On Wed, 6 Jun 2007, Charles C. Berry wrote: > > Alex, > > See > > R Data Import/Export Version 2.5.0 (2007-04-23) > > search for 'large' or 'scan'. > > Usually, taking care with the arguments > > nlines, what, quote, comment.char > > should be enough to get scan() to cooperate. > > You will need around 1GB RAM to store the result, so if you are working on a
Oops. 23800*49*8 == 9329600 is more like 0.01GB, I guess. > machine with less, you will need to upgrade. Consider storing the result as a > numeric matrix. > > If any of those columns are long strings not needed in your computation, be > sure to skip over them. Read the 'Details' of the help page for scan() > carefully. > > Chuck > > > On Thu, 7 Jun 2007, ssls sddd wrote: > >> Dear list, >> >> I need to read a big txt file (around 130Mb; 23800 rows and 49 columns) >> for downstream clustering analysis. >> >> I first used "Tumor <- read.table("Tumor.txt",header = TRUE,sep = "\t")" >> but it took a long time and failed. However, it had no problem if I just >> put >> data of 3 columns. >> >> Is there any way which can load this big file? >> >> Thanks for any suggestions! >> >> Sincerely, >> Alex >> >> [[alternative HTML version deleted]] >> >> ______________________________________________ >> 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 >> and provide commented, minimal, self-contained, reproducible code. >> > > Charles C. Berry (858) 534-2098 > Dept of Family/Preventive Medicine > E mailto:[EMAIL PROTECTED] UC San Diego > http://biostat.ucsd.edu/~cberry/ La Jolla, San Diego 92093-0901 > > > Charles C. Berry (858) 534-2098 Dept of Family/Preventive Medicine E mailto:[EMAIL PROTECTED] UC San Diego http://biostat.ucsd.edu/~cberry/ La Jolla, San Diego 92093-0901 ______________________________________________ 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 and provide commented, minimal, self-contained, reproducible code.