It depends what you mean by 'ignore'. Some functions have an na.rm
argument which throws out NAs before computing the statistic.
if the vector 'x' has NAs, then
x <- x[!is.na(x)]
may be what you're looking for. This removes NAs from x and reassigns
the value to x.
[EMAIL PROTECTED] wrote:
Hi,
I am extracting data from a table where the rows have different column lengths,
and empty columns have NA in them. Whenever I extract a row with some empty
columns, the resulting vector carries all the NAs. Is there a way to ignore the
empty columns?
Thanks,
-Nina
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