boxandwhiskercalculator.java

Web图形化的Java库

/* ======================================
 * JFreeChart : a free Java chart library
 * ======================================
 *
 * Project Info:  http://www.jfree.org/jfreechart/index.html
 * Project Lead:  David Gilbert ([e-mail]);
 *
 * (C) Copyright 2000-2003, by Object Refinery Limited and Contributors.
 *
 * 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.
 *
 * ----------------------------
 * BoxAndWhiskerCalculator.java
 * ----------------------------
 * (C) Copyright 2003 by Object Refinery Limited and Contributors.
 *
 * Original Author:  David Gilbert (for Object Refinery Limited);
 * Contributor(s):   -;
 *
 * $Id: BoxAndWhiskerCalculator.java,v 1.2 2003/09/03 15:08:51 mungady Exp $
 *
 * Changes
 * -------
 * 28-Aug-2003 : Version 1 (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 Number objects.
 */
public class BoxAndWhiskerCalculator {
    
    /**
     * Calculates the statistics required for a {@link BoxAndWhiskerItem}.
     * 
     * @param values A list of numbers.
     * 
     * @return Box-and-whisker statistics.
     */
    public static BoxAndWhiskerItem calculateBoxAndWhiskerStatistics(List values) {
        
        Collections.sort(values);
        
        double mean = calculateMean(values);
        double median = calculateMedian(values);
        double q1 = calculateQ1(values);
        double q3 = calculateQ3(values);
        
        double interQuartileRange = q3 - q1;
        
        double upperOutlierThreshold = q1 + (interQuartileRange * 1.5);
        double lowerOutlierThreshold = q3 - (interQuartileRange * 1.5);
        
        double upperFaroutThreshold = q1 + (interQuartileRange * 2.0);
        double lowerFaroutThreshold = q3 - (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
        );
        
    }

    /**
     * Returns the mean of a list of numbers.
     * 
     * @param values  a list of numbers.
     * 
     * @return The mean.
     */
    public static double calculateMean(List values) {
        
        double result = Double.NaN;
        int count = 0;
        double total = 0.0;
        Iterator iterator = values.iterator();
        while (iterator.hasNext()) {
            Object object = iterator.next();
            if (object != null && object instanceof Number) {
                Number number = (Number) object;
                total = total + number.doubleValue();
                count = count + 1;
            }
        }
        if (count > 0) {
            result = total / count;
        }
        
        return result;
        
    }
    
    /**
     * Calculates the median for a list of values (Number objects) that are in ascending order.
     * 
     * @param values  the values in ascending order.
     * 
     * @return  The median.
     */
    public static double calculateMedian(List values) {
        
        return calculateMedian(values, 0, values.size() - 1);
        
    }
    
    /**
     * Calculates the median for a sublist within a list of values (Number objects) that are in 
     * ascending order.
     * 
     * @param values  the values in ascending order.
     * @param start  the start index.
     * @param end  the end index.
     * 
     * @return  The median.
     */
    public static double calculateMedian(List values, int start, int end) {
        
        double result = Double.NaN;
        
        int count = end - start + 1;
        if (count > 0) {
            if (count % 2 == 1) {
                if (count > 1) {
                
                    Number value = (Number) values.get(start + count / 2 + 1);
                    result = value.doubleValue();
                  
                }
                else {
                    Number value = (Number) values.get(start);
                    result = value.doubleValue();
                }
            }
            else {
                Number value1 = (Number) values.get(start + count / 2 - 1);
                Number value2 = (Number) values.get(start + count / 2);
                result = (value1.doubleValue() + value2.doubleValue()) / 2.0;
            }
        }
        return result;        
        
    }

    /**
     * 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 = calculateMedian(values, 0, count / 2);
                }
                else {
                    result = calculateMedian(values, 0, 0);
                }
            }
            else {
                result = calculateMedian(values, 0, count / 2);
            }
            
        }
        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 = calculateMedian(values, count / 2 + 1, count - 1);
                }
                else {
                    result = calculateMedian(values, 0, 0);
                }
            }
            else {
                result = calculateMedian(values, count / 2 + 1, count - 1);
            }
            
        }
        return result;
    }

}