search for: builtinsxps

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

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

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:

[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

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

Hi, all; I know there has been a lot of discussions on memory usage in R. However, I have some odd situation here. Basically, I have a rare opportunity to run R in a system with 64GB memory without any limit on memory usage for any person or process. However, I encountered the memory problem error message like this: Error: cannot allocate vector of size 594075 Kb I got this error message while

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") ) )

I was debugging a problem reported to me regarding PL/R, and found that I can duplicate it using only R sources. It might be characterized as possibly a misuse of the findFun() function, but I leave that for the R devel experts to decide. The below results are all with R-2.5.1 (I can't seem to download r-patched at the moment, but didn't see anything in the 2.5.1-patched release

Hi, I am trying to minimize a rather complex function of 5 parameters with gafit and nlm. Besides some problems with both optimization algorithms (with respect to consistantly generating similar results), I tried to run this optimization about a hundred times for yet two other parameters. Unfortunately, as the log below shows, during that batch process R starts to eat up all my RAM,

Hi, Starting with ordinary vectors, so we know what to expect: > mapply(function(x, y) {x * y}, 101:106, rep(1:3, 2)) [1] 101 204 309 104 210 318 > mapply(function(x, y) {x * y}, 101:106, 1:3) [1] 101 204 309 104 210 318 Now with an S4 object: setClass("A", representation(aa="integer")) a <- new("A", aa=101:106) > length(a)

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.

Thank you for your reply Jiefei. I think in theory your solution should work. I'll have to give them a try. On Mon, 4 Nov 2019 23:41 Wang Jiefei, <szwjf08 at gmail.com> wrote: > Hi Morgan, > > My solutions might not be the best one(I believe it's not), but it should > work for your question. > > 1. Have you considered Rf_duplicate function? If you want to change

Hi, I'm trying to install RMySQL and I keep hitting errors. My computer is: uname -a Linux cricket 2.6.18-92.1.22.el5PAE #1 SMP Tue Dec 16 12:36:25 EST 2008 i686 i686 i386 GNU/Linux I have set the following environment settings: export PKG_LIBS="-L/usr/lib/mysql -lmysqlclient" export PKG_CPPFLAGS="-I/usr/include/mysql" I run the following command: R CMD INSTALL

===== Summary ===== Version 0.8.0 of the Rcpp package was released to CRAN today. This release marks another milestone in the ongoing redesign of the package, and underlying C++ library. ===== Overview ===== Rcpp is an R package and C++ library that facilitates integration of C++ code in R packages. The package features a set of C++ classes (Rcpp::IntegerVector, Rcpp::Function,

===== Summary ===== Version 0.8.0 of the Rcpp package was released to CRAN today. This release marks another milestone in the ongoing redesign of the package, and underlying C++ library. ===== Overview ===== Rcpp is an R package and C++ library that facilitates integration of C++ code in R packages. The package features a set of C++ classes (Rcpp::IntegerVector, Rcpp::Function,