Hi All, I need to evaluate missing values in my data. I am able to filter these values and do simple statistics on it. But I do need new variables based on variables with missing values in my dataset:
Check_Kunde_2011 <- ifelse(is.na(Umsatz_2011) == TRUE & Kunde_2011 == 1, 1, 0) Check_Kunde_2011 <- factor(Check_Kunde_2011, levels = c(1,0), labels = c("Check", "OK")) The new variable is not correctly created. It contains no values: table(Check_Kunde_2011) < table of extent 0 > I searched the web but could not find a solution. How can I work with variables and missing values in logical expressions? Where could I find something about this? Kind regards Georg ______________________________________________ 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.