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.

Reply via email to