... or in one step df <- transform(df, col1 = ifelse(col1 > 3, NA, col1))
-----Original Message----- From: [EMAIL PROTECTED] [mailto:[EMAIL PROTECTED] On Behalf Of K. Elo Sent: Friday, 15 February 2008 4:29 PM To: r-help@r-project.org Subject: Re: [R] data frame question Hi, joseph wrote (15.2.2008): > Thanks. I have another question: > In the following data frame df, I want to replace all values in col1 > that are higher than 3 with NA. df= data.frame(col1=c(1:5, NA),col2= > c(2,NA,4:7)) My suggestion: x<-df$col1; x[ x>3 ]<-NA; df$col1<-x; rm(x) -Kimmo ______________________________________________ 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.