Thanks, tried all of that, too slow.
el on 2014-05-06, 12:00 Gabor Grothendieck said the following: > On Tue, May 6, 2014 at 5:12 AM, Dr Eberhard Lisse <e...@lisse.na> wrote: >> Jeff >> >> It's in MySQL, at the moment roughly 1.8 GB, if I pull it into a >> dataframe it saves to 180MB. I work from the dataframe. >> >> But, it's not only a size issue it's also a speed issue and hence >> I don't care what I am going to use, as long as it is fast. >> >> sqldf is easy to understand for me but it takes ages. If >> alternatives were roughly similar in speed I would remain with >> sqldf. >> >> dplyr sounds faster, and promising, but the intrinsic stuff is >> way beyond me (elderly Gynaecologist) on the learning curve... > > You can create indices in sqldf and that can speed up processing > substantially for certain operations. See examples 4h and 4i on > the sqldf home page: http://sqldf.googlecode.com. Also note that > sqldf supports not only the default SQLite backend but also MySQL, > h2 and postgresql. See ?sqldf for info on using sqldf with MySQL > and the others. > -- Dr. Eberhard W. Lisse \ / Obstetrician & Gynaecologist (Saar) e...@lisse.na / * | Telephone: +264 81 124 6733 (cell) PO Box 8421 \ / Bachbrecht, Namibia ;____/ ______________________________________________ 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.
