Initial Deposit for StatUtils unit testing, this was derived from StoreUnivariateImplTest.
git-svn-id: https://svn.apache.org/repos/asf/jakarta/commons/proper/math/trunk@140926 13f79535-47bb-0310-9956-ffa450edef68
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Mark R. Diggory
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/* ====================================================================
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* The Apache Software License, Version 1.1
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*
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* Copyright (c) 2003 The Apache Software Foundation. All rights
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* reserved.
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*
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* Redistribution and use in source and binary forms, with or without
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* modification, are permitted provided that the following conditions
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* are met:
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*
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* 1. Redistributions of source code must retain the above copyright
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* notice, this list of conditions and the following disclaimer.
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*
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* 2. Redistributions in binary form must reproduce the above copyright
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* notice, this list of conditions and the following disclaimer in
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* the documentation and/or other materials provided with the
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* distribution.
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*
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* 3. The end-user documentation included with the redistribution, if
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* any, must include the following acknowlegement:
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* "This product includes software developed by the
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* Apache Software Foundation (http://www.apache.org/)."
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* Alternately, this acknowlegement may appear in the software itself,
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* if and wherever such third-party acknowlegements normally appear.
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*
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* 4. The names "The Jakarta Project", "Commons", and "Apache Software
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* Foundation" must not be used to endorse or promote products derived
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* from this software without prior written permission. For written
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* permission, please contact apache@apache.org.
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*
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* 5. Products derived from this software may not be called "Apache"
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* nor may "Apache" appear in their names without prior written
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* permission of the Apache Software Foundation.
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*
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* THIS SOFTWARE IS PROVIDED ``AS IS'' AND ANY EXPRESSED OR IMPLIED
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* WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES
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* OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
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* DISCLAIMED. IN NO EVENT SHALL THE APACHE SOFTWARE FOUNDATION OR
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* ITS CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL,
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* SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT
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* LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF
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* USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND
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* ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY,
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* OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT
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* OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF
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* SUCH DAMAGE.
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* ====================================================================
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*
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* This software consists of voluntary contributions made by many
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* individuals on behalf of the Apache Software Foundation. For more
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* information on the Apache Software Foundation, please see
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* <http://www.apache.org/>.
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*/
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package org.apache.commons.math.stat;
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import junit.framework.Test;
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import junit.framework.TestCase;
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import junit.framework.TestSuite;
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/**
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* Test cases for the {@link StatUtils} class.
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*
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* @author <a href="mailto:phil@steitz.com">Phil Steitz</a>
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* @author <a href="mailto:mdiggory@apache.org">Mark Diggory</a>
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* @version $Revision: 1.1 $ $Date: 2003/06/18 15:59:55 $
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*/
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public final class StatUtilsTest extends TestCase {
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private double one = 1;
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private float two = 2;
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private int three = 3;
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private double mean = 2;
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private double sumSq = 18;
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private double sum = 8;
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private double var = 0.666666666666666666667;
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private double std = Math.sqrt(var);
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private double n = 4;
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private double min = 1;
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private double max = 3;
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private double skewness = 0;
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private double kurtosis = 0.5;
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private int kClass = StoreUnivariate.LEPTOKURTIC;
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private double tolerance = 10E-15;
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public StatUtilsTest(String name) {
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super(name);
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}
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public void setUp() {
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}
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public static Test suite() {
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TestSuite suite = new TestSuite(StatUtilsTest.class);
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suite.setName("StatUtil Tests");
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return suite;
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}
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/** test stats */
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public void testStats() {
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double[] values = new double[] { one, two, two, three };
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assertEquals("sum", sum, StatUtils.sum(values), tolerance);
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assertEquals("sumsq", sumSq, StatUtils.sumSq(values), tolerance);
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assertEquals("var", var, StatUtils.variance(values), tolerance);
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assertEquals(
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"std",
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std,
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StatUtils.standardDeviation(values),
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tolerance);
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assertEquals("mean", mean, StatUtils.mean(values), tolerance);
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assertEquals("min", min, StatUtils.min(values), tolerance);
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assertEquals("max", max, StatUtils.max(values), tolerance);
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}
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public void testN0andN1Conditions() throws Exception {
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double[] values = new double[0];
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assertTrue(
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"Mean of n = 0 set should be NaN",
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Double.isNaN(StatUtils.mean(values)));
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assertTrue(
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"Standard Deviation of n = 0 set should be NaN",
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Double.isNaN(StatUtils.standardDeviation(values)));
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assertTrue(
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"Variance of n = 0 set should be NaN",
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Double.isNaN(StatUtils.variance(values)));
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values = new double[] { one };
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assertTrue(
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"Mean of n = 1 set should be value of single item n1",
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StatUtils.mean(values) == one);
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assertTrue(
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"StdDev of n = 1 set should be zero, instead it is: "
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+ StatUtils.standardDeviation(values),
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StatUtils.standardDeviation(values) == 0);
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assertTrue(
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"Variance of n = 1 set should be zero",
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StatUtils.variance(values) == 0);
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}
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public void testSkewAndKurtosis() {
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double[] values =
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{
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12.5,
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12,
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11.8,
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14.2,
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14.9,
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14.5,
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21,
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8.2,
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10.3,
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11.3,
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14.1,
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9.9,
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12.2,
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12,
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12.1,
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11,
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19.8,
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11,
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10,
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8.8,
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9,
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12.3 };
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assertEquals("mean", 12.40455, StatUtils.mean(values), 0.0001);
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assertEquals("variance", 10.00236, StatUtils.variance(values), 0.0001);
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assertEquals("skewness", 1.437424, StatUtils.skewness(values), 0.0001);
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assertEquals("kurtosis", 2.37719, StatUtils.kurtosis(values), 0.0001);
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}
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public void testProductAndGeometricMean() throws Exception {
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double[] values = { 1.0, 2.0, 3.0, 4.0 };
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assertEquals(
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"Product not expected",
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24.0,
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StatUtils.product(values),
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Double.MIN_VALUE);
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assertEquals(
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"Geometric mean not expected",
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2.213364,
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StatUtils.geometricMean(values),
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0.00001);
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}
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}
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