[gradsusr] 99% confidence level

[mehwish ramzan]

Dear GrADS users,

Thank you so much for helping me out for calculating the 99% significance
level.

Here is my output.


With Best Regards,

Mehwish


P.S. Thank you Professor Robock and David Nielsen, I will try your
suggestions as well to enhance the quality of figures.

On Thu, Jan 26, 2017 at 11:31 PM, David Nielsen <davidnielsen at id.uff.br>
wrote:

> Just to add a bit on the visualisation, with Grads 2.1 or above, you can
> draw trasparent shadings over the non-significant areas. I found it  quite
> nice-looking. You can adjust the level of transparency.
>
> http://cola.gmu.edu/grads/gadoc/colorcontrol.html#transparent
>
>
> [image: Inline image 2]
>
> On Thu, Jan 26, 2017 at 2:46 PM, <mehwish.ramzan at gmail.com> wrote:
>
>> Dear All,
>>
>> Thank you so much for your replies. Okay I will try your suggestions and
>> get back to you soon.
>>
>> With Best Regards,
>>
>> Mehwish
>>
>>
>>
>> > On Jan 26, 2017, at 7:24 PM, Alan Robock <robock at envsci.rutgers.edu>
>> wrote:
>> >
>> > Actually it is much better to shade or put dots on the regions that are
>> > NOT statistically significant.  That way you are covering information
>> > that is not important rather than covering the data you want people to
>> see.
>> >
>> > Alan
>> >
>> > Alan Robock, Distinguished Professor
>> >   Editor, Reviews of Geophysics
>> > Department of Environmental Sciences             Phone: +1-848-932-5751
>> > Rutgers University                                 Fax: +1-732-932-8644
>> > 14 College Farm Road                  E-mail: robock at envsci.rutgers.edu
>> > New Brunswick, NJ 08901-8551  USA     http://envsci.rutgers.edu/~robock
>> > ☮ http://twitter.com/AlanRobock
>> > Watch my 18 min TEDx talk at http://www.youtube.com/watch?v=qsrEk1oZ-54
>> >
>> >> On 1/26/2017 2:51 AM, Andrew Friedman wrote:
>> >> Another option for plotting the significance areas (steps [2] and [3]
>> below) is to use pattern filling: http://cola.gmu.edu/grads/gado
>> c/gradcomdsettile.html
>> >> In this case, you can draw a tile over statistically significant
>> regions directly in GrADS without needing to create shapefiles.
>> >>
>> >> -Andrew
>> >>
>> >>
>> >>> On Jan 26, 2017, at 2:52 AM, Lyndon Mark Olaguera <
>> olagueralyndonmark429 at gmail.com> wrote:
>> >>>
>> >>> Hello,
>> >>>
>> >>>
>> >>> This website provides an example of doing a statistical significance
>> test using grads:
>> >>>
>> >>> https://nelson.wisc.edu/ccr/resources/grads/significance-scripts.php
>> >>>
>> >>> Read the instructions carefully.
>> >>>
>> >>> As for the dots in the figure for areas which are statistically
>> significant. You can do the following:
>> >>>
>> >>> [1] Mask out areas that are greater than the t statistic that you are
>> using.
>> >>> [2] Save the masked output as a point shapefile. You can also do this
>> in grads. Everything is in this website:
>> >>> http://cola.gmu.edu/grads/gadoc/shapefiles.html
>> >>> [3] Plot the basemap (the anomaly from your figure) then draw the
>> shapefile.
>> >>>
>> >>> Hope this helps.
>> >>> Goodluck!
>> >>>
>> >>> Lyndon Mark P. Olaguera
>> >>> PhD Student
>> >>> Monsoon Climatology Laboratory
>> >>> Department of Geography
>> >>> Faculty of Urban Environmental Science
>> >>> Minami-Osawa Campus
>> >>> Tokyo Metropolitan University
>> >>>
>> >>>
>> >>> On Thu, Jan 26, 2017 at 9:18 AM, mehwish ramzan <
>> mehwish.ramzan at gmail.com> wrote:
>> >>> Dear Andrew and GrADS users,
>> >>>
>> >>> I want to prepare a figure showing regions statistically significant
>> at the 99% confidence level (using Student’s t-test) by subtracting model
>> from observation.
>> >>>
>> >>> Please see attached file as a sample.The statistically significant
>> areas are presented as black dots in the figure.
>> >>>
>> >>>
>> >>> How can i obtain such figure using GrADS.
>> >>>
>> >>>
>> >>> Please guide me.
>> >>>
>> >>> Thank you
>> >>>
>> >>> With Best Regards,
>> >>>
>> >>> Mehwish
>> >>>
>> >>>
>> >>> PS: The figure attached as sample is just for reference purpose.
>> >>> Figure reference: http://www.nature.com/articles/srep11847/figures/1.
>> Retrieved on 25/01/2017
>> >>>
>> >>>
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