similar to: Helping out - simple bugs to help familiarize with R design, source, etc

Hi, Again, sorry for the length of this post. Once I get my new office I will get a website set up on my work machine and will simply post a link to the log since I doubt many people are truly interested in these logs. To further analyze what is happening, I added my own routine in main.c called DEBUG_SET_NAMED and then redefined the SET_NAMED macro to use it and then rebuilt R. I

Hi all, It seems that there is a use case for obtaining the environment for the "top" promise. By "top", I mean following the promise chain up the call stack until hitting a non-promise. S4 data containers often mimic the API of base R data structures. This means writing S4 methods for functions that quote their arguments, like with() and subset(). The methods package

I'm trying to create a language structure that is a call to a function with a number of arguments that is only known at run time. I do this by using repeated indices to expand out a call with a single argument. However, when I change one of the arguments, all are changed. I don't see the same behavior when I initially create a call with multiple arguments. Even more strangely,

> To allow for future changes in the way the need for duplication is > detected in R internal C code, package C code should avoid direct > use of NAMED,and SET_NAMED, or assumptions on the maximal value > of NAMED. Use the macros MAYBE_REFERENCED, MAYBE_SHARED, and > MARK_NOT_MUTABLE instead. These currently correspond to > > MAYBE_REFERENCED(x): NAMED(x) > 0 >

Hi, R v2.1.1 patched (2005-05-26) for Windows crashes. The sympotoms are like "memory leakage". The patched version from two days ago crashes at a different position in R CMD check compared to todays version. A "REPRODUCIBLE" EXAMPLE: Unfortunately, I cannot create a minimal code example reproducing the crash, but here is at least a simple way to reproduce it: 1. Make

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:

Thanks. isFreeCall() works well but for %call2 = call i32 bitcast (i32 (...)* @free to i32 (i8*)*)(i8* %call1) nounwind, !dbg !16 So I tried to figure out when the above instruction occurred. When <stdlib.h> is included, free(buf2R1); turn into call void @free(i8* %call1) nounwind, !dbg !16 when I forget to include <stdlib.h>, free(buf2R1); turn into %call2 = call i32 bitcast (i32

> install.packages("rggobi", repos="http://ggobi.org/r/") Warning in install.packages("rggobi", repos = "http://ggobi.org/r/") : argument 'lib' is missing: using /Users/hadley/Library/R/library/ Reading symbols for shared libraries . done Program received signal EXC_BAD_ACCESS, Could not access memory. Reason: KERN_INVALID_ADDRESS at

If anyone has a few extra CPU cycles to spare, I'd appreciate it if you could verify a problem that I have encountered. Run the code below and tell me if it crashes your R before completion. library(lme4) data(bdf) dump<-sapply( 1:50000, function(i) { fm <- lme(langPOST ~ IQ.ver.cen + avg.IQ.ver.cen, data = bdf, random = ~ IQ.ver.cen | schoolNR); cat("

I have an R script that I run using nohup R CMD BATCH r.in r.out & The code loops through data from the database and takes hours. The problem is, in about an hour and a half after I start the script the program stops and I get /usr/lib/R/bin/BATCH: line 55: 14067 Done ( echo "invisible(options(echo = TRUE))"; cat ${in}; echo "proc.time()" ) 14068

Hi! I want to know the way that calls are answer in this case... I have queue1 and queue2, one agent that receive call from both queues. queue1 <- call1 queue1 <- call2 queue2 <- call3 queue2 <- call4 In my test the agent answer calls in this order: call1,call3,call2 and call4. I think this must be in this order call1,call2, call3, call4 like a big FIFO. Its ok this behavior? Could

Hello, Not sure if this is the right list of if this is a gdal/sf issue so I apologize but recently I've been seeing errors that crash R/3.5.1 and throw a double-linked list error (see below). Has anyone else come across this issue and if so is there a fix? > rwhole <- st_transform(rwhole,st_crs(ele.map)) *** Error in `/usr/local/lib64/R/bin/exec/R': corrupted double-linked list:

Hello, It seems the recent Mac OS X 10.4.11 update installed a new libBLAS.dylib in the Accelerate framework which either contains a bug itself or exposes a bug somewhere in R's lapack code on the PowerPC G4 and G5. My build of R 2.6.0 executed the tests/lapack.R code succesfully when I upgraded when 2.6.0 was released. After the OS update, it now crashes. This happens both with the version I

Full_Name: Henrik Bengtsson Version: R v1.7.0 OS: WinXP Pro Submission from: (NULL) (130.235.2.229) There seems to be an upper limit of the number of files (approx 1000 files) a zip-file can contain when unpacking it with zip.unpack(). This results in an R crash. This bug is urgent since install.packages() relies on zip.unpack() and too big packages/bundles won't install with the current R

Valgrind (without gctorture) reports memory misuse: % R --debugger=valgrind --debugger-args="--leak-check=full --num-callers=18" ... > x <- 1:200000 > y <- rep(letters[1:5], length(x) / 5L) > for (i in 1:1000) { + # x[y == 'a'] <- x[y == 'b'] + x <- `[<-`(x, y == 'a', x[y == 'b']) + cat(i, '') + } 1 2 3 4 5 6 7 8 9 10

I''m having a problem with multiple Ajax.Updater instances. I have five small chunks of data being loaded into my homepage, and they seem to be firing off one at a time. So the pieces load up in the order they were called. Maybe I''m being a noob, but shouldn''t all those requests just fire away and then place the content as it gets received? I was doing multiple versions,

Hi, I'm currently R porting SF Mersenne Twister algorithm of Matsumoto and Saito. To get the full power of their code, I want to use their fonction fill_array32 which need aligned memory. That is to say I need to use the C function memalign on windows, posix_memalign on linux and classic malloc on Mac OS. In 'writing R extenstion', they recommand to use R_alloc function to

Hi, I'm currently R porting SF Mersenne Twister algorithm of Matsumoto and Saito. To get the full power of their code, I want to use their fonction fill_array32 which need aligned memory. That is to say I need to use the C function memalign on windows, posix_memalign on linux and classic malloc on Mac OS. In 'writing R extenstion', they recommand to use R_alloc function to

I'm running some code in R64 on a Mac OS 10.6.8 that calls a C program through the dyn.load() function. The code hangs after several days of computation, and I've having trouble locating the problem. Can anyone decipher this info from the error report, and tell me if this is a problem in R64, or in the C code? Thanks very much in advance. A few hints: "pa" is the name of the C

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