On Thu, Jun 23, 2011 at 07:51:25PM -0400, [email protected] wrote: > From the perspective of statistical analysis, I don't see much > advantage of this. What to do with nans depends on the analysis, and > needs to be looked at for each case.
>From someone who actually sometimes does statistics with missing data, I would like to echo this feeling. The hard problem is to write your statistical code (estimator, or test statistics) in such a way that it can deal with missing data. The actually container/marker to store the data is quite minor. G _______________________________________________ NumPy-Discussion mailing list [email protected] http://mail.scipy.org/mailman/listinfo/numpy-discussion
