[ncl-talk] Correlation and Significant p value matrix

[Arka Banerjee]

Thanks!
But taking any one of them..say 'pearson'
Calculate the p matrix of mxn order where your x and y are also in mxn
dimension.



On Nov 16, 2017 19:23, "Dennis Shea" <shea at ucar.edu> wrote:

> This question is quite vague. You must be more specific.
>
> --
> There are numerous 'correlation' functions. Some are:
>
> https://www.ncl.ucar.edu/Document/Functions/Built-in/escorc_n.shtml
>
> Others + some testing
>
> *escorc*
> <https://www.ncl.ucar.edu/Document/Functions/Built-in/escorc.shtml>,
> *esacv* <https://www.ncl.ucar.edu/Document/Functions/Built-in/esacv.shtml>,
> *esacr* <https://www.ncl.ucar.edu/Document/Functions/Built-in/esacr.shtml>,
> *esccr* <https://www.ncl.ucar.edu/Document/Functions/Built-in/esccr.shtml>,
> *esccv* <https://www.ncl.ucar.edu/Document/Functions/Built-in/esccv.shtml>,
> *escovc*
> <https://www.ncl.ucar.edu/Document/Functions/Built-in/escovc.shtml>,
> *pattern_cor*
> <https://www.ncl.ucar.edu/Document/Functions/Contributed/pattern_cor.shtml>,
> *rtest* <https://www.ncl.ucar.edu/Document/Functions/Built-in/rtest.shtml>,
> *student_t*
> <https://www.ncl.ucar.edu/Document/Functions/Built-in/student_t.shtml>
>
>
> <https://www.ncl.ucar.edu/Document/Functions/Built-in/student_t.shtml>
> Please look at the function listing and search for what you might want.
>
> https://www.ncl.ucar.edu/Document/Functions/list_alpha.shtml
>
> On Wed, Nov 15, 2017 at 10:24 AM, Arka Banerjee <arka354deb at gmail.com>
> wrote:
>
>> Dear ncl users,
>>
>> If you have two matrices x and y with same order of mxn then how to
>> calculate correlation and p values so that resultant matrices are in same
>> dimension.
>>
>> Thanks,
>> Arka
>>
>> _______________________________________________
>> ncl-talk mailing list
>> ncl-talk at ucar.edu
>> List instructions, subscriber options, unsubscribe:
>> http://mailman.ucar.edu/mailman/listinfo/ncl-talk
>>
>>
>
-------------- next part --------------
An HTML attachment was scrubbed...
URL: <http://mailman.ucar.edu/pipermail/ncl-talk/attachments/20171116/07c63a5d/attachment.html>