Message-ID: <CAAmySGNnxm+DHuqq2Au5z71XHJSnU6e=io5cZkZKORX5rNUihQ@mail.gmail.com>
Date: 2011-10-25T17:48:52Z
From: R. Michael Weylandt
Subject: Extracting dataframe rows containing NAs in one column
In-Reply-To: <1319560733460-3937361.post@n4.nabble.com>
I'm thinking you need to spend some time reading about subsetting in R:
temp[!complete.cases(temp),] # I don't think you need/want/should use the [,4]
Michael
On Tue, Oct 25, 2011 at 12:38 PM, kaallen <kaallen at liv.ac.uk> wrote:
> Hi,
>
> I am working on a data set which looks like this:
>
>> head(temp)
> ?Day Month Year ? PW ?ROW
> 1 ? 1 ? ? 1 1959 ? NA 6.40
> 2 ? 2 ? ? 1 1959 6.65 6.35
> 3 ? 3 ? ? 1 1959 2.50 3.60
> 4 ? 4 ? ? 1 1959 0.60 2.25
> 5 ? 5 ? ? 1 1959 0.85 0.30
> 6 ? 6 ? ? 1 1959 0.00 2.20
>
> I am trying to extract all the rows containing NA. I can extrat all the rows
> without NAs in column 4 using
>
>> PWna<-temp[complete.cases(temp[,4]),]
>> head(PWna)
> ?Day Month Year ? PW ?ROW
> 2 ? 2 ? ? 1 1959 6.65 6.35
> 3 ? 3 ? ? 1 1959 2.50 3.60
> 4 ? 4 ? ? 1 1959 0.60 2.25
> 5 ? 5 ? ? 1 1959 0.85 0.30
> 6 ? 6 ? ? 1 1959 0.00 2.20
> 7 ? 7 ? ? 1 1959 1.40 1.65
>
> But can't figure out how to extract the rows WITH the NAs. Can anyone advise
> me?
>
> Thanks in advance
>
> --
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