similar to: can't get names of R_env

Hello, I'm starting to write a C function that gets a list and a matrix from R. I'm using .Call because I've undertood that this is recommended to handle lists (am I wrong?). My problem is that I can pass the matrix as a vector, but not as a 2D array. For example, in the following simple C program: #include <R.h> #include <Rdefines.h> SEXP printListElement(SEXP list,

Dear R experts, I looked at the body of, say, `optim' function and found the call to the `.Internal', C optim function. It looks like this: .Internal(optim(par, fn1, gr1, method, con, lower, upper)) On the other hand, the C prototype of optim is: SEXP do_optim(SEXP call, SEXP op, SEXP args, SEXP rho); So, I guess that all the list of parameters passing in R are assigned to

There seems to be a latent flaw in the definition of struct SEXPREC in Rinternals.h, which likely doesn't cause problems now, but could if the relative sizes of data types changes. The SEXPREC structure contains a union that includes a primsxp, symsxp, etc, but not a vecsxp. However, in allocVector in memory.c, zero-length vectors are allocated using allocSExpNonCons, which appears to

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 developers, is it possible to create environments in C code of packages? Simply using SEXP env; PROTECT (env = allocSExp(ENVSXP)); and assigning the enclosing environment with SET_ENCLOS seems to be insufficient. Best wishes, Martin -- Dr. Martin Becker Statistics and Econometrics Saarland University Campus C3 1, Room 206 66123 Saarbruecken Germany

[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, 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, everyone. I'm trying to debug an R-module, written in C, and I'm using gdb for this. How can I print "standard" R objects from within C code? BTW, I'm familiar with the advice to use R_PV given in Writing R Extensions, but it's not working for me. E.g., I get (gdb) p R_PV(x) $1 = void and yet (gdb) p *x $2 = {sxpinfo = {type = 16, obj = 0, named = 0, gp = 0,

> hi all, > I am using optim. I am getting the following error message: > > Error in optim(par = start.vals[, h], fn = post.func.pois, gr = post.grad. > pois, : > L-BFGS-B needs finite values of fn > > If I look at optim typing '> optim' it seems that the error comes from > inside .Internal(optim), so I wonder how can I see the code for .Internal(

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,

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

In the optim() function there is a syntax : res <- .Internal(optim(par, fn1, gr1, method, con, lower, Here how can I see the inside-codes of ".Internal" function ? Regards, -- View this message in context: http://www.nabble.com/How-to-look-within-.Internal---tp20581897p20581897.html Sent from the R help mailing list archive at Nabble.com.

Hello, I'm working with the function optim() from stats package, and inside this function is called the function .Internal(optim(....)) and I want to get the code of this function which would help me to understand why the Nelder-Mead algorithm doesn't converge with my data. I'm working under Windows XP. Could you reply to this adress because I don't belong to the mailing list

Hi all, It seems that getAttr doesn't return "names" attribute properly as in getAttrib(x, R_NamesSymbol)); If you look at section 4.7.4 in "Writing R Extensions", the second example of SEXP out(SEXP, SEXP) returns NULL for the names attribute of the outer product. This is true for R 1.7.0 on both Win2000 with mingw and Redhat 9.0 with gcc. Is there something I am

On Fri, 5 Aug 2016, Winston Chang wrote: > 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

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:

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, I'm troubleshooting some native code on Windows that very occationally (and semi-randomly) crashes R. Already looked at "everything", I just want to double check that it is safe to UNPROTECT() allocated variables as soon as they are assigned to, say, a PROTECTed list. >From (R v2.3.0) Section 5.7.1 "Handling the effects of garbage collection" in "Writing R

Hi, My problem is about DNS names resolution in case there are two DNS servers separated by a VPN and one DNS domain name. Context: two Samba AD DC on each side of the VPN, one forest, one domain, one site, two subnets. Note that this target configuration is not yet operational since I'm trying to make the DSN names resolution work first through the VPN. The DNS servers are Samba internal