Suggestions... Post plain text (you reduce your own chances of getting feedback by failing to do this in your email program)
Provide sample data and code Buy more RAM use data.table package and fread load and analyze subsets of data Put the data into a database (e.g. sqlite?) If these suggestions seem brief, or even if they don't, please be more explicit in your question. Read [1] and [2]. [1] http://stackoverflow.com/questions/5963269/how-to-make-a-great-r-reproducible-example [2] http://adv-r.had.co.nz/Reproducibility.html -- Sent from my phone. Please excuse my brevity. On May 2, 2017 12:09:21 PM PDT, Amit Sengupta via R-help <r-help@r-project.org> wrote: >HI,I am unable to read a 2.4 gig file into a table (using read.table) >in a 64 bit R environment. Do you have any suggestions?Amit > > [[alternative HTML version deleted]] > >______________________________________________ >R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see >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. ______________________________________________ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see 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.
