boxandwhiskercalculator.java

来自「JfreeChart 常用图表例子」· Java 代码 · 共 205 行

/* ===========================================================
 * JFreeChart : a free chart library for the Java(tm) platform
 * ===========================================================
 *
 * (C) Copyright 2000-2005, by Object Refinery Limited and Contributors.
 *
 * Project Info:  http://www.jfree.org/jfreechart/index.html
 *
 * This library is free software; you can redistribute it and/or modify it 
 * under the terms of the GNU Lesser General Public License as published by 
 * the Free Software Foundation; either version 2.1 of the License, or 
 * (at your option) any later version.
 *
 * This library is distributed in the hope that it will be useful, but 
 * WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY 
 * or FITNESS FOR A PARTICULAR PURPOSE. See the GNU Lesser General Public 
 * License for more details.
 *
 * You should have received a copy of the GNU Lesser General Public License 
 * along with this library; if not, write to the Free Software Foundation, 
 * Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307, USA.
 *
 * [Java is a trademark or registered trademark of Sun Microsystems, Inc. 
 * in the United States and other countries.]
 *
 * ----------------------------
 * BoxAndWhiskerCalculator.java
 * ----------------------------
 * (C) Copyright 2003-2005,  by Object Refinery Limited and Contributors.
 *
 * Original Author:  David Gilbert (for Object Refinery Limited);
 * Contributor(s):   -;
 *
 * $Id: BoxAndWhiskerCalculator.java,v 1.3 2005/02/09 13:51:57 mungady Exp $
 *
 * Changes
 * -------
 * 28-Aug-2003 : Version 1 (DG);
 * 17-Nov-2003 : Fixed bug in calculations of outliers and median (DG);
 * 10-Jan-2005 : Removed deprecated methods in preparation for 1.0.0 
 *               release (DG);
 *
 */

package org.jfree.data.statistics;

import java.util.ArrayList;
import java.util.Collections;
import java.util.Iterator;
import java.util.List;

/**
 * A utility class that calculates the mean, median, quartiles Q1 and Q3, plus
 * a list of outlier values...all from an arbitrary list of 
 * <code>Number</code> objects.
 */
public abstract class BoxAndWhiskerCalculator {
    
    /**
     * Calculates the statistics required for a {@link BoxAndWhiskerItem}.
     * <P>
     * Any items in the list that are not instances of the <code>Number</code> 
     * class are ignored. Likewise, <code>null</code> values are ignored.
     * 
     * @param values  a list of numbers (a <code>null</code> list is not 
     *                permitted).
     * 
     * @return Box-and-whisker statistics.
     */
    public static BoxAndWhiskerItem calculateBoxAndWhiskerStatistics(
                                        List values) {
        
        Collections.sort(values);
        
        double mean = Statistics.calculateMean(values);
        double median = Statistics.calculateMedian(values, false);
        double q1 = calculateQ1(values);
        double q3 = calculateQ3(values);
        
        double interQuartileRange = q3 - q1;
        
        double upperOutlierThreshold = q3 + (interQuartileRange * 1.5);
        double lowerOutlierThreshold = q1 - (interQuartileRange * 1.5);
        
        double upperFaroutThreshold = q3 + (interQuartileRange * 2.0);
        double lowerFaroutThreshold = q1 - (interQuartileRange * 2.0);

        double minRegularValue = Double.POSITIVE_INFINITY;
        double maxRegularValue = Double.NEGATIVE_INFINITY;
        double minOutlier = Double.POSITIVE_INFINITY;
        double maxOutlier = Double.NEGATIVE_INFINITY;
        List outliers = new ArrayList();
        
        Iterator iterator = values.iterator();
        while (iterator.hasNext()) {
            Object object = iterator.next();
            if (object != null && object instanceof Number) {
                Number number = (Number) object;
                double value = number.doubleValue();
                if (value > upperOutlierThreshold) {
                    outliers.add(number);
                    if (value > maxOutlier && value <= upperFaroutThreshold) {
                        maxOutlier = value;
                    }
                }
                else if (value < lowerOutlierThreshold) {
                    outliers.add(number);                    
                    if (value < minOutlier && value >= lowerFaroutThreshold) {
                        minOutlier = value;
                    }
                }
                else {
                    if (minRegularValue == Double.NaN) {
                        minRegularValue = value;
                    }
                    else {
                        minRegularValue = Math.min(minRegularValue, value);
                    }
                    if (maxRegularValue == Double.NaN) {
                        maxRegularValue = value;
                    }
                    else {
                        maxRegularValue = Math.max(maxRegularValue, value);
                    }
                }
                
            }
        }
        minOutlier = Math.min(minOutlier, minRegularValue);
        maxOutlier = Math.max(maxOutlier, maxRegularValue);
        
        return new BoxAndWhiskerItem(
            new Double(mean),
            new Double(median),
            new Double(q1),
            new Double(q3),
            new Double(minRegularValue),
            new Double(maxRegularValue),
            new Double(minOutlier),
            new Double(maxOutlier),
            outliers
        );
        
    }

    /**
     * Calculates the first quartile for a list of numbers in ascending order.
     * 
     * @param values  the numbers in ascending order.
     * 
     * @return The first quartile.
     */
    public static double calculateQ1(List values) {
        double result = Double.NaN;
        int count = values.size();
        if (count > 0) {
            if (count % 2 == 1) {
                if (count > 1) {
                    result = Statistics.calculateMedian(values, 0, count / 2);
                }
                else {
                    result = Statistics.calculateMedian(values, 0, 0);
                }
            }
            else {
                result = Statistics.calculateMedian(values, 0, count / 2 - 1);
            }
            
        }
        return result;
    }
    
    /**
     * Calculates the third quartile for a list of numbers in ascending order.
     * 
     * @param values  the list of values.
     * 
     * @return The third quartile.
     */
    public static double calculateQ3(List values) {
        double result = Double.NaN;
        int count = values.size();
        if (count > 0) {
            if (count % 2 == 1) {
                if (count > 1) {
                    result = Statistics.calculateMedian(
                        values, count / 2, count - 1
                    );
                }
                else {
                    result = Statistics.calculateMedian(values, 0, 0);
                }
            }
            else {
                result = Statistics.calculateMedian(
                    values, count / 2, count - 1
                );
            }
            
        }
        return result;
    }
    
}