Being a Stata user in transition to R I have to say that it would be fair to mention that data handling for large amounts of data might take an extra step in R.
I understand that there are good reasons for R consuming more memory (than Stata) when handling large datasets, but it is necessary to warn the potential newcomers that they might require using MySQL or other database managers if they use large datasets. greetings robert On 1/27/06, Patrick Burns <[EMAIL PROTECTED]> wrote: > You may recall that there was a discussion of a technical > report from the statistical consulting group at UCLA. > > I have a draft of a comment on that report, which you > can get from > http://www.burns-stat.com/pages/Flotsam/uclaRcomment_draft1.pdf > > I'm interested in comments: corrections, additions, deletions. > > Patrick Burns > [EMAIL PROTECTED] > +44 (0)20 8525 0696 > http://www.burns-stat.com > (home of S Poetry and "A Guide for the Unwilling S User") > > ______________________________________________ > [email protected] mailing list > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html > ______________________________________________ [email protected] mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html
