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Gilles commented on MATH-1129:
------------------------------
bq. Adding a NaNStrategy like in rank conversions might be a solution.
This suggestion is also to be discussed for MATH-1120.
Could you please raise the issue on the "dev" ML?
> Percentile Computation errs
> ---------------------------
>
> Key: MATH-1129
> URL: https://issues.apache.org/jira/browse/MATH-1129
> Project: Commons Math
> Issue Type: Bug
> Affects Versions: 3.2
> Environment: Java 1.8.0
> Reporter: Carl Witt
>
> In the following test, the 75th percentile is _smaller_ than the 25th percentile, leaving
me with a negative interquartile range.
> {code:title=Bar.java|borderStyle=solid}
> @Test public void negativePercentiles(){
> double[] data = new double[]{
> -0.012086732064244697,
> -0.24975668704012527,
> 0.5706168483164684,
> -0.322111769955327,
> 0.24166759508327315,
> Double.NaN,
> 0.16698443218942854,
> -0.10427763937565114,
> -0.15595963093172435,
> -0.028075857595882995,
> -0.24137994506058857,
> 0.47543170476574426,
> -0.07495595384947631,
> 0.37445697625436497,
> -0.09944199541668033
> };
> DescriptiveStatistics descriptiveStatistics = new DescriptiveStatistics(data);
> double threeQuarters = descriptiveStatistics.getPercentile(75);
> double oneQuarter = descriptiveStatistics.getPercentile(25);
> double IQR = threeQuarters - oneQuarter;
>
> System.out.println(String.format("25th percentile %s 75th percentile %s", oneQuarter,
threeQuarters ));
>
> assert IQR >= 0;
>
> }
> {code}
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