[R] deleting specified NA values

[Gabor Grothendieck]

BXC (Bendix Carstensen <bxc <at> steno.dk> writes:
: 
: > From: r-help-bounces <at> stat.math.ethz.ch 
: > [mailto:r-help-bounces <at> stat.math.ethz.ch] On Behalf Of Robert 
: > 
: > I have a data set of about 10000 records which was compiled 
: > from several smaller data sets using SPSS. During compilation 
: > 88 false records were accidentally introduced which comprise 
: > all NA values.  I want to delete these records but not other 
: > missing data.  The functions na.exclude and na.omit seem to 
: > remove all values of NA? How can I delete just the relevant 
: > NA's?  . i.e. I want to delete  all records in the data frame 
: > DATA where the field age contains NA values
: 
: How about:
: 
: all.nas <- apply( old, 1, function(x) sum( is.na( x ) ) )
: new <- old[all.nas < dim( old )[2], ]

A minor simplification of this might be:

	x[rowSums(is.na(x)) < ncol(x),]