Hello,

I'm working with a 22 GB datasets with ~100 million observations and ~40
variables. It's store in SQLite and I use the RSQLite package to load it
into memory. Loading the full population, even for only a few variables,
can be very slow and I was wondering if there are best practices for how to
manage large datasets when doing analysis in R. Is there an alternative
file format / relational datbase in which I should be storing the data?

Best,

James
-- 
James F. Mahon III, Ph.D. Candidate
Harvard University
Tel: (857) 209-8438
Fax: (270) 813-3498
Web: http://www.people.fas.harvard.edu/~jmahon/

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