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Re: Identifying outliers in data [message #91302 is a reply to message #91297]

Fri, 26 June 2015 11:57

siumtesfai
Messages: 62
Registered: April 2013

Member

On Thursday, June 25, 2015 at 10:03:34 PM UTC-4, siumt...@gmail.com wrote:
> Hi All,
>
> I am using cgboxplot.pro to identify outliers in my data. It is nice program that I see I have outliers in my data
>
> Next step I would like to store my good data to an array and continue processing them.
>
>
> My data is two dimension wind data
>
> wind = Array(number of days, pressure levels)
>
> e.g wind= Array( 31, 17)
>
> Once I am able to exclude the outliers from my daily dataset, I am interested to make monthly mean data set
>
>
>
> Can anyone suggest me how I would solve my problem
>
> Thank you in advance
>
> Best regards

I would think i can do this

; Draw outliners if there are any.
IF maxcount GT 0 THEN BEGIN
outliermax=fltarr(maxcount)
FOR k = 0,maxcount-1 do outliermax(k)=imax(k)
print,'outliermax'
print,outliermax

FOR j=0,maxcount-1 DO PLOTS, xlocation, data[imax[j]], $
PSYM=cgSymCat(9), COLOR=cgColor(outliercolor), NOCLIP=0
ENDIF
IF mincount GT 0 THEN BEGIN

outliermin=fltarr(mincount)
FOR kk = 0,mincount-1 do outliermin(kk)=imin(kk)
print,'outliermin'
print,outliermin
FOR j=0,mincount-1 DO PLOTS, xlocation, data[imin[j]], $
PSYM=cgSymCat(9), COLOR=cgColor(outliercolor), NOCLIP=0
ENDIF

But the problem would be the original data have been sorted . I would have a problem locating the location or index of the outlier in the original data.

I found in the above step is the index or location from the already sorted data.

Best regards

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[Message index]

		Identifying outliers in data By: siumtesfai on Thu, 25 June 2015 19:03
		Re: Identifying outliers in data By: David Fanning on Fri, 26 June 2015 07:02
		Re: Identifying outliers in data By: siumtesfai on Fri, 26 June 2015 11:57
		Re: Identifying outliers in data By: Jeremy Bailin on Sat, 27 June 2015 10:06
		Re: Identifying outliers in data By: David Fanning on Sat, 27 June 2015 10:16

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