,yew, ft) { n<-length(yew) yew<-yew[1:(n-1)] yy<-yir-ft xx<-yew-ft n<-length(xx) xx0<-xx[2:n] yy0 <-yy [2:n] xx1<-xx[1:(n-1)] fit <- garch(yy0~xx0 + xx1+var.in.mean,

I'm a beginer programming C and I have the following problem: I have the following C-code file #include <stdlib.h> void gen(int *n, int *a, int *c, int *m, int *x0, int *x); main(){ int nn = 31; int aa = 3; int cc = 0; int mm = 31; int xx0 = 9; int xx[nn]; int i; gen(&nn,&aa,&cc,&mm,&xx0,xx); for (i = 0; i <= nn-1; i++) printf("%d

Is this the appropriate place for GSoC conversations? If I understand the proposal correctly, there should be a lexer (written in R) that exposes an API; that API would be used by segregated mini-parsers (Roclets) which do the dirty work of Roxygen -> {html, LaTeX, DocBook, ...} translation. The lexer should ship with a proof-of-concept Roclet. Have I missed anything?

Hi is there a list of all roxygen tags which are available? I couldn't find them. I am asking specifically towards the use of roxygen in documenting S4 classes - is that implemented yet (i am using roxygen 0.1 from CRAN at the moment)? Thanks Rainer -- Rainer M. Krug, Centre of Excellence for Invasion Biology, Stellenbosch University, South Africa

Hi to all, i have dovecot 2.2.5 and i have implemented lda rejection through quota full this is my dovecot conf protocol lda { mail_fsync = optimized auth_socket_path = /usr/local/var/run/dovecot/auth-userdb deliver_log_format = msgid=<%f>-<%s>-%m: %$ hostname = mail.cgilfe.it info_log_path = /var/log/dovecot/dovecot-deliver.log log_path =

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

Does anyone have an example of calling primitive or internal functions from C code that they would share with me? I am having trouble trying to figure out how to construct the proper arguments to pass to "do_subset_dflt" Here is the prototype: SEXP do_subset_dflt(SEXP call, SEXP op, SEXP args, SEXP rho); The R_FunTab from "names.c" gives some additional information on the

Does anyone have an example of calling primitive or internal functions from C code that they would share with me? I am having trouble trying to figure out how to construct the proper arguments to pass to "do_subset_dflt" Here is the prototype: SEXP do_subset_dflt(SEXP call, SEXP op, SEXP args, SEXP rho); The R_FunTab from "names.c" gives some additional information on the

I understand why the following happens ($.proto delegates to get, which ascends the parent hierarchy up to globalenv()), but I still find it anti-intuitive: > z <- 1 > y <- proto(a=2) > y$z [1] 1 Although this is well-documented behavior; wouldn't it uphold the principle of least surprise to inherit instead from baseenv() or emptyenv()? (See attached patch.) Spurious

Hi, I am trying to compile R with the command below in order to install rpy2. ./configure --prefix=/usr/local/R/R-2.9.2 --with-gnu-ld --with-cairo --with-x --enable-R-shlib However, error the I have gotten was: /usr/bin/ld: CConverters.o: relocation R_X86_64_32S against `R_FunTab' can not be used when making a shared object; recompile with -fPIC CConverters.o: could not read symbols: Bad

[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've been trying to get a shared library version of the R package(version 2.12.1) installed on a CentOS 5 system. (It installs fine without but other packages demand shared libs - namely Rapache). I've tried this with yum but don't know of any flags to set to tell it to installl with shared libs enabled. I then tried a local R install as non-root with source packages: after

Dear All, I'm trying to track down a very erratic bug in some fortran; I have an example that quite consistently segfaults on windoz, and more sporadically on mac, all in the course of doing some bootstrap calculations, varying the set.seed call, but I'm now trying to see what is going on on our redhat system: R version 2.15.1 (2012-06-22) -- "Roasted Marshmallows"

Happy new year to all; A few days ago, I posted similar problem. At that time, I found out that our R program had been 32-bit compiled, not 64-bit compiled. So the R program has been re-installed in 64-bit and run the same job, reading in 150 Affymetrix U133A v2 CEL files and perform dChip processing. However, the memory problem happened again. Since the amount of physical memory is 64GB, I think

> > On 7 Oct 2019, at 13:47, Duncan Murdoch <murdoch.duncan at gmail.com> wrote: > > On 07/10/2019 4:22 a.m., Lionel Henry wrote: >> Hi Gabe, >>> There is another way the pipe could go into base R that could not be >>> done in package space and has the potential to mitigate some pretty >>> serious downsides to the pipes relating to debugging

Dear R users, I have been using the pdMat class "pdIdnot" (from the mgcv package)instead of "pdIdent" to avoid overflow in GLMM fits with the MASS package function glmmPQL, of the following form: fit1 <- glmmPQL(fixed=y0~-1+xx0, random=list(gp=pdIdent(~-1+zz0)), family=binomial) # vulnerable to overflow fit2 <- glmmPQL(fixed=y0~-1+xx0,

On Thu, Jan 22, 2015 at 11:44 AM, <luke-tierney at uiowa.edu> wrote: > I'm not convinced that how to make :: faster is the right question. If > you are finding foo::bar being called often enough to matter to your > overall performance then to me the question is: why are you calling > foo::bar more than once? Making :: a bit faster by making it a > primitive will remove

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 Thu, Jan 22, 2015 at 11:44 AM, <luke-tierney at uiowa.edu> wrote: > > For default methods there ought to be a way to create those so the > default method is computed at creation or load time and stored in an > environment. We had considered that, but we thought the definition of the function would be easier to interpret if it explicitly specified the namespace, instead of