[gradsusr] 99% confidence level
mehwish.ramzan at gmail.com
mehwish.ramzan at gmail.com
Thu Jan 26 11:46:07 EST 2017
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/gadoc/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
>>>
>>>
>>> _______________________________________________
>>> gradsusr mailing list
>>> gradsusr at gradsusr.org
>>> http://gradsusr.org/mailman/listinfo/gradsusr
>>>
>>>
>>> _______________________________________________
>>> gradsusr mailing list
>>> gradsusr at gradsusr.org
>>> http://gradsusr.org/mailman/listinfo/gradsusr
>>
>> _______________________________________________
>> gradsusr mailing list
>> gradsusr at gradsusr.org
>> http://gradsusr.org/mailman/listinfo/gradsusr
>
> _______________________________________________
> gradsusr mailing list
> gradsusr at gradsusr.org
> http://gradsusr.org/mailman/listinfo/gradsusr
More information about the gradsusr
mailing list