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)),]

Or

df[complete.cases(df),]

Regards
Petr

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,

Jos?


Jos? Iparraguirre
Chief Economist
Age UK

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