My R crashes frequently when run with huge data. -- View this message in context: http://www.nabble.com/R-crashes-tp26110355p26110355.html Sent from the R help mailing list archive at Nabble.com.
And???? PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code. --- On Thu, 10/29/09, premmad <mtechprem at gmail.com> wrote:> From: premmad <mtechprem at gmail.com> > Subject: [R] R crashes > To: r-help at r-project.org > Received: Thursday, October 29, 2009, 6:13 AM > > My R crashes frequently when run? with huge data. > -- > View this message in context: http://www.nabble.com/R-crashes-tp26110355p26110355.html > Sent from the R help mailing list archive at Nabble.com. > > ______________________________________________ > R-help at r-project.org > mailing list > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide http://www.R-project.org/posting-guide.html > and provide commented, minimal, self-contained, > reproducible code. >__________________________________________________________________ Ask a question on any topic and get answers from real people. Go to Yahoo! Answers and share what you know at http://ca.answers.yahoo.com
On 29/10/2009, at 11:13 PM, premmad wrote:> > My R crashes frequently when run with huge data.Isn't that ***fascinating***!!! cheers, Rolf Turner ###################################################################### Attention:\ This e-mail message is privileged and confid...{{dropped:9}}
premmad wrote:> > My R crashes frequently when run with huge data. >I'm afraid this is nowhere near enough information for anyone on this list to provide any sort of meaningful insight. At the very least we need to know: * What operating system are you using? * Specifically, for "large data set" questions-- are you running a 32 or 64 bit operating system and how much RAM do you have? * What version of R are you running? * What does your data set look like and where does it come from? * How big is the data set? * How are you trying to read the data in? You don't need to provide the complete data set-- just a representational sample that someone interested in your problem could replicate into something of the appropriate size. This is very critical as it is very possible that the problem is arising from feeding R corrupted data rather than R simply choking because the data set is "too big". Without this information, the best you can hope for from this mailing list is silence or a flippant response. -Charlie ----- Charlie Sharpsteen Undergraduate Environmental Resources Engineering Humboldt State University -- View this message in context: http://www.nabble.com/R-crashes-tp26110355p26123323.html Sent from the R help mailing list archive at Nabble.com.
Windows XP 32 bit machine. allocated 2gb as memory for R 2.9.2 data will be 20mb and was running calculations on the data . but the r crashes with out any warning or so. -- View this message in context: http://old.nabble.com/R-crashes-tp26110355p26124740.html Sent from the R help mailing list archive at Nabble.com.
premmad wrote:> > Windows XP 32 bit machine. > allocated 2gb as memory for R 2.9.2 > data will be 20mb and was running calculations on the data . > but the r crashes with out any warning or so. >Ahh, well 20 MB is not huge data for R, so there should be no problem with processing it. The pertinent questions now are: * What does your data look like? A small representational sample will suffice, preferably something that can be copied out of an email and pasted into R. * What operations are you running when R crashes? In your first post you mentioned "R crashes frequently"-- does this happen with many different data sets, but the same operations? If you could provide us the data and functions that are being executed just prior to the crash, then we may be able to help. But without a reproducible example to test on our own machines, as suggested by the posting guide for this mailing list, there is really nothing we can do to help with your problem. -Charlie ----- Charlie Sharpsteen Undergraduate Environmental Resources Engineering Humboldt State University -- View this message in context: http://old.nabble.com/R-crashes-tp26110355p26132909.html Sent from the R help mailing list archive at Nabble.com.