[R] Antwort: RE: Missing Values in Logical Expressions

[G.Maubach at weinwolf.de]

Hi Petr,
Hi Jim,

many thanks for your help. Today I constructed a sample dataset and tested 
your suggestions. Everything worked OK.

Then I took the code and testet on the original data. And - it worked OK 
this morning also.

I went back to my script of Thuesday and ran it again. OK. Then I used my 
script of Monday and ran it.. OK.

I have no idea what was wrong yesterday. To see that there is a problem 
and not being able to replicate it a day later even if it did not work all 
day before is very strange.

If the problem arises again, I will raise my hand.

Many thanks again for your help.

Kind regards

Georg




Von:    PIKAL Petr <petr.pikal at precheza.cz>
An:     "G.Maubach at weinwolf.de" <G.Maubach at weinwolf.de>, 
"r-help at r-project.org" <r-help at r-project.org>, 
Datum:  26.04.2016 11:11
Betreff:        RE: [R] Missing Values in Logical Expressions



Hm

Based on Jim's data your construction gives me correct result.

> Umsatz_2011<-c(1,2,3,4,5,NA,7,8,NA,10)
> Kunde_2011<-rep(0:1,5)
> 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"))
> table(Check_Kunde_2011)
Check_Kunde_2011
Check    OK
    1     9

So I presume that the problem lies in your data.
You should provide some sample of your data either by posting result of

str(yourdata)
or
dput(head(yourdata))

if you want some advice why with correct code you did not get appropriate 
result.

Instead ifelse you can also use

Check_Kunde_2011 <- (is.na(Umsatz_2011)&(Kunde_2011==1))*1

to get desired 0/1 vector.

Cheers
Petr

> -----Original Message-----
> From: R-help [mailto:r-help-bounces at r-project.org] On Behalf Of
> G.Maubach at weinwolf.de
> Sent: Tuesday, April 26, 2016 10:10 AM
> To: r-help at r-project.org
> Subject: [R] Missing Values in Logical Expressions
>
> 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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