1) No need to post multiple times to the list 2) use the is.na function to test if a value is missing, not == or !=
> -----Original Message----- > From: r-help-boun...@r-project.org [mailto:r-help-boun...@r-project.org] > On Behalf Of premmad > Sent: Friday, October 09, 2009 5:05 AM > To: r-help@r-project.org > Subject: Re: [R] Handling missing data > > > I have one column > x > 97 > 94 > 91 > 90 > NA > NA > NA > NA > I tried > i tried this > book$r<-ifelse(book$x!=NA,book$x+20,10) > expected result > 107 > 104 > 101 > 100 > 10 > 10 > 10 > 10 > > But got empty column of variable r.How to work with missing values of > numeric variables. > Why the numeric variable missing is assigned NA but not .,help in easy > work > for us. > -- > View this message in context: http://www.nabble.com/Handling-missing-data- > tp25539335p25818365.html > Sent from the R help mailing list archive at Nabble.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. ______________________________________________ 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.