Am 20.02.2012 um 15:46 schrieb Nir Krakauer:
> As a user of the NaN toolbox for data analysis and statistics
> computations, I find that overloading the built-in functions with the
> NaN-skipping functionality serves me well, compared to having to
> remember to use nan- forms of the function names as in Matlab.On the
> other hand, I agree that the default Octave/Matlab behavior makes
> sense in certain cases too.
Hello,
since all of the discussion is so much centered around real NaNs:
Don't we have the special NA-NaNs to mark data as missing instead of the usual
NaNs?
Sorry if the question is stupid, but I'm not fluent with the NaN-toolbox, yet I
remember I was glad to find NA to be different from NaN, so I could discern
missing data from corrupted results of calculations.
Later,
Alex
--
Dr. Alexander Klein, Diplom-Mathematiker
Physiologisches Institut | TransMIT-Bereich
Raum 543 | für Mathematische Analysen
| und Feld-Simulationen
Aulweg 129 | Heinrich-Buff-Ring 44
35392 Giessen | 35392 Giessen
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