How to delete only those rows in a dataframe in which all records are missing

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 

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 

Thanks in advance,

Jos?


Jos? Iparraguirre
Chief Economist
Age UK

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