Are you running the 32-bit or 64-bit version of R? The 32-bit version
cannot allocate that much space; on Windows, the maximum contiguous space
that can ever be allocated in a 32-bit process is a little over 1Gbyte, on
Unix it's larger but cannot go over the 32-bit address space limit of
4Gbytes.
Dear R-Help members;
I have the following error messages when I would like to create
training and testing data for Random Forest.
Your help is highly appreciated.
Regards,
Greg
inTrain <- createDataPartition(a, p = 0.7, list = FALSE)
Error: cannot allocate vector of size 6.5 Gb
Hi all,
*Problem Description*
I encountered the *Error: cannot allocate vector of size 64.0 Mb* when I
was using read.zoo to convert a data.frame called 'origin' to zoo object
named 'target'
*About the Data Code*
My data frame(origin) contains 5340191 obs. of 3 variables[Data,
On 10.03.2015 04:16, 李倩雯 wrote:
Hi all,
*Problem Description*
I encountered the *Error: cannot allocate vector of size 64.0 Mb* when I
was using read.zoo to convert a data.frame called 'origin' to zoo object
named 'target'
*About the Data Code*
My data frame(origin) contains 5340191 obs. of
I dont think so. I removed all variables except for the data I was to use
and tried gc() to release some memories. But the error still happened.
Regards,
Jasmine
On 10 Mar, 2015 10:49 pm, Uwe Ligges lig...@statistik.tu-dortmund.de
wrote:
On 10.03.2015 04:16, 李倩雯 wrote:
Hi all,
*Problem
Dear R family,
I am trying to read a real large dataset in R (~ 2Gb). Its in binary format.
When i tried to read it by using following command
readBin(DAT.dat.nc, numeric(), n=9e8, size=4, signed=TRUE, endian='little')
I got the following error
Error: cannot allocate vector of size 5.2 Gb
I have
5.2 won't go into 4 but there may be more problems.
32-bit or 64 bit operating system?
RAM is cheap but will your motherboard support more than 4 GB?
And don't forget there are other processes that need to run while you are
using R.
Clint BowmanINTERNET:
Hello,
It is not the right way to read a NetCDF file (according to the
extension) in R. Please have a look at the ncdf4 package. The
raster package is also able to read this kind of files.
Regards,
Pascal
On Fri, Mar 21, 2014 at 1:25 AM, eliza botto eliza_bo...@hotmail.com wrote:
Dear R
I have a 70363 x 5 double matrix that I am playing with.
head(df)
GR SP SN LN NEUT
1 1.458543 1.419946 -0.2928088 -0.2615358 -0.5565227
2 1.432041 1.418573 -0.2942713 -0.2634204 -0.5927334
3 1.406642 1.418226 -0.2958296 -0.2652920 -0.6267121
4 1.382284
On Aug 22, 2013, at 7:39, Ben Harrison h...@student.unimelb.edu.au wrote:
I have a 70363 x 5 double matrix that I am playing with.
head(df)
GR SP SN LN NEUT
1 1.458543 1.419946 -0.2928088 -0.2615358 -0.5565227
2 1.432041 1.418573 -0.2942713 -0.2634204
On 22/08/13 21:57, Michael Weylandt wrote:
On Aug 22, 2013, at 7:39, Ben Harrison h...@student.unimelb.edu.au wrote:
No idea about the problem specifics but what are your OS and version of R? You
might be limited there.
I have 64-bit Ubuntu 12.04, R version 3.0.1.
More likely,
On 13-06-14 7:02 PM, Dan Keshet wrote:
I am using xtable version 1.7-1 built for R 3.0.1 on:
R version 3.0.1 (2013-05-16)
Platform: i686-pc-linux-gnu (32-bit)
Sometimes, not every time, when I load xtable or attempt to load the
help, I get an error such as this Error: cannot allocate vector of
I am using xtable version 1.7-1 built for R 3.0.1 on:
R version 3.0.1 (2013-05-16)
Platform: i686-pc-linux-gnu (32-bit)
Sometimes, not every time, when I load xtable or attempt to load the
help, I get an error such as this Error: cannot allocate vector of
size 1.9 Gb (Stacktrace from recover()
Hi Arun,
But I am using Windows(XP).
From: arun kirshna [via R]
[mailto:ml-node+s789695n4639435...@n4.nabble.com]
Sent: Tuesday, August 07, 2012 10:49 PM
To: Akkara, Antony (GE Energy, Non-GE)
Subject: Re: ERROR : cannot allocate vector of size (in MB GB)
HI,
If you are using
How is possible to split a .csv file in terms of size (in KiloByte) ?
-Original Message-
From: jim holtman [mailto:jholt...@gmail.com]
Sent: Tuesday, July 24, 2012 11:30 PM
To: Akkara, Antony (GE Energy, Non-GE)
Cc: r-help@r-project.org
Subject: Re: [R] ERROR : cannot allocate vector
Thank you Jim. Its working fine !.
Thanks a lot.
- Antony.
-Original Message-
From: jim holtman [mailto:jholt...@gmail.com]
Sent: Tuesday, July 24, 2012 11:30 PM
To: Akkara, Antony (GE Energy, Non-GE)
Cc: r-help@r-project.org
Subject: Re: [R] ERROR : cannot allocate vector of size
Hi,
Here in R, I need to load a huge file(.csv) , its size is 200MB. [may come
more than 1GB sometimes].
When i tried to load into a variable it taking too much of time and after
that when i do cbind by groups,
getting an error like this
Error: cannot allocate vector of size 82.4 Mb
My
try this:
input - file(yourLargeCSV, r)
fileNo - 1
repeat{
myLines - readLines(input, n=10) # 100K lines / file
if (length(myLines) == 0) break
writeLines(myLines, sprintf(output%03d.csv, fileNo))
fileNo - fileNo + 1
}
close(input)
On Tue, Jul 24, 2012 at 9:45 AM, Rantony
Sure, get more RAM. 2GB is a tiny amount if you need to load files of
1GB into R, and as you've discovered won't work.
You can try a few simpler things, like making sure there's nothing
loaded into R except what you absolutely need.
It looks like there's no reason to read the entire file into R
However, this wouldn't help much with Win XP, as this only allows for 2GB
(maximum of 3 GB):
http://cran.r-project.org/bin/windows/base/rw-FAQ.html#There-seems-to-be-a-limit-on-the-memory-it-uses_0021
If you want to use more RAM with windows you need to use a 64bit Version.
Cheers,
Henrik
Am
HI,
You can try like using dbLoad() from hash package to load. Also, if you need
to chunk the data, you can use ff package.
A.K.
- Original Message -
From: Rantony antony.akk...@ge.com
To: r-help@r-project.org
Cc:
Sent: Tuesday, July 24, 2012 9:45 AM
Subject: [R] ERROR : cannot
Hello:
While running R doing the analysis of my data I (using packages such as
BIOMOD or e1071) get the following error as a result of several of my
analysis:
Error: cannot allocate vector of size 998.5 Mb
In addition: Warning messages:
1: In array(c(rep.int(c(1, numeric(n)), n - 1L),
You probably have more objects in your workspace than you did
previously. Clean them out (or just use a new R session) and things
should go back to normal.
You might also want to follow up on the help(memory.size) hint though
-- doesn't Windows impose a memory limit unless you ask it for more?
As the error message suggests, see ?memory.size, and you'll find that the
problem is arising because R is running out of memory. If you were able to
run this analysis before, then one possible reason why it now fails is that
the workspace has increased in size in the interim - more objects and
On 09/22/2011 04:00 AM, R. Michael Weylandt
michael.weyla...@gmail.com wrote:
Are you running a 32bit or 64bit version of R? Type sessionInfo() to see.
Michael
...in addition, how large is your dataset? Please provide us with a self
contained example which reproduces this problem. You could
Michale and Paul
Thanks for your quick response.
Michael, I am running a 32bit version of R
sessionInfo()
R version 2.11.1 (2010-05-31)
i386-pc-mingw32
Paul, the dimension of the Data Frame with I am workis is
dim(d)
[1] 7017411
And the size of the file that contains the data is 2946
On Sep 22, 2011, at 5:00 PM, Mario Montecinos Carvajal wrote:
Michale and Paul
Thanks for your quick response.
Michael, I am running a 32bit version of R
sessionInfo()
R version 2.11.1 (2010-05-31)
i386-pc-mingw32
Paul, the dimension of the Data Frame with I am workis is
dim(d)
[1]
David
Thanks for the time that you spent in read and understand my mail, as well
as for your response and recomendations. I apologize if my attempt to put
comment in my code, not was enought.
I appreciate a lot your suggestion and I will take care of change the
variable name length for avoid
Paul
I tested your suggestion of use the BIGLM package. With this package, model
run with out any problem.
regards
2011/9/22 David Winsemius dwinsem...@comcast.net
On Sep 22, 2011, at 5:00 PM, Mario Montecinos Carvajal wrote:
Michale and Paul
Thanks for your quick response.
Michael,
Hi
I am a new user of the mail list.
Mi problem occurs when I try to test a lineal model (lm), becouse appear the
messaje Error: cannot allocate vector of size xxx
The data frame whit I am working, Have
dim(d)
[1] 7017411
and the function i am test is:
Are you running a 32bit or 64bit version of R? Type sessionInfo() to see.
Michael
On Sep 21, 2011, at 10:41 PM, Mario Montecinos Carvajal
mariomonteci...@gmail.com wrote:
Hi
I am a new user of the mail list.
Mi problem occurs when I try to test a lineal model (lm), becouse appear the
Thank you for replying. when I've tried to run the R syntax in a 64 bit
computer,the problem is solved. Thank you for helping out. I totally agree
your advice.
I would like to answer all your questions in case other people meet the same
problem. The data contains one timestamp column with time
Thank you Jeff. You are absolutely right. I just edited the R and computer
info in: R is 32 bit; computer is his computer is Windows XP, 32bit Intel(R)
Core(TM) e8...@3.ghz, 2.99GHz, 2.95GB of RAM.
The data I am trying to retrieve is through postgre from a university
server. I checked the
select count(*) from yourData
On Tue, Jun 28, 2011 at 3:07 PM, xin123620 chengxin@gmail.com wrote:
Thank you Jeff. You are absolutely right. I just edited the R and computer
info in: R is 32 bit; computer is his computer is Windows XP, 32bit Intel(R)
Core(TM) e8...@3.ghz, 2.99GHz, 2.95GB
Thank you Jholtman.
Now count is 46001902. I was trying to retrieve one-year data, but I still
receive the following message:
Error: cannot allocate vector of size 64.0 Mb
--
View this message in context:
http://r.789695.n4.nabble.com/Error-cannot-allocate-vector-of-size-tp3629384p3631354.html
Assuming that your column are numeric, you would need 4GB of memory
just to store one copy of the object. If this is 5 years, then you
would need almost 1GB for a copy, but the processing probably will use
up twice as much as it is processing. Try reading a month's worth and
see how much you
Dear R Users,
I was using R to import five years traffic data, but the error always come
up as shown below. The data frame contains 12 columns and unknown number of
records. Would you have any ideas that how I should deal with this
situation? Many thanks for any hints.
wim-sqlQuery(channel,qry)
A) You haven't mentioned your OS which indicates you haven't followed the
posting guide noted at the bottom of each email.
B) You cannot load an unknown number of rows... although you may not specify
the number, it is finite and its value can be determined for the purposes of
debugging your
Without more detailed information I would say that R runs out of
memory...and furthermore:
PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
cheers,
Paul
On 03/25/2011 11:32 PM, mipplor wrote:
i run
On 25.03.2011 23:32, mipplor wrote:
i run a model ,but i turn out to be like this. but i have run this model days
ago and it works well
whats going on here? any suggestion.
If it worked exactly the way before on the same machine, you probably
have too huge objects in your workspace.
Uwe
i run a model ,but i turn out to be like this. but i have run this model days
ago and it works well
whats going on here? any suggestion.
model1‐siarmcmcdirichletv4(data,sources,tef,concdep=0,50,5)
Error: cannot allocate vector of size 2.2 Gb
In addition: Warning messages:
1: In
On Tue, 23 Nov 2010, derek eder wrote:
Hello,
I am facing the dreaded Error: cannot allocate vector of size x Gb and
don't understand
enough about R (or operating system) memory management to diagnose and solve
the problem
-- despite studying previous posts and relevant R help -- e.g.:
Hello,
I am facing the dreaded Error: cannot allocate vector of size x Gb and
don't understand
enough about R (or operating system) memory management to diagnose and
solve the problem
-- despite studying previous posts and relevant R help -- e.g.:
Error messages beginning cannot allocate
On 23.11.2010 09:26, derek eder wrote:
Hello,
I am facing the dreaded Error: cannot allocate vector of size x Gb and
don't understand
enough about R (or operating system) memory management to diagnose and
solve the problem
-- despite studying previous posts and relevant R help -- e.g.:
Error
Thank you all for the suggestions. We do intend to get more RAM space.
Meanwhile I shall have a look at the ShortRead package features.
--
View this message in context:
http://r.789695.n4.nabble.com/Error-cannot-allocate-vector-of-size-X-0-Mb-tp2539031p2540518.html
Sent from the R help mailing
Hi,
I am working with a file (900MB in size) that has around 10 million records
(in particular FASTQ records).
I am able to read in the file as an object of BStringSet. When I start to
manipulate the data, after almost 4 hours, I get the error message as Error:
cannot allocate vector of size X.0
On Sep 14, 2010, at 9:09 AM, John1983 wrote:
Hi,
I am working with a file (900MB in size) that has around 10 million records
(in particular FASTQ records).
I am able to read in the file as an object of BStringSet. When I start to
manipulate the data, after almost 4 hours, I get the error
Yes I see.
So I typed as you mentioned and I get an 8 (therefore this is a 64-bit R).
Is there anything else I need to check to remove this error?
--
View this message in context:
http://r.789695.n4.nabble.com/Error-cannot-allocate-vector-of-size-X-0-Mb-tp2539031p2539078.html
Sent from the R
On 14.09.2010 16:47, John1983 wrote:
Yes I see.
So I typed as you mentioned and I get an 8 (therefore this is a 64-bit R).
Is there anything else I need to check to remove this error?
Yes: If the amount of RAM in your machine is sufficient
Best,
Uwe
On Sep 14, 2010, at 9:47 AM, John1983 wrote:
Yes I see.
So I typed as you mentioned and I get an 8 (therefore this is a 64-bit R).
Is there anything else I need to check to remove this error?
1. Add more RAM.
2. Depending upon what you are doing relative to data management/analysis,
On 09/14/2010 08:02 AM, Marc Schwartz wrote:
On Sep 14, 2010, at 9:47 AM, John1983 wrote:
Yes I see. So I typed as you mentioned and I get an 8 (therefore
this is a 64-bit R).
Is there anything else I need to check to remove this error?
1. Add more RAM.
2. Depending upon what you
2010/8/31 ëì¬ë dllm...@hanmail.net
Hi, All
I have a problem of R memory space.
I am getting Error: cannot allocate vector of size 198.4 Mb
You may want to check circle 2 of the R inferno (found here:
http://www.burns-stat.com/pages/Tutor/R_inferno.pdf).
[[alternative
Hi, All
I have a problem of R memory space.
I am getting Error: cannot allocate vector of size 198.4 Mb
--
I've tried with:
memory.limit(size=2047);
[1] 2047
memory.size(max=TRUE);
[1] 12.75
library('RODBC');
Hi,
On Mon, Aug 30, 2010 at 9:17 PM, 나여나 dllm...@hanmail.net wrote:
Hi, All
I have a problem of R memory space.
I am getting Error: cannot allocate vector of size 198.4 Mb
It's a RAM thing: you don't have enough.
The OS said nice try when R tried asked for that last 198.4 MB's of
I am dealing with very large data frames, artificially created with
the following code, that are combined using rbind.
a - rnorm(500)
b - rnorm(500)
c - rnorm(500)
d - rnorm(500)
first - data.frame(one=a, two=b, three=c, four=d)
second - data.frame(one=d, two=c, three=b, four=a)
On Thu, Aug 05, 2010 at 03:53:21AM -0400, Ralf B wrote:
a - rnorm(500)
Error: cannot allocate vector of size 38.1 Mb
When running memory.limit() I am getting this:
memory.limit()
[1] 2047
Which shows me that I have 2 GB of memory available. What is wrong?
Shouldn't 38 MB be very
Thank you for such a careful and thorough analysis of the problem and
your comparison with your configuration. I very much appreciate.
For completeness and (perhaps) further comparison, I have executed
'version' and sessionInfo() as well:
version
_
platform i386-pc-mingw32
Hi
I am not an expert in such issues (never really run into problems with
memory size).
From what I have read in previous posts on this topic (and there are
numerous) the simplest way would be to go to 64 byte system (Linux, W
Vista, 7), where size of objects is limited by amount of memory
On Aug 5, 2010, at 3:53 AM, Ralf B wrote:
I am dealing with very large data frames, artificially created with
the following code, that are combined using rbind.
snipped
When running memory.limit() I am getting this:
memory.limit()
[1] 2047
Which shows me that I have 2 GB of memory
Hi,
I am getting the following error while trying to run an R script:
Error: cannot allocate vector of size 31.8 Mb
I tried setting up memory.limit(), vsize, etc. but could not make it run.
My computer has following configurations:-
OS: Windows 7
Processor: Intel Core 2 Duo
RAM: 4GB
Thanks
An R script is apparently either working on a big dataset or wasting
memory. What script? What dataset? How much is your current memory
limit? How much did you try to increase it?
On Fri, Jun 18, 2010 at 7:20 PM, harsh yadav harsh.de...@gmail.com wrote:
PLEASE do read the posting guide
At first, I'd try with an R version from 2010 rather than one from 2007.
Next, I'd try to be sure to really have a 64-bit version of R rather
than a 32 bit one which is what I suspect.
Best,
Uwe Ligges
On 20.05.2010 20:10, Yesha Patel wrote:
I've looked through all of the posts about this
Hi!
Thanks for your reply! After running the command below I am certain I am
using a 64-bit R. I am running R through a linux cluster system where R is
globally available for all users. I have asked the system administrators if
they would update their version R but they are not receptive of
I've looked through all of the posts about this issue (and there are
plenty!) but I am still unable to solve the error. ERROR: cannot allocate
vector of size 455 Mb
I am using R 2.6.2 - x86_64 on a Linux x86_64 Redhat cluster system. When I
log in, based on the specs I provide [qsub -I -X -l
For me with ff - on a 3 GB notebook - 3e6x100 works out of the box even without
compression: doubles consume 2.2 GB on disk, but the R process remains under
100MB, rest of RAM used by file-system-cache.
If you are under windows, you can create the ffdf files in a compressed folder.
For the
Hi Peng,
the major problem about your specific case is that when creating the
final object, we need to set dimnames() appropriately. This triggers a
copy of the object and that's where you get the error you describe.
With the current release, unfortunately, there isn't much to do
(unless
On Wed, 11 Nov 2009, Larry Hotchkiss wrote:
Hi,
I'm responding to the question about storage error, trying to read a 300 x
100 dataset into a data.frame.
I wonder whether you can read the data as strings. If the numbers are all one
digit, each cell would require just 1 byte instead of
I'm trying to import a table into R the file is about 700MB. Here's my first
try:
DD-read.table(01uklicsam-20070301.dat,header=TRUE)
Error: cannot allocate vector of size 15.6 Mb
In addition: Warning messages:
1: In scan(file, what, nmax, sep, dec, quote, skip, nlines, na.strings, :
Reached
A little simple math. You have 3M rows with 100 items on each row.
If read in this would be 300M items. If numeric, 8 bytes/item, this
is 2.4GB. Given that you are probably using a 32 bit version of R,
you are probably out of luck. A rule of thumb is that your largest
object should consume at
OK, it's the simple math that's confusing me :)
So you're saying 2.4GB, while windows sees the data as 700KB. Why is that
different?
And lets say I could potentially live with e.g. 1/3 of the cases - that
would make it .8GB, which should be fine? But then my question is if there
is any way to
maiya wrote:
OK, it's the simple math that's confusing me :)
So you're saying 2.4GB, while windows sees the data as 700KB. Why is that
different?
700_MB_, I assume!
In a nutshell, a single column and a spacer takes 2 bytes per subject,
but a floating point variable takes 8, and R is not
Check out:
http://www.mail-archive.com/r-h...@stat.math.ethz.ch/msg79590.html
for sampling a large file.
On Tue, Nov 10, 2009 at 8:32 AM, maiya maja.zaloz...@gmail.com wrote:
OK, it's the simple math that's confusing me :)
So you're saying 2.4GB, while windows sees the data as 700KB. Why is
On Tue, 10 Nov 2009, maiya wrote:
OK, it's the simple math that's confusing me :)
So you're saying 2.4GB, while windows sees the data as 700KB. Why is that
different?
Your data are stored on disk as a text file (in CSV format, in fact), not as
numbers. This can take up less space.
And
Cool! Thanks for the sampling and ff tips! I think I've figured it out now
using sampling...
I'm getting a quad-core, 4GB RAM computer next week, will try it again using
a 64 bit version :)
Thanks for your time!!!
Maja
tlumley wrote:
On Tue, 10 Nov 2009, maiya wrote:
OK, it's the
On Fri, Nov 6, 2009 at 8:19 PM, Benilton Carvalho bcarv...@jhsph.edu wrote:
this is converging to bioc.
let me know what your sessionInfo() is and what type of CEL files you're
trying to read, additionally provide exactly how you reproduce the problem.
Here is my sessionInfo(). pname is
you haven't answered how much resource you have available when you try
reading in the data.
with the mouse exon chip, the math is the same i mentioned before.
having 8 GB, you should be able to read in 70 samples of this chip. if
you can't, that's because you don't have enough resources
Most of the 8GB was available, when I run the code, because R was the
only computation session running.
On Sat, Nov 7, 2009 at 7:51 AM, Benilton Carvalho bcarv...@jhsph.edu wrote:
you haven't answered how much resource you have available when you try
reading in the data.
with the mouse exon
ok, i'll take a look at this and get back to you during the week. b
On Nov 7, 2009, at 1:19 PM, Peng Yu wrote:
Most of the 8GB was available, when I run the code, because R was the
only computation session running.
On Sat, Nov 7, 2009 at 7:51 AM, Benilton Carvalho
bcarv...@jhsph.edu wrote:
Dear List,
today I turn to you with a next problem. I'm trying to compare species
richness between various datasets (locations) using species accumulation
curves (Chapter 4, page 54 in Tree diversity
analysishttp://www.worldagroforestry.org/treesandmarkets/tree_diversity_analysis.aspby
Kindt
Dear Roman,
could you give us the trace given by traceback() ? I suspect the error
is resulting from the permutations and/or jackknife procedure in the
underlying functions specaccum and specpool.
You can take a look at the package R.huge, but that one is deprecated
already. There are other
Hello joris,
this is the traceback() output. Hopefully you can make some sense out of it.
Thank you for the tips as well (R.huge looks promising)!
traceback()
7: vector(integer, length)
6: integer(nbins)
5: tabulate(bin, pd)
4: as.vector(data)
3: array(tabulate(bin, pd), dims, dimnames = dn)
2:
Hi Roman,
that throws a different light on the problem. It goes wrong from the
start, so it has little to do with the bootstrap or jackknife
procedures. R.huge won't help you either.
Likely your error comes from the fact that factor1 is not an
argument of the function accumcomp. the argument is
Hi Joris,
thanks for spotting that one. This little mistake has gotten in when I was
trying desperate things with the analysis (factor1 is used in diversitycomp).
Nevertheless, here is the result:
poacc2 - accumcomp(PoCom, y=PoEnv, factor=HM_sprem, method=exact)
Error in if (p == 1) { :
, check carefully which type of arguments are asked for,
and use the function str() to check if they really are what you think
they are.
Kind regards
Joris
-- Forwarded message --
From: romunov romu...@gmail.com
Date: Mon, Oct 12, 2009 at 3:14 PM
Subject: Re: [R] Error: cannot
R-helpers,
I thank Jonathan Greenberg and David Winsemius for their responses. I
will keep R64.app in mind but I found that by deleting some large
objects that I didn't need I was able to do my computations using R
2.9.1. (This is consistent with Winsemius's experiment on a 10GB
On Jul 1, 2009, at 4:43 PM, Jonathan Greenberg wrote:
By the way, you'll probably have to reinstall some or all of your
packages (and dependencies) if you are using R64.app, probably
downgrading them in the process.
--j
This really ought to be on the r-sig-mac list. I am copying that
Dear R-helpers,
I am running R version 2.9.1 on a Mac Quad with 32Gb of RAM running
Mac OS X version 10.5.6. With over 20Gb of RAM free (according to
the Activity Monitor) the following happens.
x - matrix(rep(0, 6600^2), ncol = 6600)
# So far so good. But I need 3
Steve:
Are you running R64.app? If not, grab it from here:
http://r.research.att.com/R-2.9.0.pkg
(http://r.research.att.com/ under Leopard build) .
As far as I know (and I actually just tried it this morning), the
standard R 2.9.1 package off the CRAN website is the 32 bit version,
By the way, you'll probably have to reinstall some or all of your
packages (and dependencies) if you are using R64.app, probably
downgrading them in the process.
--j
Steve Ellis wrote:
Dear R-helpers,
I am running R version 2.9.1 on a Mac Quad with 32Gb of RAM running
Mac OS X version
On Mon, 22 Dec 2008, iamsilvermember wrote:
dim(data)
[1] 2228319
dm=dist(data, method = euclidean, diag = FALSE, upper = FALSE, p = 2)
Error: cannot allocate vector of size 1.8 Gb
That would be an object of size 1.8Gb.
See ?Memory-limits
Hi Guys, thank you in advance for
What are you going to do with an agglomerative hierarchical clustering of
22283 objects? It will not be interpretible.
As a matter of fact I was ask to do a clustering analysis on gene
expression. Something
dim(data)
[1] 2228319
dm=dist(data, method = euclidean, diag = FALSE, upper = FALSE, p = 2)
Error: cannot allocate vector of size 1.8 Gb
Hi Guys, thank you in advance for helping. :-D
Recently I ran into the cannot allocate vector of size 1.8GB error. I am
pretty sure this is not a
I hope the following info will help, thanks again!
sessionInfo()
R version 2.7.1 (2008-06-23)
x86_64-redhat-linux-gnu
locale:
ram basnet wrote:
Dear R users,
I am using RandomForest package. While using this package, i got
Error: cannot allocate vector of size 117.3 Mb .message.
I had this problem earlier too but could not manage. Is there any way to solve
this problem or to increase
Dear R users,
I am using RandomForest package. While using this package, i got
Error: cannot allocate vector of size 117.3 Mb
.message.
I had this problem earlier too but could not manage. Is there any way to solve
this problem or to increase vector size ? My data set
Can you make the data.frame available somewhere. Actually, I am
surprised it need that huge amount of memory to do the plot.
Best,
Uwe Ligges
John wrote:
Hello,
I have read recent posts on this topic (Dr. Ronnen Levinson's Monday 02:39:55
pm), but before I install a 64 bit system, and
On Friday 28 March 2008 14:28, Daniel Nordlund wrote:
-Original Message-
From: [EMAIL PROTECTED] [mailto:[EMAIL PROTECTED]
On Behalf Of John
Sent: Friday, March 28, 2008 12:04 PM
To: r-help@r-project.org
Subject: [R] Error: cannot allocate vector of size 3.0 Gb
Hello,
I
:[EMAIL PROTECTED]
On Behalf Of John
Sent: Friday, March 28, 2008 12:04 PM
To: r-help@r-project.org
Subject: [R] Error: cannot allocate vector of size 3.0 Gb
Hello,
I have read recent posts on this topic (Dr. Ronnen Levinson's Monday
02:39:55 pm), but before I install a 64 bit system
Hello,
I have read recent posts on this topic (Dr. Ronnen Levinson's Monday 02:39:55
pm), but before I install a 64 bit system, and purchase more RAM, I want to
make sure I understand this interesting issue.
I was attempting to plot a data frame containing Dow Jones stock information:
Looks like you attach() the data frame before you try t/o plot. Note
that in the Details section of ?attach, it says:
... The database is not actually attached. Rather, a new environment is
created on the search path and the elements of a list (including columns
of a data frame) or objects in a
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