On Tue, 14 Aug 2007, Benjamin Tyner wrote: > Why not > > hasNA <- function(x) !is.na(match(NA, x))
It hashes the whole table (here x) and so is both slower and uses more memory than is.na(x). I am not clear what is meant by 'efficiency' here, or why it is needed (we have not been told). But writing a C-level function to do this would have taken less time that this discussion has already taken .... -- Brian D. Ripley, [EMAIL PROTECTED] Professor of Applied Statistics, http://www.stats.ox.ac.uk/~ripley/ University of Oxford, Tel: +44 1865 272861 (self) 1 South Parks Road, +44 1865 272866 (PA) Oxford OX1 3TG, UK Fax: +44 1865 272595 ______________________________________________ R-devel@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-devel
