Hi,
YOu could also use:
set.seed(5)
dat1<-data.frame(col1=sample(c(1:4,NA),10,replace=TRUE),col2=runif(10,0,1))
dat1[!complete.cases(dat1),]
# col1 col2
#3 NA 0.3184040
#8 NA 0.8878698
#9 NA 0.5549226
A.K.
- Original Message -
From: ramoss
To: r-help@r-project.org
Cc:
Sent
I found the answer;
Its mymissing <- subset(mydata,is.na(myvar))
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Le vendredi 30 novembre 2012 à 07:27 -0800, ramoss a écrit :
> Hello,
>
> I have a variable in a data frame that contains NA values. I just want to
> subset so that I get the obs where that variable is missing.
> In SAS I would do:
>
> data missing;
> set test;
> if myvalue=' ';
> run;
>
> H
Hi
see ?is.na
x <-sample(c(1:3, NA), 20, replace=T)
x
[1] 2 NA 2 3 3 3 3 2 3 NA 3 2 1 2 NA 3 3 3 2 2
y<-rnorm(20)
y[is.na(x)]
[1] 0.1600417 1.3264063 -0.6175832
Regards
Petr
> -Original Message-
> From: r-help-boun...@r-project.org [mailto:r-help-bounces@r-
> proj
On Nov 30, 2012, at 9:27 AM, ramoss wrote:
> Hello,
>
> I have a variable in a data frame that contains NA values. I just want to
> subset so that I get the obs where that variable is missing.
> In SAS I would do:
>
> data missing;
> set test;
> if myvalue=' ';
> run;
>
> How can I perform t
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