HI, Try this: set.seed(1) dat1<-data.frame(var1=c(rep(NA,3),1:3),var2=c(1:4,NA,5),var3=c(1:5,NA),var4=rnorm(6,15),var5=runif(6,0.2),var6=rep(NA,6)) dat1[rowSums(is.na(dat1[,c("var1","var2","var3")]))==0,] var1 var2 var3 var4 var5 var6 4 1 4 4 16.59528 0.5981594 NA
A.K. ----- Original Message ----- From: Eiko Fried <tor...@gmail.com> To: r-help@r-project.org Cc: Sent: Thursday, July 5, 2012 1:25 PM Subject: [R] Exclude missing values on only 1 variable Hello, I have many hundred variables in my longitudinal dataset and lots of missings. In order to plot data I need to remove missings. If I do > data <- na.omit(data) that will reduce my dataset to 2% of its original size ;) So I only need to listwise delete missings on 3 variables (the ones I am plotting). data$variable1 <-na.omit(data$variable1) does not work. Thank you [[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. Hi,Try this: ______________________________________________ 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.