Displaying 20 results from an estimated 3000 matches similar to: "Help"
2000 Mar 17
2
Windows Memory
I'm sure this question is answered in the help file, but likely I'm not reading it corrected.
Running windows version 1.00.0, loading a table (35K rows by 10 columns) from Excel using the read.table command I receive the following message.
Error: cons memory (350000 cells) exhausted
See "help(Memory)" on how to increase the number of cons cells.
>From reading the
2001 Aug 22
1
Huge workspace cannot be opened
Hi everyone,
I have a problem that some people may have already encountered but i did not
find the solution yet.
As I use R to simulate several arrays of data, my workspace is now 35Mb big and
I cannot launch R with it.
An "xdr real data read error occured" and R tells me to delete .RData or
increase memory. I WON'T delete this file and changing the max-nsize to 40600k
did not
1999 Apr 27
2
Memory management
Dear all,
I don't get it:
First of all, the help doesn't say what are the memory limits of
R. Say, what's the max heap size for instance ????
Secondly, I invoke R with the following commands each time:
rgui --vsize 30M --nsize 1000K
rgui --vsize 30M --nsize 2000K
rgui --vsize 30M --nsize 3000K
rgui --vsize 30M --nsize 4000K
I try to open a matrix 8000x8000 by issuing
2001 Mar 01
3
How do you expand memory capability (Was: R crashes in Windows ME)
Hello-
Since my data bank in SPSS has > 40 variables, I think that R crashes because of the memory limit.
In Maindonald?s UsingR text, on pg 3, there?s a footnote that reads:
"If you want larger memory space than the default you may want a target akin to
<path to binary>\rw091\bin\rgui.exe --visize 30M --nsize 1000K
[The default is --vsize 6M --nsize 250K
2000 Aug 25
3
unexpected R crash - again
Sorry, but I lost this thread, so I sending this as a new message.
This is really a follow-up to a post from a couple days ago saying that
fisher.test from the ctest library crashed on the following data set:
> T
[,1] [,2]
[1,] 2 1
[2,] 2 1
[3,] 4 0
[4,] 8 0
[5,] 6 0
[6,] 0 0
[7,] 1 0
[8,] 1 1
[9,] 7 1
[10,] 8 2
[11,]
2001 Mar 21
3
memory allocation error
Hi,
I have recently installed R-1.2.2 for windows (16MB RAM, P-166) and I
getting the following message after processing my data (6 variables and
1200 observations):
>Error: cannot allocate vector of size 4 Kb
>In addition: Warning message:
>Reached total allocation of 15Mb: see help(memory.size)
Then, the program close.
With the last version, 1.1.1 (I think) I didn't have this
1999 Apr 12
3
--nsize and --vsize
Martin M has suggested I widen this discussion to R-devel, and
> I agree that we should increase them,
> but I'm not sure at all about the amount.
>
> The default could even depend on the architecture (via "./configure")..
Views, please.
------------- Begin Forwarded Message -------------
Is is not time we increased the defaults a bit? As the base gets bigger
I hit
2001 Apr 02
1
Run out of memory
I am trying to use R to cluster 7129 samples, my data set is a 7129 x 38 matrix, when I trying to get the distance matrix using function dist( ), the memory exhausted, and I tried to set the memory when I run R by
R --vsize=250M --nsize=1000k
no matter what I set for vsize the result is the same, it says:
Error: heap memory (256000kb) exhausted [need 198498Kb more]
1999 Nov 12
1
R-0.65.1 Startup
Dear R users,
I have noticed that my R startup is extremely slow. It takes almost 3
minutes from "double-click" to R prompt. I have been running R-0.64.1 till
recently and it took about 30 sec. I still have access to R-0.64.1. When I
started it up, it took about 25 sec. Can anyone tell me if this is a bug in
R or a problem with my machine?
Note: This is after bootup with R being the
2010 Jan 19
2
Server hanging despite efforts to correct memory limits
My group is working with datasets between 100 Mb and 1 GB in size, using
multiple log ins. From the documentation, it appears that vsize is limited
to 2^30-1, which tends to prove too restrictive for our use. When we drop
that restriction (set vsize = NA) we end up hanging the server, which
requires a restart. Is there any way to increase the memory limits on R
while keeping our jobs from
1999 May 15
2
vsize and nsize
I am running R version ??? under Redhat 5.2. It seems as though the
--nsize object has no effct on the size of the allocated Ncells as
determined using gc(). Yes, I have that much data....
That is if I envoke R with
R --vsize 100 --nsize 5000000
then type
gc()
I get
free total
Ncells 92202 200000
Vcells 12928414 13107200
Thanks
Tony Long
Ecology and Evolutionary Biology
Steinhaus
2000 Nov 09
3
maximum of nsize=20000k ??
Dear R-ers,
somehow it is not possible to increase nsize to more than
20000k. When I specify e.g.
> R --vsize=10M --nsize=21000K
the result is:
free total (Mb)
Ncells 99658 350000 6.7
Vcells 1219173 1310720 10.0
Maybe I have overlooked s.th....
Marcus
--
+-------------------------------------------------------
| Marcus Eger
| E-Mail: eger.m at gmx.de (NEW)
|
2000 Oct 02
3
R vs S-PLUS with regard to memory usage
I am trying to translate code from S-PLUS to R and R really struggles!
After starting R with the foll.
R --vsize 50M --nsize 6M --no-restore
on a 400 MHz Pentium with 192 MB of memory running Linux (RH 6.2),
I run a function that essentially picks up an external dataset with 2121
rows
and 30 columns and builds a lm() object and also runs step() ... the step()
takes forever to run...(takes very
2009 May 07
1
increasing memory for R bg job
Hi,
Is the following command used to increase the memory or any other command when a background R job is run?
R --min-vsize=vl --max-vsize=vu --min-nsize=nl --max-nsize=nu --max-ppsize=N
source:
http://stat.ethz.ch/R-manual/R-patched/library/base/html/Memory.html
Thx
Carol
[[alternative HTML version deleted]]
2000 Aug 17
2
R on os390
G'day R friends,
I didn't get any replies on the main list so I thought I'd try with the
experts.
I was wondering if anyone's ported R to os390. If so, are the vsize and
nsize limits the same as other platforms?
I could really annoy those SAS guys then.
thanks,
John Strumila
john.strumila@team.telstra.com
2009 Nov 30
1
allocating vector memory > 1 GByte on Windows XP / Vista / 7
Let me begin stating that I read all help files and faq's on the subject
matter (there aren't more than about a dozen) but either did not find
solutions or found them not to work.
Here is the issue. I am trying to run a spatial regression on a
medium-sized dataset. Part of the functions in the spdep package I use
require me to allocate a vector of 1.1 Gb (mine is not a spatial SIG
1999 Jun 15
2
ESS and R
For anybody who uses ESS with R, how do you invoke the vsize and nsize options
when you call R. I can't find any appropriate variables from an apropos.
Thanks,
Jord
--
Jordan Howarth CSIRO Mathematical and Information Sciences
mailto:jordan.howarth at cmis.csiro.au
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r-help mailing list -- Read
2001 Mar 12
4
1.2.2 under M$ windows 2000 lots of plots out of memory?
hi-
If I source the following
for(k in seq(1:20)){
x<-runif(20000,min=-500,max=2000)
y<-runif(20000,min=-500,max=2500)
z<-runif(20000,min=-10,max=10)
cat(k,"file",memory.size())
cc<-rainbow(11)
plot(x,y,asp=1i,xlim=c(-500,2000),ylim=c(-500,2500),main=k,cex=1.0)
for(i in seq(-10,10,2)){
points(x[z > i],y[z > i],col=cc[(12+i)/2],cex=1.0)
}
rm(x,y,z)
2005 Dec 20
1
Problems in batch mode
Dear R-users,
I am trying to run some simulations in batch mode. In an older version
of the program, I used
rterm --vsize=100M --nsize=5000K --restore --save <input file> output file,
however, in the new version R 2.2.0 , the parameters vsize and nsize are
ignored.
I can use the command memory.limit to increase memory, but I am not sure if
this corresponds to vsize and nsize.
2005 Jun 29
3
Memory Management under Linux: Problems to allocate large amounts of data
Dear Group
I'm still trying to bring many data into R (see older postings). After solving some troubles with the database I do most of the work in MySQL. But still I could be nice to work on some data using R. Therefore I can use a dedicated Server with Gentoo Linux as OS hosting only R. This Server is a nice machine with two CPU and 4GB RAM which should do the job:
Dual Intel XEON 3.06 GHz