| /* |
| * Licensed to the Apache Software Foundation (ASF) under one or more |
| * contributor license agreements. See the NOTICE file distributed with |
| * this work for additional information regarding copyright ownership. |
| * The ASF licenses this file to You under the Apache License, Version 2.0 |
| * (the "License"); you may not use this file except in compliance with |
| * the License. You may obtain a copy of the License at |
| * |
| * http://www.apache.org/licenses/LICENSE-2.0 |
| * |
| * Unless required by applicable law or agreed to in writing, software |
| * distributed under the License is distributed on an "AS IS" BASIS, |
| * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. |
| * See the License for the specific language governing permissions and |
| * limitations under the License. |
| */ |
| package org.apache.commons.math3.stat.descriptive.rank; |
| |
| import static org.apache.commons.math3.stat.descriptive.rank.Percentile.EstimationType.LEGACY; |
| import static org.apache.commons.math3.stat.descriptive.rank.Percentile.EstimationType.R_1; |
| import static org.apache.commons.math3.stat.descriptive.rank.Percentile.EstimationType.R_2; |
| import static org.apache.commons.math3.stat.descriptive.rank.Percentile.EstimationType.R_3; |
| import static org.apache.commons.math3.stat.descriptive.rank.Percentile.EstimationType.R_4; |
| import static org.apache.commons.math3.stat.descriptive.rank.Percentile.EstimationType.R_5; |
| import static org.apache.commons.math3.stat.descriptive.rank.Percentile.EstimationType.R_6; |
| import static org.apache.commons.math3.stat.descriptive.rank.Percentile.EstimationType.R_7; |
| import static org.apache.commons.math3.stat.descriptive.rank.Percentile.EstimationType.R_8; |
| import static org.apache.commons.math3.stat.descriptive.rank.Percentile.EstimationType.R_9; |
| |
| import org.apache.commons.math3.stat.descriptive.UnivariateStatistic; |
| import org.apache.commons.math3.stat.descriptive.UnivariateStatisticAbstractTest; |
| import org.apache.commons.math3.stat.descriptive.rank.Percentile.EstimationType; |
| import org.apache.commons.math3.stat.ranking.NaNStrategy; |
| import org.junit.Assert; |
| import org.junit.Before; |
| import org.junit.Test; |
| |
| /** |
| * Test cases for the {@link UnivariateStatistic} class. |
| */ |
| public class MedianTest extends UnivariateStatisticAbstractTest{ |
| |
| protected Median stat; |
| |
| /** |
| * {@link org.apache.commons.math3.stat.descriptive.rank.Percentile.EstimationType type} |
| * to be used while calling |
| * {@link #getUnivariateStatistic()} |
| */ |
| protected EstimationType estimationType = LEGACY; |
| |
| /** |
| * {@inheritDoc} |
| */ |
| @Override |
| public UnivariateStatistic getUnivariateStatistic() { |
| return new Median(); |
| } |
| |
| private Median getTestMedian(EstimationType type) { |
| NaNStrategy strategy = (type == LEGACY) ? NaNStrategy.FIXED : NaNStrategy.REMOVED; |
| return new Median().withEstimationType(type).withNaNStrategy(strategy); |
| } |
| |
| /** |
| * {@inheritDoc} |
| */ |
| @Override |
| public double expectedValue() { |
| return this.median; |
| } |
| |
| @Before |
| public void before() { |
| estimationType=LEGACY; |
| } |
| |
| @Test |
| public void testAllTechniquesSingleton() { |
| double[] singletonArray = new double[] { 1d }; |
| for (EstimationType e : EstimationType.values()) { |
| UnivariateStatistic percentile = getTestMedian(e); |
| Assert.assertEquals(1d, percentile.evaluate(singletonArray), 0); |
| Assert.assertEquals(1d, percentile.evaluate(singletonArray, 0, 1), |
| 0); |
| Assert.assertEquals(1d, |
| new Median().evaluate(singletonArray, 0, 1, 5), 0); |
| Assert.assertEquals(1d, |
| new Median().evaluate(singletonArray, 0, 1, 100), 0); |
| Assert.assertTrue(Double.isNaN(percentile.evaluate(singletonArray, |
| 0, 0))); |
| } |
| } |
| @Test |
| public void testAllTechniquesMedian() { |
| double[] d = new double[] { 1, 3, 2, 4 }; |
| testAssertMappedValues(d, new Object[][] { { LEGACY, 2.5d }, |
| { R_1, 2d }, { R_2, 2.5d }, { R_3, 2d }, { R_4, 2d }, { R_5, 2.5 }, |
| { R_6, 2.5 },{ R_7, 2.5 },{ R_8, 2.5 }, { R_9 , 2.5 } }, 1.0e-05); |
| |
| } |
| |
| |
| /** |
| * Simple test assertion utility method |
| * |
| * @param d input data |
| * @param map of expected result against a {@link EstimationType} |
| * @param tolerance the tolerance of difference allowed |
| */ |
| protected void testAssertMappedValues(double[] d, Object[][] map, |
| Double tolerance) { |
| for (Object[] o : map) { |
| EstimationType e = (EstimationType) o[0]; |
| double expected = (Double) o[1]; |
| double result = getTestMedian(e).evaluate(d); |
| Assert.assertEquals("expected[" + e + "] = " + expected + |
| " but was = " + result, expected, result, tolerance); |
| } |
| } |
| } |