similar to: R memory limits on table(x, y) (and bigtabulate)

Sorry, don't know enough to give you trustworthy answers, but I can say that crashes due to (or linked to) packages should usually be reported to the package maintainer, who can be found by the ?maintainer function. That person may not monitor this list. Cheers, Bert Bert Gunter "The trouble with having an open mind is that people keep coming along and sticking things into it."

I have a large file backed big. matrix, with millions of rows and 20 columns. The columns contain data that I simply need to tabulate. There are a few dozen unique values. and I just want a frequency count Test code with a small "big" matrix. library(bigmemory) library(bigtabulate) test <- big.matrix(nrow = 100, ncol = 10) test[,1:3]<- sample(150) test[,4:6]<-

Hi all I have problems in accessing a mer object called model.01 from a workspace that was created with R 2.8.1 and saved with save into an .RData file (on Windows XP or Ubuntu 8.10, don't remember anymore). Now I want to open it in R 2.9.0 on Ubuntu 8.10. I use # load workspace load("name.RData") which seems to work: ls() # all objects in there [1] "all"

Hi all, SETUP: I have pairwise data on 22 chromosomes. Data matrix X for a given chromosome looks like this: 1 13 58 1.12 6 142 56 1.11 18 307 64 3.13 22 320 58 0.72 Where column 1 is person ID 1, column 2 is person ID 2, column 3 can be ignored, and column 4 is how much chromosomal sharing those two individuals have in some small portion of the chromosome. There are 9000 individual people, and

We have a PostgreSQL table with about 400000 records in it. Using either RODBC or RdbiPgSQL, what is the fastest way to update one (or a few) column(s) in a large collection of records? Currently we're sending sql like BEGIN UPDATE table SET col1=value WHERE id=id (repeated thousands of times for different ids) COMMIT and this takes hours to complete. Surely there must be a quicker

Hello, I get a crash in my program that uses exceptions and the LLVM JIT, even though the exceptions are controlled and thrown/catched in a part that doesn't deal with LLVM. I noticed that llvm-config --cxxflags includes the -fno-exceptions flag. Do I need to throw no exceptions whatsoever in my application to use LLVM JIT? As a minimal example, I modified the code in

gmake[1]: Entering directory `/home/ryan/llvm/llvm_core/trunk/lib/VMCore' llvm[1]: Building Intrinsics.gen.tmp from Intrinsics.td terminate called after throwing an instance of 'std::bad_alloc' what(): std::bad_alloc 0 llvm-tblgen 0x000000000058525f 1 llvm-tblgen 0x0000000000585719 2 libpthread.so.0 0x00002b05a7801c60 3 libc.so.6 0x00002b05a83ead05 gsignal + 53 4

ulimit -s = 8192 set "ulimit -c unlimited" On Tue, Sep 11, 2012 at 3:03 PM, Ryan Taylor <ryta1203 at gmail.com> wrote: > John, > > Thanks for responding. No, I don't see a limit from ulimit. It's > definitely with the tblgen though, I have the same errors trying to compile > clang. > > > On Tue, Sep 11, 2012 at 2:57 PM, John Criswell

On 9/11/12 4:53 PM, Ryan Taylor wrote: > Tried a fresh checkout with the same issue. I'm assuming this issue > must be on my end. Dumb question: do you have a restrictive ulimit setting that might cause the tblgen program to run out of memory? I tend to doubt that this is the case, but it'd be good to double check. -- John T. > > ---------- Forwarded message ----------

Hi, On Sun, Aug 3, 2008 at 11:42 PM, Chris Lattner <clattner at apple.com> wrote: > > On Aug 3, 2008, at 7:54 AM, Mahadevan R wrote: > >> Hi, >> >> Just wondering -- shouldn't all (C linkage) functions exposed by >> LLVM-C (and written in C++) be catching std::exception (or "...") to >> prevent exceptions being passed on to C callers?

Usually it is the ones that end in ".inc". From: llvmdev-bounces at cs.uiuc.edu [mailto:llvmdev-bounces at cs.uiuc.edu] On Behalf Of Ryan Taylor Sent: Tuesday, September 11, 2012 3:12 PM To: John Criswell Cc: llvmdev at cs.uiuc.edu Subject: Re: [LLVMdev] Fwd: Build Error from Intrinsics.td What files are created by the TableGen so that I can clean them out and start fresh? On Tue, Sep

Tried a fresh checkout with the same issue. I'm assuming this issue must be on my end. ---------- Forwarded message ---------- From: Ryan Taylor <ryta1203 at gmail.com> Date: Tue, Sep 11, 2012 at 1:28 PM Subject: Build Error from Intrinsics.td To: llvmdev at cs.uiuc.edu gmake[1]: Entering directory `/home/ryan/llvm/llvm_core/trunk/lib/VMCore' llvm[1]: Building Intrinsics.gen.tmp

Buenas, Tengo un problema y es que intentando conectarme a una base de datos SQL Server, tras cosneguirme conectarme usando el paquete odbc, me deja acceder al contenido de algunas tablas (mediante un select), pero sin embargo en otras me pone lo siguiente: Error in new_result(connection en ptr, statement) : std::bad_alloc No entiendo muy bien porque me salta ese error, ya que desde SQL si

John, Thanks for responding. No, I don't see a limit from ulimit. It's definitely with the tblgen though, I have the same errors trying to compile clang. On Tue, Sep 11, 2012 at 2:57 PM, John Criswell <criswell at illinois.edu>wrote: > On 9/11/12 4:53 PM, Ryan Taylor wrote: > > Tried a fresh checkout with the same issue. I'm assuming this issue must > be on my

Hi Philip, > If I'm reading you correctly, you are relying on exception propagation > and handler (destructors for local objects) execution. You have chosen > not to add extra exception logic to LLVM itself, but are relying on the > correctness of exception propagation within the code. (The last two > sentances are intended to be a restatement of what your message said.

Thanks! I went through the online posts which supports the power of .Call over .C. But my probably naive question is why does this work for my code with R but not R-devel? And another question is related to using .Call. Based on the manual page, I do not need to change the function parameters when using .Call. So I can run like this: .Call("sppedUp", D, S, pD, pS, nrow(D), as.integer(N),

Hi, I have a gene expression experiment with 20 samples and 25000 genes each. I'd like to perform clustering on these. It turned out to become much faster when I transform the underlying matrix with t(matrix). Unfortunately then I'm not anymore able to use cutree to access individual clusters. In general I do something like this: hc <- hclust(dist(USArrests), "ave")

Here's another question. It's failing on a clean checkout, so what does llvm use from a previous install that I would need to clean when installing a new clean checkout? On Tue, Sep 11, 2012 at 3:27 PM, Villmow, Micah <Micah.Villmow at amd.com>wrote: > Usually it is the ones that end in ".inc".**** > > ** ** > > *From:* llvmdev-bounces at cs.uiuc.edu

I have several linear models on the same data: m1 <- lm(y ~ poly(x,1)) m2 <- lm(y ~ poly(x,2)) m3 <- lm(y ~ poly(x,3)) What I don't understand is why anova(m1, m2, m3, test="F") - yields the same RSS and SS values, but a different p-value from anova(m1, m2, test="F") - when it also yields the SAME as anova(m2, m3, test="F") What am I missing? Rob

Hi all Is there going to be a binary of R 2.8.0 for Ubuntu Intrepid Ibex i386 - i.e., not just amd 64bit? Thx, RZ [[alternative HTML version deleted]]