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
______________________________________________
[email protected] 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.