Examples of KthSelector

org.apache.commons.math3.util.KthSelector
A Simple K^th selector implementation to pick up the K^th ordered element from a work array containing the input numbers. @since 3.4

Examples of org.apache.commons.math3.util.KthSelector

    @Before
    public void before() {
        quantile         = 95.0;
        type             = Percentile.EstimationType.LEGACY;
        nanStrategy      = NaNStrategy.REMOVED;
        kthSelector      = new KthSelector(new MedianOf3PivotingStrategy());
    }

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Examples of org.apache.commons.math3.util.KthSelector

        }
    }


    @Test
    public void testAllTechniquesPercentileUsingMedianOf3Pivoting() {
        kthSelector = new KthSelector(new MedianOf3PivotingStrategy());
        Assert.assertEquals(MedianOf3PivotingStrategy.class,
                            getUnivariateStatistic().getPivotingStrategy().getClass());
        checkAllTechniquesPercentile();
    }

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Examples of org.apache.commons.math3.util.KthSelector

        checkAllTechniquesPercentile();
    }


    @Test
    public void testAllTechniquesPercentileUsingCentralPivoting() {
        kthSelector = new KthSelector(new CentralPivotingStrategy());
        Assert.assertEquals(CentralPivotingStrategy.class,
                            getUnivariateStatistic().getPivotingStrategy().getClass());
        checkAllTechniquesPercentile();
    }

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Examples of org.apache.commons.math3.util.KthSelector

        checkAllTechniquesPercentile();
    }


    @Test
    public void testAllTechniquesPercentileUsingRandomPivoting() {
        kthSelector = new KthSelector(new RandomPivotingStrategy(new Well1024a(0x268a7fb4194240f6l)));
        Assert.assertEquals(RandomPivotingStrategy.class,
                            getUnivariateStatistic().getPivotingStrategy().getClass());
        checkAllTechniquesPercentile();
    }

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Examples of org.apache.commons.math3.util.KthSelector

                new Object[][] { { Percentile.EstimationType.LEGACY, 20.82 }, { Percentile.EstimationType.R_1, 19.8 },
                        { Percentile.EstimationType.R_2, 19.8 }, { Percentile.EstimationType.R_3, 19.8 }, { Percentile.EstimationType.R_4, 19.310 },
                        { Percentile.EstimationType.R_5, 20.280}, { Percentile.EstimationType.R_6, 20.820},
                        { Percentile.EstimationType.R_7, 19.555 }, { Percentile.EstimationType.R_8, 20.460 },{Percentile.EstimationType.R_9,20.415} };
        try {
            Percentile.EstimationType.LEGACY.evaluate(testArray, -1d, new KthSelector(new MedianOf3PivotingStrategy()));
        } catch (final OutOfRangeException oore) {
        }
        try {
            Percentile.EstimationType.LEGACY.evaluate(testArray, 101d, new KthSelector());
        } catch (final OutOfRangeException oore) {
        }
        try {
            Percentile.EstimationType.LEGACY.evaluate(testArray, 50d, new KthSelector());
        } catch(final OutOfRangeException oore) {
        }
        for (final Object[] o : map) {
            final Percentile.EstimationType e = (Percentile.EstimationType) o[0];
            final double expected = (Double) o[1];
            final double result = e.evaluate(testArray, DEFAULT_PERCENTILE, new KthSelector());
            Assert.assertEquals("expected[" + e + "] = " + expected +
                    " but was = " + result, expected, result, tolerance);
        }
    }

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Examples of org.apache.commons.math3.util.KthSelector

        for (final PivotingStrategyInterface strategy : new PivotingStrategyInterface[] {
            new MedianOf3PivotingStrategy(),
            new CentralPivotingStrategy(),
            new RandomPivotingStrategy(new Well1024a(0xf097c734e4740053l))
        }) {
            kthSelector = new KthSelector(strategy);
            testAllEstimationTechniquesOnly();
        }
    }

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Examples of org.apache.commons.math3.util.KthSelector

                        { Percentile.EstimationType.R_5, 20.280}, { Percentile.EstimationType.R_6, 20.820},
                        { Percentile.EstimationType.R_7, 19.555 }, { Percentile.EstimationType.R_8, 20.460 },{ Percentile.EstimationType.R_9, 20.415 } };
        for (final Object[] o : map) {
            final Percentile.EstimationType e = (Percentile.EstimationType) o[0];
            try {
                e.evaluate(null, DEFAULT_PERCENTILE, new KthSelector());
                Assert.fail("Expecting NullArgumentException");
            } catch (final NullArgumentException nae) {
                // expected
            }
            try {
                e.evaluate(testArray, 120, new KthSelector());
                Assert.fail("Expecting OutOfRangeException");
            } catch (final OutOfRangeException oore) {
                // expected
            }
        }

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Examples of org.apache.commons.math3.util.KthSelector

     * @throws MathIllegalArgumentException  if p is not greater than 0 and less
     * than or equal to 100
     */
    public Percentile(final double quantile) throws MathIllegalArgumentException {
        this(quantile, EstimationType.LEGACY, NaNStrategy.REMOVED,
             new KthSelector(new MedianOf3PivotingStrategy()));
    }

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