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jfreechart example source code file (BoxAndWhiskerXYDataset.java)

This example jfreechart source code file (BoxAndWhiskerXYDataset.java) is included in the DevDaily.com "Java Source Code Warehouse" project. The intent of this project is to help you "Learn Java by Example" TM.

Java - jfreechart tags/keywords

boxandwhiskerxydataset, boxandwhiskerxydataset, list, list, number, number, util, xydataset, xydataset

The jfreechart BoxAndWhiskerXYDataset.java source code

/* ===========================================================
 * JFreeChart : a free chart library for the Java(tm) platform
 * ===========================================================
 *
 * (C) Copyright 2000-2008, 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., 51 Franklin Street, Fifth Floor, Boston, MA  02110-1301,
 * USA.
 *
 * [Java is a trademark or registered trademark of Sun Microsystems, Inc.
 * in the United States and other countries.]
 *
 * ---------------------------
 * BoxAndWhiskerXYDataset.java
 * ---------------------------
 * (C) Copyright 2003-2008, by David Browning and Contributors.
 *
 * Original Author:  David Browning (for Australian Institute of Marine
 *                   Science);
 * Contributor(s):   David Gilbert (for Object Refinery Limited);
 *
 * Changes
 * -------
 * 05-Aug-2003 : Version 1, contributed by David Browning (DG);
 * 12-Aug-2003 : Added new methods: getMaxNonOutlierValue
 *                                  getMaxNonFaroutValue
 *                                  getOutlierCoefficient
 *                                  setOutlierCoefficient
 *                                  getFaroutCoefficient
 *                                  setFaroutCoefficient
 *                                  getInterquartileRange (DB)
 * 27-Aug-2003 : Renamed BoxAndWhiskerDataset --> BoxAndWhiskerXYDataset, and
 *               cut down methods (DG);
 * ------------- JFREECHART 1.0.x ---------------------------------------------
 * 02-Feb-2007 : Removed author tags from all over JFreeChart sources (DG);
 *
 */

package org.jfree.data.statistics;

import java.util.List;

import org.jfree.data.xy.XYDataset;

/**
 * An interface that defines data in the form of (x, max, min, average, median)
 * tuples.
 * <P>
 * Example: JFreeChart uses this interface to obtain data for AIMS
 * max-min-average-median plots.
 */
public interface BoxAndWhiskerXYDataset extends XYDataset {

    /**
     * Returns the mean for the specified series and item.
     *
     * @param series  the series (zero-based index).
     * @param item  the item (zero-based index).
     *
     * @return The mean for the specified series and item.
     */
    public Number getMeanValue(int series, int item);

    /**
     * Returns the median-value for the specified series and item.
     *
     * @param series  the series (zero-based index).
     * @param item  the item (zero-based index).
     *
     * @return The median-value for the specified series and item.
     */
    public Number getMedianValue(int series, int item);

    /**
     * Returns the Q1 median-value for the specified series and item.
     *
     * @param series  the series (zero-based index).
     * @param item  the item (zero-based index).
     *
     * @return The Q1 median-value for the specified series and item.
     */
    public Number getQ1Value(int series, int item);

    /**
     * Returns the Q3 median-value for the specified series and item.
     *
     * @param series  the series (zero-based index).
     * @param item  the item (zero-based index).
     *
     * @return The Q3 median-value for the specified series and item.
     */
    public Number getQ3Value(int series, int item);

    /**
     * Returns the min-value for the specified series and item.
     *
     * @param series  the series (zero-based index).
     * @param item  the item (zero-based index).
     *
     * @return The min-value for the specified series and item.
     */
    public Number getMinRegularValue(int series, int item);

    /**
     * Returns the max-value for the specified series and item.
     *
     * @param series  the series (zero-based index).
     * @param item  the item (zero-based index).
     *
     * @return The max-value for the specified series and item.
     */
    public Number getMaxRegularValue(int series, int item);

    /**
     * Returns the minimum value which is not a farout.
     * @param series  the series (zero-based index).
     * @param item  the item (zero-based index).
     *
     * @return A <code>Number representing the maximum non-farout value.
     */
    public Number getMinOutlier(int series, int item);

    /**
     * Returns the maximum value which is not a farout, ie Q3 + (interquartile
     * range * farout coefficient).
     *
     * @param series  the series (zero-based index).
     * @param item  the item (zero-based index).
     *
     * @return A <code>Number representing the maximum non-farout value.
     */
    public Number getMaxOutlier(int series, int item);

    /**
     * Returns an array of outliers for the specified series and item.
     *
     * @param series  the series (zero-based index).
     * @param item  the item (zero-based index).
     *
     * @return The array of outliers for the specified series and item.
     */
    public List getOutliers(int series, int item);

    /**
     * Returns the value used as the outlier coefficient. The outlier
     * coefficient gives an indication of the degree of certainty in an
     * unskewed distribution.  Increasing the coefficient increases the number
     * of values included.  Currently only used to ensure farout coefficient
     * is greater than the outlier coefficient
     *
     * @return A <code>double representing the value used to calculate
     *         outliers
     */
    public double getOutlierCoefficient();

    /**
     * Returns the value used as the farout coefficient. The farout coefficient
     * allows the calculation of which values will be off the graph.
     *
     * @return A <code>double representing the value used to calculate
     *         farouts
     */
    public double getFaroutCoefficient();

}

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