Rprof causing R to crash
Hi Jim,
Could you be a little more explicit of what the error message is. On my Windows system 32-bit, I get the following:
Sorry - it just "stops" as per the message posted. The text is from eclipse.
Rprof() z <- 1 system.time(for (i in 1:1e8) z <- z + 1/i) Error: cannot allocate vector of size 381.5 Mb
Which is probably due to trying to allocate 1e8 elements of integers (400MB). Could you have a similar problem?
Shouldn't be. 400MB shouldn't be a problem on a 4GB machine? Just tried this with no problem on 2.15.0 on "Platform: x86_64-redhat-linux-gnu (64-bit)", so it looks to be particular to my setup on the mac. I also just tried 2.15.2 on the mac using the GUI and _not_ eclipse, It worked with no problem. Therefore, it seems that my issues are specific to R 2.15.2 (and R 2.14.0 prior to upgrade) running via StatEt's rj package (with no additional arguments.) I have a workaround now, and I guess this is no longer an issue for the wider group. Will post a link to the StatEt group. cheers Steven Now you could restructure your code to not allocate the large vector by: Rprof() z <- 1 i <- 0 system.time(while((i <- i + 1) < 1e8) z <- z + 1/i) z Rprof(NULL) Yes - the example is not related to my code, its just a way of recreating a similar error. I haven't posted my code that causes the error. Is there a reason that 400 MB should be a problem for RProf? My previous experience is that Rprof is stable with processes with much larger memory footprints. Hence why I think the for loop error might be related to the problems I'm having. Is there an alternative to Rprof? This is fairly crucial for me right now. Will try to get setup on cheers Steven
On Mon, Feb 4, 2013 at 7:48 AM, c97sr <sr@> wrote:
Am also having trouble with Rprof. I am using on R 2.15.2 on the Mac (Platform: x86_64-apple-darwin9.8.0/x86_64 (64-bit)). The example above without profiling takes around a minute to run:
z = 1 for (i in 1:1e8) z = z+1/i z
[1] 19.9979 With profiling:
Rprof() z = 1 for (i in 1:1e8) z = z+1/i
[INFO] Feb 4, 2013 12:45:20 PM - R stopped. Crashes within a second or so. This is consistent with the problem I'm having in my own code in which there is a reasonable amount of memory used (but not a massive amount). Any help much appreciated. Am happy to post this as a bug if that is now appropriate. regards Steven -- View this message in context: http://r.789695.n4.nabble.com/Rprof-causing-R-to-crash-tp4652846p4657482.html Sent from the R help mailing list archive at Nabble.com.
______________________________________________ R-help@ 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.
Jim Holtman Data Munger Guru What is the problem that you are trying to solve? Tell me what you want to do, not how you want to do it. ______________________________________________ R-help@ 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. -- View this message in context: http://r.789695.n4.nabble.com/Rprof-causing-R-to-crash-tp4652846p4657545.html Sent from the R help mailing list archive at Nabble.com.