[ncl-talk] sub: significant test

[dale zuri]

Hi,
Yes. It contains a two-dimensional array (26 x 76) correlation
coefficients.

Thanks for your response.

On Fri, Mar 6, 2020 at 2:58 PM Dennis Shea <shea at ucar.edu> wrote:

> I am not sure what you are doing.
> You should provide more information.
>
> Does 'dfcor' contain a correlation?
>    printVarSummary(dfcor)
>    printMinMax(dfcor,0)
>
> Why did you make it a one-dimensional array?
>
>
>
>
> On Fri, Mar 6, 2020 at 2:51 PM dale zuri via ncl-talk <ncl-talk at ucar.edu>
> wrote:
>
>> Hi Ncl user,
>> I have been trying to test the significance of an array using the
>> following steps. I don't see any stripes on the figure. I am not sure where
>> I'm going wrong. I don't get any warning message. I would appreciate any
>> comments.
>>
>> Thanks
>>
>> ;TTest:;;;;;
>>
>> x1d=ndtooned(dfcor)
>>
>> n    = dimsizes(x1d)                ; n=11
>>
>> df   = n-2
>>
>> siglvl=0.05
>>
>>  ppr     = rtest(x1d, n, 0)
>>
>> printVarSummary(ppr)
>>
>>  x4d     = onedtond(ppr,(/26,76/))
>>
>> printVarSummary(x4d)
>>
>> x4d = where(x4d.lt.siglvl, 1, x4d)
>>
>> printMinMax(x4d,0)
>>
>> ;overlay plot::::::
>>
>> opt = True                                         ; set up parameters
>> for pattern fill
>>
>>   opt at gsnShadeFillType = "pattern"                   ; specify pattern
>> fill
>>
>>   opt at gsnShadeLow      = 17                         ; stipple pattern
>>
>> ;  opt at gsnShadeDotSizeF = 3                           ; make dots larger
>>
>>  plot2  = gsn_csm_contour(wks,x4d,res2)
>>
>>
>>   plot2   = gsn_contour_shade(plot2,0.05,30, opt)        ; stipple all
>> areas >= 99%  contour
>>
>>
>>   overlay (plot, plot2)
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