The sqldf package may be of help to you. Regards Søren
-----Oprindelig meddelelse----- Fra: r-help-boun...@r-project.org [mailto:r-help-boun...@r-project.org] På vegne af Albert-Jan Roskam Sendt: 16. december 2009 11:59 Til: r-help@r-project.org Emne: [R] R & very large files 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. ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [[alternative HTML version deleted]] ______________________________________________ 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.
