search for: 786432

...a, gc() only seem to reflect the space needed for a vector of pointers to char, the space used for the character data itself is ... hidden!? Here the data: I have 6 MB heap, and can do > x <- rep(1, 350000); gc(); rm(x); gc() free total (Mb) Ncells 61034 250000 4.8 Vcells 350955 786432 6.0 free total (Mb) Ncells 61036 250000 4.8 Vcells 700956 786432 6.0 which is using about 2.67 MB RAM for double numbers. Trying for 3.05 MB fails (well, rep() obviously needs twice the memory, x <- double(700000) works) > x <- rep(1, 400000); gc(); rm(x); gc() Error: heap...

Dear all, I am working on a 64 bits Linux system. I issue the following R commands: > rm(list=ls()) # To remove all objects in the workspace. > gc() # To free memory. used (Mb) gc trigger (Mb) max used (Mb) Ncells 124250 6.7 350000 18.7 350000 18.7 Vcells 124547 1.0 786432 6.0 476934 3.7 > gc() # I had to do it again, don't know why! used (Mb) gc trigger (Mb) max used (Mb) Ncells 124257 6.7 350000 18.7 350000 18.7 Vcells 124574 1.0 786432 6.0 476934 3.7 > gc() # Just to be sure things have stabilized. used (Mb) gc trigger (Mb) max used (Mb) Ncells 124257...

...Type 'demo()' for some demos, 'help()' for on-line help, or 'help.start()' for an HTML browser interface to help. Type 'q()' to quit R. > gc() used (Mb) gc trigger (Mb) max used (Mb) Ncells 178186 4.8 407500 10.9 350000 9.4 Vcells 73112 0.6 786432 6.0 333585 2.6 > # take the information in the .csv files created from the emails > setwd("C:/Documents and Settings/c_oriordain_s/My Documents/pasip/mms/mms_emails") > > # the input file from Amdocs (as supplied by revenue assurance) > amdocs_csv_filename <- "a...

...ied increasing memory.limit() and memory.size(max=TRUE), but nothing. Just before the command: > memory.size(max=TRUE) [1] 13.4375 > memory.limit() [1] 1535.875 > gc() used (Mb) gc trigger (Mb) max used (Mb) Ncells 209552 5.6 407500 10.9 350000 9.4 Vcells 125966 1.0 786432 6.0 496686 3.8 > I increased the memory limit: > memory.limit(3000) NULL > memory.limit() [1] 3000 > memory.size() [1] 11.33070 > memory.size(max=TRUE) [1] 13.4375 > gc() used (Mb) gc trigger (Mb) max used (Mb) Ncells 209552 5.6 407500 10.9 350000 9.4 Vcel...

I came across this in a simulation I ran under 1.6.0: If I do something like R> x <- rnorm(10) R> rval <- NULL R> for(i in 1:100000) rval <- t.test(x)$p.value then the process size remains at about 14M under 1.5.1, but it seems to be almost linearly growing up to more than 100M under 1.6.0. I know that the above simulation is nonsense, but it was the simplest I could come up

...I issue the following R commands: >> > rm(list=ls()) # To remove all objects in the workspace. >> > gc() # To free memory. >> used (Mb) gc trigger (Mb) max used (Mb) >> Ncells 124250 6.7 350000 18.7 350000 18.7 >> Vcells 124547 1.0 786432 6.0 476934 3.7 >> > gc() # I had to do it again, don't know why! >> used (Mb) gc trigger (Mb) max used (Mb) >> Ncells 124257 6.7 350000 18.7 350000 18.7 >> Vcells 124574 1.0 786432 6.0 476934 3.7 >> > gc() # Just to be sure things...

...ctions, even if I need only one: myf.all<-function(x){ list(mean=mean(x), max=max(x), sum=sum(x)) } > gc();system.time(for(i in 1:10000)myf.all(1:20)) used (Mb) gc trigger (Mb) max used (Mb) Ncells 165659 4.5 350000 9.4 350000 9.4 Vcells 61135 0.5 786432 6.0 283043 2.2 [1] 0.90 0.00 1.08 NA NA > gc();system.time(for(i in 1:10000)myf(FUN="mean",1:20)) used (Mb) gc trigger (Mb) max used (Mb) Ncells 165659 4.5 350000 9.4 350000 9.4 Vcells 61135 0.5 786432 6.0 283043 2.2 [1] 1.14 0.00 1.40 NA N...

...increasing, but vcpu.0.time is not. It's also not reporting a vcpu.0.wait on this centos hypervisor.  # virsh domstats Domain: '3a1de3d0-9de3-4876-a51a-1337d2ad0b87' state.state=1 state.reason=5 cpu.time=18530581887 cpu.user=430000000 cpu.system=2910000000 balloon.current=786432 balloon.maximum=786432 vcpu.current=1 vcpu.maximum=1 vcpu.0.state=1 vcpu.0.time=1145240000000 # virsh domstats Domain: '3a1de3d0-9de3-4876-a51a-1337d2ad0b87' state.state=1 state.reason=5 cpu.time=18530581887 cpu.user=430000000 cpu.system=2910000000 balloon.current=7864...

...nt=obj,add1=add1,add2=add2,type=type) } S4vector <- function(vec,...){ new("S4content",type="vector",content=vec,...) } ### Now the test > test <- rnorm(10000) > gc() used (Mb) gc trigger (Mb) Ncells 169135 4.6 531268 14.2 Vcells 75260 0.6 786432 6.0 > (system.time(lapply(test,S3vector))) [1] 0.17 0.00 0.19 NA NA > gc() used (Mb) gc trigger (Mb) Ncells 169136 4.6 531268 14.2 Vcells 75266 0.6 786432 6.0 > (system.time(lapply(test,S4vector))) [1] 15.08 0.00 15.13 NA NA ----- There is here a facto...

...rified that I don't have any objects in memory when R starts up, and that memory limits are set to NA. Here is some output: > ls() character(0) > mem.limits() nsize vsize NA NA > gc() used (Mb) gc trigger (Mb) Ncells 432197 11.6 531268 14.2 Vcells 116586 0.9 786432 6.0 > v<-rep(0,268435431) Error: cannot allocate vector of size 2097151 Kb > v<-rep(0,268435430) > object.size(v) [1] 2147483468 > gc() used (Mb) gc trigger (Mb) Ncells 432214 11.6 741108 19.8 Vcells 268552029 2048.9 268939773 2051.9 Does R have a li...

I am trying to figure out R data types and/or storage mode. For example: > #From a clean workspace > gc() used (Mb) gc trigger (Mb) Ncells 415227 11.1 597831 16 Vcells 103533 0.8 786432 6 > x <- seq(0,100000,1) > is.integer(x) [1] FALSE > is.double(x) [1] TRUE > object.size(x) [1] 800036 > gc() used (Mb) gc trigger (Mb) Ncells 415247 11.1 667722 17.9 Vcells 203543 1.6 786432 6.0 > x <- as.integer(x) > is.integer(x) [1] TRUE >...

Hi: I have two matrices, A and B, where A is n x k, and B is m x k, where n >> m >> k. Is there a computationally fast way to count the number of times each row (a k-vector) of B occurs in A? Thanks for any suggestions. Best, Ravi. [[alternative HTML version deleted]]

...d work with 2 variables but it seems not possible: R : Copyright 2005, The R Foundation for Statistical Computing Version 2.2.1 (2005-12-20 r36812) ISBN 3-900051-07-0 > gc() used (Mb) gc trigger (Mb) max used (Mb) Ncells 169011 4.6 350000 9.4 350000 9.4 Vcells 62418 0.5 786432 6.0 289957 2.3 > memory.limit(size=4090) NULL > memory.limit() [1] 4288675840 > system.time(a<-matrix(runif(1e6),nrow=1)) [1] 0.28 0.02 2.42 NA NA > gc() used (Mb) gc trigger (Mb) max used (Mb) Ncells 171344 4.6 350000 9.4 350000 9.4 Vcells 1063212 8.2...

Hi Folks, The inspiration for this query is described below, but it prompts a general question: If one wants to use only one or a few functions from a library, is there a way to load only these, without loading the library, short of going into the package source and extracting what is needed (including of course any auxiliary functions and compiled code they may depend on)? What prompted this

I have many very large dataframes with 20 columns each. In order to conserve memory, I wish to separate the data frame into 20 vectors, each named the name of the dataframe followed by .1,.2,.3 .20. (For example purposes, one data frame is named ?testa?.) e.g. testa.1, testa.2, testa.3 I have written the code to do this (see below). I am trying to convert this into a function that I can reuse.

...via SYSLINUX a initrd file. My syslinux.cfg on a loop device contains the following: === 8< === default linux prompt 1 timeout 1 display boot.msg F1 boot.msg F2 options.msg F3 general.msg F4 param.msg F5 rescue.msg F7 snake.msg label linux kernel vmlinuz append initrd=initrd.img ramdisk_size=786432 ks=file:/ks.cfg \ console=tty1 console=ttyS0,57600 === 8< === my initrd is 535M big, and is comopressed with grzip -9. The initrd tried to load on startup but later after some points it stops loading and seems to hang. So my Question is - How big can be a initrd for syslinux? Thanks in advanc...

...gt; scatter.smooth(Na, S) Warning message: k-d tree limited by memory. ncmax= 200 I haven't used scatter.smooth much but when I have, I haven't seen this message before. gc() returns > gc() used (Mb) gc trigger (Mb) Ncells 417693 11.2 667722 17.9 Vcells 103949 0.8 786432 6.0 This is on a Win XP box with 512 MB RAM, with plenty of space still available (Task Manager Reports 216 MB of RAM and pagefile in use). I have looked through the help files for loess and loess.control but didn't see anything about ncmax. Can someone explain why I might be getting thi...

I am getting "Error: cannot allocate vector of size 197 MB". I know that similar problems were discussed a lot already, but I didn't find any satisfactory answers so far! Details: *** I have XP (32bit) with 4GB ram. At the time when the problem appeared I had 1.5GB of available physical memory. *** I increased R memory limit to 3GB via memory.limit(3000) *** I did gs() and got

...here is a comparison of time and memory for loading all the environments (hash tables) in Bioconductor's GO annotation data package. ## unpatched > gc() used (Mb) gc trigger (Mb) max used (Mb) Ncells 168891 9.1 350000 18.7 350000 18.7 Vcells 115731 0.9 786432 6.0 425918 3.3 > library("GO") > system.time(for (e in ls(2)) get(e)) user system elapsed 51.919 1.168 53.228 > gc() used (Mb) gc trigger (Mb) max used (Mb) Ncells 17879072 954.9 19658017 1049.9 18683826 997.9 Vcells 31...

...ons to me and excuse me because i am a newbie. Here the default information for the 64bit os: > sessionInfo() R version 2.7.1 (2008-06-23) x86_64-redhat-linux-gnu > gc() used (Mb) gc trigger (Mb) max used (Mb) Ncells 137955 7.4 350000 18.7 350000 18.7 Vcells 141455 1.1 786432 6.0 601347 4.6 I tried also to start R using the options to control the available memory and the result still the same. or maybe i don't assign the correct values. Thank you in advance. -- Rami BATAL [[alternative HTML version deleted]]