similar to: sparse matrix, rnorm, malloc

I''m using acts_as_ferret and when I call Object.find_by_contents("A & B"), Ruby dies with the following message: ^Cruby(5014,0xa000cf60) malloc: *** vm_allocate(size=1069056) failed (error code=3) ruby(5014,0xa000cf60) malloc: *** error: can''t allocate region ruby(5014,0xa000cf60) malloc: *** set a breakpoint in szone_error to debug ruby(5014,0xa000cf60) malloc:

I am using the Openbase adapter and have had a similar glitch here and there, but after I go into production I consistently get an error on one page. ActionView::TemplateError (NoMemoryError: failed to allocate memory: SELECT * FROM ... I cannot track down the exact location of the error, but the production log says it was around:

Full_Name: Hans Kestler Version: 2.2.0 OS: 10.4.3 Submission from: (NULL) (84.156.184.101) > sam1.out<-sam(raw1[,2:23],raw1.cl,B=0,rand=124) We're doing 319770 complete permutations Error: cannot allocate vector of size 575586 Kb R(572,0xa000ed68) malloc: *** vm_allocate(size=589402112) failed (error code=3) R(572,0xa000ed68) malloc: *** error: can't allocate region

Dear R Experts, I am using R.app (the Mac OS X binary) for neuroimage analysis, so I am loading in some large image files. I get the following error in the middle of my script: > source("3dLME.R") Read 1 record Read 1 record Read 1 record Read 1 record Read 1 record Error: cannot allocate vector of size 3.1 Gb R(2081,0xa000d000) malloc: *** vm_allocate(size=3321675776) failed (error

Dear all, I am having a memory problem when analyzing a rather large data set with nested factors in R. The model is of the form X~A*B*(C/D/F) A,B,C,D,F being the independent variables some of which are nested. The problem occurs when using aov but also when using glm or lme. In particular I get the following response, Error: cannot allocate vector of size 1.6 Gb R(311,0xa000d000) malloc: ***

Hello, all, First thanks in advance for helping me. I am now handling a data frame, dimension 11095400 rows and 4 columns. It seems work perfect in my MAC R (Mac Pro, Intel Chip with 4G RAM) until I was trying to write this file out using the command: write.table(all,file="~/Desktop/alex.lgen",sep=" ",row.names=F,na="0",quote=F,col.names=F) I got the error

I want to do an unbalanced anova on 272,992 observations with 405 factors including 2-way interactions between 1 of these factors and the other 404. After fitting only 11 factors and their interactions I get error messages like: Error: cannot allocate vector of size 1433066 Kb R(365,0xa000ed68) malloc: *** vm_allocate(size=1467461632) failed (error code=3) R(365,0xa000ed68) malloc: ***

Hello, I have 2 servers I'm synchronizing using rsync, I have a situation where I : 1. rsync from rnd-dev2 to rnd-dev1 2. change the rsynched file on rnd-dev1 3. rsync from rnd-dev2 to rnd-dev1 again 4. File gets overridden on rnd-dev1 over though it has newer change time then file on rnd-dev2. here is the bug(?) reproduction: [root@rnd-dev1 test_rsync]# rsync --version rsync version

Hi there, We are trying to compile a 64bit version of R (2.5.1) on HP-UX (B.11.23 U ia64), but are running into some problems. This is our configure step: ../configure --prefix=/rnd/homes/lfan/R251 --enable-R-shlib CC="cc" CFLAGS="+z +DD64" CXX="aCC" CXXFLAGS="-b -lxnet +z +DD64" FC="f90" FCFLAGS="+DD64" F77="f90"

Benchmark shows small performance improvement on fusion io device. Before: seq-read : io=1,024MB, bw=19,982KB/s, iops=39,964, runt= 52475msec seq-write: io=1,024MB, bw=20,321KB/s, iops=40,641, runt= 51601msec rnd-read : io=1,024MB, bw=15,404KB/s, iops=30,808, runt= 68070msec rnd-write: io=1,024MB, bw=14,776KB/s, iops=29,552, runt= 70963msec After: seq-read : io=1,024MB, bw=20,343KB/s,

Benchmark shows small performance improvement on fusion io device. Before: seq-read : io=1,024MB, bw=19,982KB/s, iops=39,964, runt= 52475msec seq-write: io=1,024MB, bw=20,321KB/s, iops=40,641, runt= 51601msec rnd-read : io=1,024MB, bw=15,404KB/s, iops=30,808, runt= 68070msec rnd-write: io=1,024MB, bw=14,776KB/s, iops=29,552, runt= 70963msec After: seq-read : io=1,024MB, bw=20,343KB/s,

Full_Name: Eric Libby Version: 2.1.1 OS: OS Tiger Submission from: (NULL) (65.93.158.117) I am trying to analyze microarray data of 42 human arrays. I typed in the following instructions: library(affy) Data <-ReadAffy() eset <- expresso(Data, normalize.method="invariantset", bg.correct=FALSE, pmcorrect.method="pmonly",summary.method="liwong") And I get some

To anyone who can help, I have two stupid questions, and one fairly intelligent question Stupid question (1): is there an R function to calculate a factorial of a number? That is...is there a function g(.) such that g(3) = 6, g(4) = 24, g(6) = 720, etc? Stupid question (2): how do you extract the estimated covariance matrix of the random effects in an lme object? Intelligent question

Hi R usrs, I want to build R-2.10.0 on HP-UX, but I got following error message: ld: Unsatisfied symbol "zgemm" in file CHOLMOD.a[cholmod_l_super_numeric.o] ld: Unsatisfied symbol "zgemv" in file CHOLMOD.a[cholmod_l_super_solve.o] ld: Unsatisfied symbol "zherk" in file CHOLMOD.a[cholmod_l_super_numeric.o] ld: Unsatisfied symbol "ztrsm" in file

Hi, I recently ran into the problem that I needed a Siegel-Tukey test for equal variability based on ranks. Maybe there is a package that has it implemented, but I could not find it. So I programmed an R function to do it. The Siegel-Tukey test requires to recode the ranks so that they express variability rather than ascending order. This is essentially what the code further below does. After the

Dear List As a fairly new R programmer I seem to have run into a strange problem - probably my inexperience with R After reading and merging successive files into a single data frame, I find that order does not sort the data as expected. I have multiple references in each file but each file refers to measurement data obtained at a different time. Here's the code library(reshape) #

Is there a strong reason why this simple code: for(rnd = 0; rnd < Nrnd - 1; ++rnd) { // round(inv_rnd, b1, b0, kp); for (iter = 0; iter < 4; ++iter) { round_i(inv_rnd, b1, b0, kp, iter); } l_copy(b0, b1); kp -= nc; } Produces the complicated control flow logic in the attached CFG? If I unroll the loop I no

I''m using ferret (0.9.4) in rails, but outside of the "acts_as_ferret" plugin. Whenever I use a QueryFilter (even a very simple one), the server will crash after one, two, or three reloads of a page (same page, same query, same filter). It''s very non-deterministic and I can''t seem to reproduce it outside of my application environment (I can''t get it

I'm using the TSA package (along with all prerequisites) to do some GARCH work and for some reason, something which used to work for me has decided to up and stop. The code is as follows, after loading the package: " gs <- garch.sim(alpha=c(1.9,0.1), beta=c(0.700001, -0.0800003, -0.016),rnd = rnorm, n = 400, ntrans=500) gs1 <- garch.sim(alpha=c(1.9,0.1), beta=c(0.7, -0.08,

vhost-blk is an in-kernel virito-blk device accelerator. Due to lack of proper in-kernel AIO interface, this version converts guest's I/O request to bio and use submit_bio() to submit I/O directly. So this version any supports raw block device as guest's disk image, e.g. /dev/sda, /dev/ram0. We can add file based image support to vhost-blk once we have in-kernel AIO interface. There are