On 12/16/2009 11:59 AM, Albert-Jan Roskam wrote: > Hi, > > I very recently started using R (as in: last week) and I was wondering if > anyone could point me to website(s) with sample code to deal with large > datasets (length- and/or breadthwise). I understood that R was never designed > to work with datasets larger than, say, a couple of hundred Mb. One way is > (as I also read) to let R work in conjunction with SQL. That's one > interesting approach I'd like to know more about. But I was also hoping that > there also were pure R solutions for working with very large tables (was > 'scan' designed for that?). In any case, a standard approach would be > desirable. > > Thanks in advance. > > Cheers!! > Albert-Jan > > ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ > In the face of ambiguity, refuse the temptation to guess. > ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ >
See for example the "Large memory and out-of-memory data" section of the taskview "High-Performance and Parallel Computing with R" (pick a mirror on http://cran.r-project.org/mirrors.html then "Task Views" then "HighPerformanceComputing") Stephan ______________________________________________ R-help@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.
