Depending on how many rows you will delete, and if you know in advance which ones they are, one approach is to use the "skip" argument of read.table. If you only need a fraction of the total number of rows this will save a lot of RAM.
Mark Mark W. Kimpel MD ** Neuroinformatics ** Dept. of Psychiatry Indiana University School of Medicine 15032 Hunter Court, Westfield, IN 46074 (317) 490-5129 Work, & Mobile & VoiceMail (317) 204-4202 Home (no voice mail please) mwkimpel<at>gmail<dot>com ****************************************************************** Jorge Iván Vélez wrote: > Dear R-list, > > Does somebody know how can I read a HUGE data set using R? It is a hapmap > data set (txt format) which is around 4GB. After read it, I need to delete > some specific rows and columns. I'm running R 2.6.2 patched over XP SP2 > using a 2.4 GHz Core 2-Duo processor and 4GB RAM. Any suggestion would be > appreciated. > > Thanks in advance, > > Jorge > > [[alternative HTML version deleted]] > > ______________________________________________ > R-help@r-project.org mailing list > 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 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.
