mdiggory 2003/06/18 08:59:55 Added: math/src/test/org/apache/commons/math/stat StatUtilsTest.java Log: Initial Deposit for StatUtils unit testing, this was derived from StoreUnivariateImplTest. Revision Changes Path 1.1 jakarta-commons-sandbox/math/src/test/org/apache/commons/math/stat/StatUtilsTest.java Index: StatUtilsTest.java =================================================================== /* ==================================================================== * The Apache Software License, Version 1.1 * * Copyright (c) 2003 The Apache Software Foundation. All rights * reserved. * * Redistribution and use in source and binary forms, with or without * modification, are permitted provided that the following conditions * are met: * * 1. Redistributions of source code must retain the above copyright * notice, this list of conditions and the following disclaimer. * * 2. Redistributions in binary form must reproduce the above copyright * notice, this list of conditions and the following disclaimer in * the documentation and/or other materials provided with the * distribution. * * 3. The end-user documentation included with the redistribution, if * any, must include the following acknowlegement: * "This product includes software developed by the * Apache Software Foundation (http://www.apache.org/)." * Alternately, this acknowlegement may appear in the software itself, * if and wherever such third-party acknowlegements normally appear. * * 4. The names "The Jakarta Project", "Commons", and "Apache Software * Foundation" must not be used to endorse or promote products derived * from this software without prior written permission. For written * permission, please contact [EMAIL PROTECTED] * * 5. Products derived from this software may not be called "Apache" * nor may "Apache" appear in their names without prior written * permission of the Apache Software Foundation. * * THIS SOFTWARE IS PROVIDED ``AS IS'' AND ANY EXPRESSED OR IMPLIED * WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES * OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE * DISCLAIMED. IN NO EVENT SHALL THE APACHE SOFTWARE FOUNDATION OR * ITS CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, * SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT * LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF * USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND * ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, * OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT * OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF * SUCH DAMAGE. * ==================================================================== * * This software consists of voluntary contributions made by many * individuals on behalf of the Apache Software Foundation. For more * information on the Apache Software Foundation, please see * <http://www.apache.org/>. */ package org.apache.commons.math.stat; import junit.framework.Test; import junit.framework.TestCase; import junit.framework.TestSuite; /** * Test cases for the [EMAIL PROTECTED] StatUtils} class. * * @author <a href="mailto:[EMAIL PROTECTED]">Phil Steitz</a> * @author <a href="mailto:[EMAIL PROTECTED]">Mark Diggory</a> * @version $Revision: 1.1 $ $Date: 2003/06/18 15:59:55 $ */ public final class StatUtilsTest extends TestCase { private double one = 1; private float two = 2; private int three = 3; private double mean = 2; private double sumSq = 18; private double sum = 8; private double var = 0.666666666666666666667; private double std = Math.sqrt(var); private double n = 4; private double min = 1; private double max = 3; private double skewness = 0; private double kurtosis = 0.5; private int kClass = StoreUnivariate.LEPTOKURTIC; private double tolerance = 10E-15; public StatUtilsTest(String name) { super(name); } public void setUp() { } public static Test suite() { TestSuite suite = new TestSuite(StatUtilsTest.class); suite.setName("StatUtil Tests"); return suite; } /** test stats */ public void testStats() { double[] values = new double[] { one, two, two, three }; assertEquals("sum", sum, StatUtils.sum(values), tolerance); assertEquals("sumsq", sumSq, StatUtils.sumSq(values), tolerance); assertEquals("var", var, StatUtils.variance(values), tolerance); assertEquals( "std", std, StatUtils.standardDeviation(values), tolerance); assertEquals("mean", mean, StatUtils.mean(values), tolerance); assertEquals("min", min, StatUtils.min(values), tolerance); assertEquals("max", max, StatUtils.max(values), tolerance); } public void testN0andN1Conditions() throws Exception { double[] values = new double[0]; assertTrue( "Mean of n = 0 set should be NaN", Double.isNaN(StatUtils.mean(values))); assertTrue( "Standard Deviation of n = 0 set should be NaN", Double.isNaN(StatUtils.standardDeviation(values))); assertTrue( "Variance of n = 0 set should be NaN", Double.isNaN(StatUtils.variance(values))); values = new double[] { one }; assertTrue( "Mean of n = 1 set should be value of single item n1", StatUtils.mean(values) == one); assertTrue( "StdDev of n = 1 set should be zero, instead it is: " + StatUtils.standardDeviation(values), StatUtils.standardDeviation(values) == 0); assertTrue( "Variance of n = 1 set should be zero", StatUtils.variance(values) == 0); } public void testSkewAndKurtosis() { double[] values = { 12.5, 12, 11.8, 14.2, 14.9, 14.5, 21, 8.2, 10.3, 11.3, 14.1, 9.9, 12.2, 12, 12.1, 11, 19.8, 11, 10, 8.8, 9, 12.3 }; assertEquals("mean", 12.40455, StatUtils.mean(values), 0.0001); assertEquals("variance", 10.00236, StatUtils.variance(values), 0.0001); assertEquals("skewness", 1.437424, StatUtils.skewness(values), 0.0001); assertEquals("kurtosis", 2.37719, StatUtils.kurtosis(values), 0.0001); } public void testProductAndGeometricMean() throws Exception { double[] values = { 1.0, 2.0, 3.0, 4.0 }; assertEquals( "Product not expected", 24.0, StatUtils.product(values), Double.MIN_VALUE); assertEquals( "Geometric mean not expected", 2.213364, StatUtils.geometricMean(values), 0.00001); } }
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