[ncl-talk] question concerning reg_multlin_stats

[Mary Haley]

You may also look at the "where" function, which is a little more flexible
than "ind".

--Mary


On Tue, Dec 1, 2015 at 1:47 PM, Daniel Barandiaran <dbarandiaran at gmail.com>
wrote:

> Sorry for the bump, but I've been thinking about this a little more, and
> looked at some more of contributed.ncl. I think that I have a simple
> solution, which is just to use the ind function to pre-treat my data to
> ignore missing values before feeding it to the regression function.
>
> If this is a poor solution, or there is a better one than feel free to
> chime in.
>
> On Tue, Dec 1, 2015 at 8:36 AM, Daniel Barandiaran <dbarandiaran at gmail.com
> > wrote:
>
>> Hi everyone,
>>
>> In the documentation, it states that missing values are allowed, but not
>> recommended for independent variables. However, when I give the function a
>> time series for the dependent variable that has missing values, it says
>> this is not allowed and dumps out. I peeked into contributed.ncl, found the
>> function and commented out the missing value check for the dependent
>> variable. The function seems to work properly. Is this ok?
>>
>> I am using this function to reconstruct snow course SWE measurements with
>> tree-rings. Some snow courses have a missing value or two in their record,
>> but still have sufficient number of observations to result in reasonable
>> regression models, and so I would still like to be able to use them.
>>
>> --
>> Danny Barandiaran
>> Ph.D. Candidate
>> Department of Plants, Soils, and Climate
>> Utah State University
>>
>>
>>
>
>
> --
> Danny Barandiaran
> Ph.D. Candidate
> Department of Plants, Soils, and Climate
> Utah State University
>
>
>
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