You could try reading it in a chunk at a time and making a sparse matrix with SparseM, unless you really need some functionality of dataframes.
R Koenker > > dear R wizards: does R have the facilities to handle sparse data > frames? I am thinking of reading a data base like the daily CRSP data > into R, observations being firms, columns being days, data being stock > returns. but this will only fit into my memory if I can convince R to > not have to store missing observations, and to return NA upon read > access to missing observations. pointers appreciated. sincerely, /iaw > > ______________________________________________ > R-help@stat.math.ethz.ch mailing list > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide! > http://www.R-project.org/posting-guide.html > ______________________________________________ R-help@stat.math.ethz.ch mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html
