R 's ability to work with large data sets is limited on PC. I am trying it on cloud to overcome this but need help from other programmers.
Also tutorials would help to newbies regards, Ajay On Mon, Aug 25, 2008 at 6:42 PM, ivo welch <[EMAIL PROTECTED]> wrote: > Dear R wizards: > > I decided to take the advice in the R data import/export manual and > want to learn how to work with SQL for large data sets. I am trying > SQLite with the DBI and RSQLite database interfaces. Speed is nice. > Alas, I am struggling to find a tutorial that is geared for the kind > of standard operations that I would want in R. Simple things: > > * how to determine the number of rows in a table. (Of course, I > could select a row of data and then use this.) > > * how to insert a new column into my existing SQL table---say, the > rank of another variable---and save it back. Am I supposed to create > a new data frame, then save it as a new table, then delete the old SQL > table? > > * how to save a revised version of my table in a different sort order > (with or without deleting the original table). <-- I guess this is > not appropriate, as I should think of SQL tables as unordered. > > I guess these would make nice little text snippets in the R Data > import/export manual, too. help appreciated. > > regards, > > /ivo > > ______________________________________________ > 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. > -- Regards, Ajay Ohri http://tinyurl.com/liajayohri ______________________________________________ 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.
