On 8/21/2009 3:04 PM, David Winsemius wrote: > > On Aug 21, 2009, at 3:41 PM, Alexander Shenkin wrote: > >> Thanks everyone for their replies, both on- and off-list. I should >> clarify, since I left out some important information. My original >> dataframe has some numeric columns, which get changed to character by >> gsub when I replace spaces with NAs. > > If you used is.na() <- that would not happen to a true _numeric_ vector > (but, of course, a numeric vector in a data.frame could not have spaces, > so you are probably not using precise terminology).
I do have true numeric columns, but I loop through my entire dataframe looking for blanks and spaces for convenience. > You would be well > advised to include the actual code rather than applying loose > terminology subject you your and our misinterpretation. I did include code in my previous email. Perhaps you were looking for different parts. > > ?is.na > > > I am guessing that you were using read.table() on the original data, in > which case you should look at the colClasses parameter. > yep - I use read.csv, and I do use colClasses. But as I mentioned earlier, gsub converts those columns to characters. Thanks for the tip about is.na() <-. I'm now using the following, thus side-stepping the whole "controlling as.data.frame's column conversion" issue: final_dataf = lapply(final_dataf, function(x){ is.na(x) <- + grep('^\\s*$',x); return(x) }) ______________________________________________ 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.