What I do is read the file in and then convert the various columns to numeric
x <- read.table(..., as.is=TRUE) col2cvt <- c('V1', 'V3','V6') # columns for conversion for (i in col2cvt){ x[[i]] <- as.numeric(gsub(",", "", x[[i]])) } Replace ',' with ' ' for blanks. On Tue, Jul 21, 2009 at 3:34 PM, christophe dutang<duta...@gmail.com> wrote: > Dear useRs, > > I was wondering how to deal with data where thousands separator is a space > or a comma? with google, I thought I found the answer but the thread ( > http://tolstoy.newcastle.edu.au/R/help/06/04/25524.html) just focuses on > decimal separator. > > Is there any function to numbers written like this in a csv file? > > Thanks in advance > > Christophe > > -- > Christophe DUTANG > Ph. D. student at ISFA > > [[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. > -- Jim Holtman Cincinnati, OH +1 513 646 9390 What is the problem that you are trying to solve? ______________________________________________ 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.