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How to ignore NaNs in the data array with function cgPercentile.pro or Percentile.pro? [message #90946]

Mon, 18 May 2015 06:18

atmospheric physics is currently offline

atmospheric physics
Messages: 121
Registered: June 2010

Senior Member

Hello,

I have two data arrays one with some missing data and the other without missing data as below:

data = [Randomu(3L, 100) * 100, !Values.F_NAN, !Values.F_NaN]

data1 = [Randomu(3L, 100) * 100]

When I use the cgPercentiles, I don't want missing data to be included.

Print, cgPercentiles(data, Percentiles=[0.25, 0.5, 0.75])
21.8058 52.4532 77.3341

Print, cgPercentiles(data1, Percentiles=[0.25, 0.5, 0.75])
21.8058 51.3569 76.6930

Does this make sense to ignore missing data from the data array while obtaining the percentiles?

Thanks in advance,
Regards,
Madhavan

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[Message index]

		How to ignore NaNs in the data array with function cgPercentile.pro or Percentile.pro? By: atmospheric physics on Mon, 18 May 2015 06:18
		Re: How to ignore NaNs in the data array with function cgPercentile.pro or Percentile.pro? By: David Fanning on Mon, 18 May 2015 06:28
		Re: How to ignore NaNs in the data array with function cgPercentile.pro or Percentile.pro? By: Helder Marchetto on Mon, 18 May 2015 06:36
		Re: How to ignore NaNs in the data array with function cgPercentile.pro or Percentile.pro? By: Matthew Argall on Mon, 18 May 2015 06:44

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