?scan is much faser. Also, read.table has a colClasses optional argument which can be used to speed up the reading of large files significantly. read.table has a pretty good help section well worth reading.
read.table(file, header = FALSE, sep = "", quote = "\"'", dec = ".", row.names, col.names, as.is = FALSE, na.strings = "NA", colClasses = NA, nrows = -1, skip = 0, check.names = TRUE, fill = !blank.lines.skip, strip.white = FALSE, blank.lines.skip = TRUE, comment.char = "#", allowEscapes = FALSE) 2006/2/14, Max Kauer <[EMAIL PROTECTED]>: > > Hi > it appears to me that read.table is very slow for reading large data files > (mine are 200,000 rows). Is there a better way? > Thanks! > Max > > -- > Maximilian O. Kauer, Ph.D. > Department of Genetics, White lab > 333 Cedar St, NSB 386 > PO Box 208005 > New Haven, CT 06510 > > ______________________________________________ > 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 > [[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