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... el on 2014-05-06, 09:41 Jeff Newmiller said the following: > In what format is this "growing" data stored? CSV? SQL? Log > textfile? You say you don't want to use sqldf, but you haven't > said what you do want to use. ______________________________________________ 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.