Re: [R] large data set, error: cannot allocate vector

From: Robert Citek <>
Date: Sat 06 May 2006 - 02:30:15 EST

Oops. I was off by an order of magnitude. I meant 10^7 and 10^8 rows of data for the first and second data sets, respectively.

On May 5, 2006, at 10:24 AM, Robert Citek wrote:
> R > foo <- read.delim("dataset.010MM.txt")
> R > summary(foo)
> X15623
> Min. : 1
> 1st Qu.: 8152
> Median :16459
> Mean :16408
> 3rd Qu.:24618
> Max. :32766

Reloaded the 10MM set and ran an object.size:

R > object.size(foo)
[1] 440000376

So, 10 MM numbers in about 440 MB. (Are my units correct?) That would explain why 10 MM numbers does work while 100 MM numbers won't work (4 GB limit on 32-bit machine). If my units are correct, then each value would be taking up 4-bytes, which sounds right for a 4- byte word (8 bits/byte * 4-bytes = 32-bits.)

 From Googling the archives, the solution that I've seen for working with large data sets seems to be moving to a 64-bit architecture. Short of that, are there any other generic workarounds, perhaps using a RDBMS or a CRAN package that enables working with arbitrarily large data sets?

- Robert
Help others get OpenSource software. Distribute FLOSS for Windows, Linux, *BSD, and MacOS X with BitTorrent mailing list PLEASE do read the posting guide! Received on Sat May 06 02:46:17 2006

Archive maintained by Robert King, hosted by the discipline of statistics at the University of Newcastle, Australia.
Archive generated by hypermail 2.1.8, at Sat 06 May 2006 - 06:10:03 EST.

Mailing list information is available at Please read the posting guide before posting to the list.