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Extracting dataframe rows containing NAs in one column

3 messages · kaallen, Pete Brecknock, R. Michael Weylandt

#
Hi,

I am working on a data set which looks like this:
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
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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#
kaallen wrote:
I am sure others will have cleaner approaches but how about ....

# Data
temp = data.frame(Day=1:6,Month=1, Year=c(NA,1959,NA,1959,1959,1959),
PW=c(6,7,8,NA,10,11))

# Extract Any Row Containing an NA
myNAs = temp[apply(temp,1,function(x) any(is.na(x))),]

HTH

Pete


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#
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: