Fixing GeoMean and adding appropriate test.
git-svn-id: https://svn.apache.org/repos/asf/jakarta/commons/proper/math/trunk@140972 13f79535-47bb-0310-9956-ffa450edef68
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@ -53,18 +53,17 @@
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*/
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*/
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package org.apache.commons.math.stat.univariate.moment;
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package org.apache.commons.math.stat.univariate.moment;
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import org.apache.commons.math.stat.univariate.AbstractStorelessUnivariateStatistic;
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import org.apache.commons.math.stat.univariate.summary.SumOfLogs;
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import org.apache.commons.math.stat.univariate.summary.SumOfLogs;
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/**
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/**
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* @author Mark Diggory
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* @author Mark Diggory
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*
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*
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*/
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*/
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public class GeometricMean extends AbstractStorelessUnivariateStatistic {
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public class GeometricMean extends SumOfLogs {
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private SumOfLogs sumLog = new SumOfLogs();
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//private SumOfLogs sumLog = new SumOfLogs();
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private double value = Double.NaN;
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private double geoMean = Double.NaN;
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private int n = 0;
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private int n = 0;
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@ -73,22 +72,22 @@ public class GeometricMean extends AbstractStorelessUnivariateStatistic {
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*/
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*/
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public double increment(double d) {
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public double increment(double d) {
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n++;
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n++;
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return Math.exp( sumLog.increment(d) / (double)n );
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return geoMean = Math.exp( super.increment(d) / (double)n );
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}
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}
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/**
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/**
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* @see org.apache.commons.math.stat.univariate.StorelessUnivariateStatistic#getValue()
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* @see org.apache.commons.math.stat.univariate.StorelessUnivariateStatistic#getValue()
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*/
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*/
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public double getValue() {
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public double getValue() {
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return value;
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return geoMean;
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}
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}
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/**
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/**
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* @see org.apache.commons.math.stat.univariate.StorelessUnivariateStatistic#clear()
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* @see org.apache.commons.math.stat.univariate.StorelessUnivariateStatistic#clear()
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*/
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*/
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public void clear() {
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public void clear() {
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value = Double.NaN;
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super.clear();
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sumLog.clear();
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geoMean = Double.NaN;
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n = 0;
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n = 0;
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}
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}
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@ -96,7 +95,7 @@ public class GeometricMean extends AbstractStorelessUnivariateStatistic {
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* @see org.apache.commons.math.stat.univariate.UnivariateStatistic#evaluate(double[], int, int)
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* @see org.apache.commons.math.stat.univariate.UnivariateStatistic#evaluate(double[], int, int)
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*/
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*/
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public double evaluate(double[] values, int begin, int length) {
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public double evaluate(double[] values, int begin, int length) {
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return Math.exp(sumLog.evaluate(values, begin, length) / (double) length );
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return Math.exp(super.evaluate(values, begin, length) / (double) length );
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}
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}
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@ -0,0 +1,103 @@
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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.univariate.moment;
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import junit.framework.Test;
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import junit.framework.TestSuite;
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import org.apache.commons.math.stat.univariate.StorelessUnivariateStatisticAbstractTest;
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import org.apache.commons.math.stat.univariate.UnivariateStatistic;
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import org.apache.commons.math.stat.univariate.UnivariateStatisticAbstractTest;
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/**
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* Test cases for the {@link UnivariateStatistic} class.
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*
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* @author Mark Diggory
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*/
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public class GeometricMeanTest extends StorelessUnivariateStatisticAbstractTest{
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protected GeometricMean stat;
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/**
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* @param name
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*/
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public GeometricMeanTest(String name) {
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super(name);
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}
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public static Test suite() {
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TestSuite suite = new TestSuite(GeometricMeanTest.class);
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suite.setName("Mean Tests");
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return suite;
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}
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/* (non-Javadoc)
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* @see org.apache.commons.math.stat.univariate.UnivariateStatisticAbstractTest#getUnivariateStatistic()
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*/
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public UnivariateStatistic getUnivariateStatistic() {
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if(stat == null)
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stat = new GeometricMean();
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return stat;
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}
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/* (non-Javadoc)
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* @see org.apache.commons.math.stat.univariate.UnivariateStatisticAbstractTest#expectedValue()
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*/
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public double expectedValue() {
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return this.geoMean;
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}
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}
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