[R] How to delete only those rows in a dataframe in which all records are missing
R. Michael Weylandt
michael.weylandt at gmail.com
Fri Nov 4 16:17:56 CET 2011
Perhaps something like this will work.
df[!(rowSums(is.na(df))==NCOL(df)),]
Michael
On Fri, Nov 4, 2011 at 9:27 AM, Jose Iparraguirre
<Jose.Iparraguirre at ageuk.org.uk> wrote:
> Hi,
>
> Imagine I have the following data frame:
>
>> a <- c(1,NA,3)
>> b <- c(2,NA,NA)
>> c <- data.frame(cbind(a,b))
>> c
> a b
> 1 1 2
> 2 NA NA
> 3 3 NA
>
> I want to delete the second row. If I use na.omit, that would also affect the third row. I tried to use a loop and an ifelse clause with is.na to get R identify that row in which all records are missing, as opposed to the first row in which no records are missing or the third one, in which only one record is missing. How can I get R identify the row in which all records are missing? Or, how can I get R delete/omit only this row?
> Thanks in advance,
>
> José
>
>
> José Iparraguirre
> Chief Economist
> Age UK
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