Try this: #DF <- read.table(...) lapply(DF, function(col)col[!is.na(col)])
On Fri, Feb 12, 2010 at 9:31 AM, Amelia Livington <amelia_living...@yahoo.com> wrote: > Dear R helpers > > Suppose e.g. I have a csv file having three variables defined and each of > these variables have data items of say 40, 50, 45 length. When I open this > csv file in 'R', I get 10 trailing 'NA's under first column and 5 'NA' s in > case of 3rd column. > > How do I get rid of these NA's s.t. when I read the first column, there > should be only 40 data items, 2nd column should have only 50 data items and > last one should have 45 data items as in the original csv file. > > Thanking in advance > > Amelia > > > > > > [[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. > > -- Henrique Dallazuanna Curitiba-Paraná-Brasil 25° 25' 40" S 49° 16' 22" O ______________________________________________ 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.
