| /* |
| * 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.inference; |
| |
| import org.apache.commons.math3.exception.NoDataException; |
| import org.apache.commons.math3.exception.NullArgumentException; |
| import org.junit.Assert; |
| import org.junit.Test; |
| |
| |
| /** |
| * Test cases for the MannWhitneyUTestImpl class. |
| * |
| */ |
| |
| public class MannWhitneyUTestTest { |
| |
| protected MannWhitneyUTest testStatistic = new MannWhitneyUTest(); |
| |
| @Test |
| public void testMannWhitneyUSimple() { |
| /* Target values computed using R version 2.11.1 |
| * x <- c(19, 22, 16, 29, 24) |
| * y <- c(20, 11, 17, 12) |
| * wilcox.test(x, y, alternative = "two.sided", mu = 0, paired = FALSE, exact = FALSE, correct = FALSE) |
| * W = 17, p-value = 0.08641 |
| */ |
| final double x[] = {19, 22, 16, 29, 24}; |
| final double y[] = {20, 11, 17, 12}; |
| |
| Assert.assertEquals(17, testStatistic.mannWhitneyU(x, y), 1e-10); |
| Assert.assertEquals(0.08641, testStatistic.mannWhitneyUTest(x, y), 1e-5); |
| } |
| |
| |
| @Test |
| public void testMannWhitneyUInputValidation() { |
| /* Samples must be present, i.e. length > 0 |
| */ |
| try { |
| testStatistic.mannWhitneyUTest(new double[] { }, new double[] { 1.0 }); |
| Assert.fail("x does not contain samples (exact), NoDataException expected"); |
| } catch (NoDataException ex) { |
| // expected |
| } |
| |
| try { |
| testStatistic.mannWhitneyUTest(new double[] { 1.0 }, new double[] { }); |
| Assert.fail("y does not contain samples (exact), NoDataException expected"); |
| } catch (NoDataException ex) { |
| // expected |
| } |
| |
| /* |
| * x and y is null |
| */ |
| try { |
| testStatistic.mannWhitneyUTest(null, null); |
| Assert.fail("x and y is null (exact), NullArgumentException expected"); |
| } catch (NullArgumentException ex) { |
| // expected |
| } |
| |
| try { |
| testStatistic.mannWhitneyUTest(null, null); |
| Assert.fail("x and y is null (asymptotic), NullArgumentException expected"); |
| } catch (NullArgumentException ex) { |
| // expected |
| } |
| |
| /* |
| * x or y is null |
| */ |
| try { |
| testStatistic.mannWhitneyUTest(null, new double[] { 1.0 }); |
| Assert.fail("x is null (exact), NullArgumentException expected"); |
| } catch (NullArgumentException ex) { |
| // expected |
| } |
| |
| try { |
| testStatistic.mannWhitneyUTest(new double[] { 1.0 }, null); |
| Assert.fail("y is null (exact), NullArgumentException expected"); |
| } catch (NullArgumentException ex) { |
| // expected |
| } |
| } |
| |
| @Test |
| public void testBigDataSet() { |
| double[] d1 = new double[1500]; |
| double[] d2 = new double[1500]; |
| for (int i = 0; i < 1500; i++) { |
| d1[i] = 2 * i; |
| d2[i] = 2 * i + 1; |
| } |
| double result = testStatistic.mannWhitneyUTest(d1, d2); |
| Assert.assertTrue(result > 0.1); |
| } |
| |
| @Test |
| public void testBigDataSetOverflow() { |
| // MATH-1145 |
| double[] d1 = new double[110000]; |
| double[] d2 = new double[110000]; |
| for (int i = 0; i < 110000; i++) { |
| d1[i] = i; |
| d2[i] = i; |
| } |
| double result = testStatistic.mannWhitneyUTest(d1, d2); |
| Assert.assertTrue(result == 1.0); |
| } |
| } |