One possibility is to use a DBMS like MySQL or Postgresql, and RODBC to connect to these. Search the archives for previous postings about these, have a look at the first R-Newsletter and at Data Import-Export manual.
In a message dated 8/7/03 1:26:20 PM Eastern Daylight Time, [EMAIL PROTECTED] writes: > Dear R-users, > > I am faced with the problem of analyzing a huge dataset (+ 2 million > records, +150 variables) which does not fit into memory. I would like to > know if there are pre-packaged tools (in the spirit of Insigthful > I-Miner, for instance) aimed at subsampling or splitting the dataset > into data-frameable subdatasets, applying functions record-wise, etc. > > Thank you very much for your help. > > Carlos J. Gil Bellosta > Sigma Consultores Estad�sticos > http://www.consultoresestadisticos.com > [[alternative HTML version deleted]] ______________________________________________ [EMAIL PROTECTED] mailing list https://www.stat.math.ethz.ch/mailman/listinfo/r-help
