| Thanks folks! I will give this a try. My backup plan is to export the data as an ASCII file, then use a text editor to find-and-replace all missing values with NaN, then just import that into MatLab.
And yes, of course it turns out I do have missing(). I must have misinterpreted the output I got when I used the command incorrectly.
Thanks again,
Sam Rabin
Graduate student
Princeton University
Ecology & Evolutionary Biology
On Jun 20, 2011, at 8:16 PM, Ryo Furue wrote: Hi,
| > Hello! I am trying to analyze a NetCDF file in MatLab, and
| > I would like to change all "missing" values in the dataset
| > to NaN for compatibility. This would probably be trivial
| > if the missing()
[. . .]
| Perhaps somebody can
| tell us whether the NCO operators will let you do this.
It seems to me that you may be able to trick ncap2 into
doing that. I say this because I don't see a legitimate
way to generate a NaN in the ncap2 language. If ncap2
passes values to its math backend without checking,
things like "sqrt(-1.0)" and "0.0/0.0" may generate NaNs.
I haven't tested this idea.
Regards,
Ryo
|