Alois Schlögl wrote: > Skipping NA/NaN is valid for the mean as well as for any other > statistical estimate.
That is not always so. Suppose you intend to compute the mean of N values but due to an error in your database query, 90% of those values are missing. Are you prepared to say that the mean of the other 10% is representative? NaNs convey meaning, as Søren said. --jkl ------------------------------------------------------------------------------ Open Source Business Conference (OSBC), March 24-25, 2009, San Francisco, CA -OSBC tackles the biggest issue in open source: Open Sourcing the Enterprise -Strategies to boost innovation and cut costs with open source participation -Receive a $600 discount off the registration fee with the source code: SFAD http://p.sf.net/sfu/XcvMzF8H _______________________________________________ Octave-dev mailing list Octave-dev@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/octave-dev
