Assuming it is a character variable test <- c("a", NA, "b") > test [1] "a" NA "b" > test[is.na(test)] <- " " > test [1] "a" " " "b"
but if it is numeric this as, as others have said, almost certainly not what you really wanted to do
On 17/02/2016 10:04, Jan Kacaba wrote:
In my original data a csv file I have missing values. If I use read.table the missing values are replaced by NAs. Is it possible to get object where missing values aren't replaced with NAs? Is it possible to replace NAs with empty space? [[alternative HTML version deleted]] ______________________________________________ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see 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.
-- Michael http://www.dewey.myzen.co.uk/home.html ______________________________________________ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see 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.