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. --------------------------------------------------------------------------- Jeff Newmiller The ..... ..... Go Live... DCN:<jdnew...@dcn.davis.ca.us> Basics: ##.#. ##.#. Live Go... Live: OO#.. Dead: OO#.. Playing Research Engineer (Solar/Batteries O.O#. #.O#. with /Software/Embedded Controllers) .OO#. .OO#. rocks...1k --------------------------------------------------------------------------- Sent from my phone. Please excuse my brevity.
On May 6, 2014 1:16:12 AM PDT, Eberhard Lisse <nos...@lisse.na> wrote: >Thank you. > >My requirements are that simple. One table, 11 fields, of which 3 are >interesting, 30 Million records, growing daily by between 300000. > >And, yes I have spent an enormous amount of time reading these things, >but for someone not dealing with this professionally and/or on a daily >basis, the documents don't help much. > >el > > >on 2014-05-04, 05:26 Jeff Newmiller said the following: >> ?table >> ?aggregate >> >> Also, packages plyr, data.table, and dplyr. You might consider >> reading [1], but if your interests are really as simple as your >> examples then the table function should be sufficient. That >> function is discussed in the Introduction to R document that you >> really should have read before posting here. >> >> [1] http://www.jstatsoft.org/v40/i01/ >[...] ______________________________________________ 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.