Hi Suresh, I think you will need to use read.table() rather than the read.csv() wrapper for it. Try:
input <- read.table(file = "padded.csv", sep = ",", header = TRUE, na.strings = NULL) HTH, Josh On Sat, Jul 17, 2010 at 10:47 PM, Suresh Singh <singh....@osu.edu> wrote: > I have a data file in which one of the columns is country code and NA is the > code for Namibia. > When I read the data file using read.csv, NA for Namibia is being treated as > null or "NA" > > How can I prevent this from happening? > > I tried the following but it didn't work > input <- read.csv("padded.csv",header = TRUE,as.is = c("code2")) > > thanks, > Suresh > > [[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. > -- Joshua Wiley Ph.D. Student, Health Psychology University of California, Los Angeles http://www.joshuawiley.com/ ______________________________________________ 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.