Hi Georg,
You could just use this:
Umsatz_2011<-c(1,2,3,4,5,NA,7,8,NA,10)
Kunde_2011<-rep(0:1,5)
Check_Kunde_2011<-
c("OK","Check")[as.numeric(is.na(Umsatz_2011) & Kunde_2011 == 1)+1]
Check_Kunde_2011 will be a vector of strings.
Jim
On Tue, Apr 26, 2016 at 6:09 PM, <g.maub...@weinwolf.de> wrote:
> 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
>
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PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
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