I have a data matrix containing quite a lot of missing values (NA). I know how to remove all column or rows containing NA values, but is there a some standard method for removing not all NA containing rows/column, but only those which have significantly more NAs than others? -- View this message in context: http://www.nabble.com/NA-values-trimming-tp24339399p24339399.html Sent from the R help mailing list archive at Nabble.com.
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