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Java example source code file (OneWayAnovaTest.java)

This example Java source code file (OneWayAnovaTest.java) is included in the alvinalexander.com "Java Source Code Warehouse" project. The intent of this project is to help you "Learn Java by Example" TM.

Learn more about this Java project at its project page.

Java - Java tags/keywords

anova, arraylist, f-value, list, mathillegalargumentexception, onewayanova, onewayanovatest, p-value, summarystatistics, test, util

The OneWayAnovaTest.java Java example source code

/*
 * 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 java.util.ArrayList;
import java.util.List;

import org.apache.commons.math3.exception.MathIllegalArgumentException;
import org.apache.commons.math3.stat.descriptive.SummaryStatistics;
import org.junit.Assert;
import org.junit.Test;


/**
 * Test cases for the OneWayAnovaImpl class.
 *
 */

public class OneWayAnovaTest {

    protected OneWayAnova testStatistic = new OneWayAnova();

    private double[] emptyArray = {};

    private double[] classA =
            {93.0, 103.0, 95.0, 101.0, 91.0, 105.0, 96.0, 94.0, 101.0 };
    private double[] classB =
            {99.0, 92.0, 102.0, 100.0, 102.0, 89.0 };
    private double[] classC =
            {110.0, 115.0, 111.0, 117.0, 128.0, 117.0 };

    @Test
    public void testAnovaFValue() {
        // Target comparison values computed using R version 2.6.0 (Linux version)
        List<double[]> threeClasses = new ArrayList();
        threeClasses.add(classA);
        threeClasses.add(classB);
        threeClasses.add(classC);

        Assert.assertEquals("ANOVA F-value",  24.67361709460624,
                 testStatistic.anovaFValue(threeClasses), 1E-12);

        List<double[]> twoClasses = new ArrayList();
        twoClasses.add(classA);
        twoClasses.add(classB);

        Assert.assertEquals("ANOVA F-value",  0.0150579150579,
                 testStatistic.anovaFValue(twoClasses), 1E-12);

        List<double[]> emptyContents = new ArrayList();
        emptyContents.add(emptyArray);
        emptyContents.add(classC);
        try {
            testStatistic.anovaFValue(emptyContents);
            Assert.fail("empty array for key classX, MathIllegalArgumentException expected");
        } catch (MathIllegalArgumentException ex) {
            // expected
        }

        List<double[]> tooFew = new ArrayList();
        tooFew.add(classA);
        try {
            testStatistic.anovaFValue(tooFew);
            Assert.fail("less than two classes, MathIllegalArgumentException expected");
        } catch (MathIllegalArgumentException ex) {
            // expected
        }
    }


    @Test
    public void testAnovaPValue() {
        // Target comparison values computed using R version 2.6.0 (Linux version)
        List<double[]> threeClasses = new ArrayList();
        threeClasses.add(classA);
        threeClasses.add(classB);
        threeClasses.add(classC);

        Assert.assertEquals("ANOVA P-value", 6.959446E-06,
                 testStatistic.anovaPValue(threeClasses), 1E-12);

        List<double[]> twoClasses = new ArrayList();
        twoClasses.add(classA);
        twoClasses.add(classB);

        Assert.assertEquals("ANOVA P-value",  0.904212960464,
                 testStatistic.anovaPValue(twoClasses), 1E-12);

    }

    @Test
    public void testAnovaPValueSummaryStatistics() {
        // Target comparison values computed using R version 2.6.0 (Linux version)
        List<SummaryStatistics> threeClasses = new ArrayList();
        SummaryStatistics statsA = new SummaryStatistics();
        for (double a : classA) {
            statsA.addValue(a);
        }
        threeClasses.add(statsA);
        SummaryStatistics statsB = new SummaryStatistics();
        for (double b : classB) {
            statsB.addValue(b);
        }
        threeClasses.add(statsB);
        SummaryStatistics statsC = new SummaryStatistics();
        for (double c : classC) {
            statsC.addValue(c);
        }
        threeClasses.add(statsC);

        Assert.assertEquals("ANOVA P-value", 6.959446E-06,
                 testStatistic.anovaPValue(threeClasses, true), 1E-12);

        List<SummaryStatistics> twoClasses = new ArrayList();
        twoClasses.add(statsA);
        twoClasses.add(statsB);

        Assert.assertEquals("ANOVA P-value",  0.904212960464,
                 testStatistic.anovaPValue(twoClasses, false), 1E-12);

    }

    @Test
    public void testAnovaTest() {
        // Target comparison values computed using R version 2.3.1 (Linux version)
        List<double[]> threeClasses = new ArrayList();
        threeClasses.add(classA);
        threeClasses.add(classB);
        threeClasses.add(classC);

        Assert.assertTrue("ANOVA Test P<0.01", testStatistic.anovaTest(threeClasses, 0.01));

        List<double[]> twoClasses = new ArrayList();
        twoClasses.add(classA);
        twoClasses.add(classB);

        Assert.assertFalse("ANOVA Test P>0.01", testStatistic.anovaTest(twoClasses, 0.01));
    }

}

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