/* ===========================================================
* JFreeChart : a free chart library for the Java(tm) platform
* ===========================================================
*
* (C) Copyright 2000-2011, 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.
*
* [Oracle and Java are registered trademarks of Oracle and/or its affiliates.
* Other names may be trademarks of their respective owners.]
*
* ---------------------------
* NormalizedMatrixSeries.java
* ---------------------------
* (C) Copyright 2003-2008, by Barak Naveh and Contributors.
*
* Original Author: Barak Naveh;
* Contributor(s): David Gilbert (for Object Refinery Limited);
*
* Changes
* -------
* 10-Jul-2003 : Version 1 contributed by Barak Naveh (DG);
* 02-Feb-2007 : Removed author tags all over JFreeChart sources (DG);
*
*/
package org.jfree.data.xy;
/**
* Represents a dense normalized matrix M[i,j] where each Mij item of the
* matrix has a value (default is 0). When a matrix item is observed using
* <code>getItem</code> method, it is normalized, that is, divided by the
* total sum of all items. It can be also be scaled by setting a scale factor.
*/
public class NormalizedMatrixSeries extends MatrixSeries {
/** The default scale factor. */
public static final double DEFAULT_SCALE_FACTOR = 1.0;
/**
* A factor that multiplies each item in this series when observed using
* getItem method.
*/
private double m_scaleFactor = DEFAULT_SCALE_FACTOR;
/** The sum of all items in this matrix */
private double m_totalSum;
/**
* Constructor for NormalizedMatrixSeries.
*
* @param name the series name.
* @param rows the number of rows.
* @param columns the number of columns.
*/
public NormalizedMatrixSeries(String name, int rows, int columns) {
super(name, rows, columns);
/*
* we assum super is always initialized to all-zero matrix, so the
* total sum should be 0 upon initialization. However, we set it to
* Double.MIN_VALUE to get the same effect and yet avoid division by 0
* upon initialization.
*/
this.m_totalSum = Double.MIN_VALUE;
}
/**
* Returns an item.
*
* @param itemIndex the index.
*
* @return The value.
*
* @see org.jfree.data.xy.MatrixSeries#getItem(int)
*/
public Number getItem(int itemIndex) {
int i = getItemRow(itemIndex);
int j = getItemColumn(itemIndex);
double mij = get(i, j) * this.m_scaleFactor;
Number n = new Double(mij / this.m_totalSum);
return n;
}
/**
* Sets the factor that multiplies each item in this series when observed
* using getItem mehtod.
*
* @param factor new factor to set.
*
* @see #DEFAULT_SCALE_FACTOR
*/
public void setScaleFactor(double factor) {
this.m_scaleFactor = factor;
// FIXME: this should generate a series change event
}
/**
* Returns the factor that multiplies each item in this series when
* observed using getItem mehtod.
*
* @return The factor
*/
public double getScaleFactor() {
return this.m_scaleFactor;
}
/**
* Updates the value of the specified item in this matrix series.
*
* @param i the row of the item.
* @param j the column of the item.
* @param mij the new value for the item.
*
* @see #get(int, int)
*/
public void update(int i, int j, double mij) {
this.m_totalSum -= get(i, j);
this.m_totalSum += mij;
super.update(i, j, mij);
}
/**
* @see org.jfree.data.xy.MatrixSeries#zeroAll()
*/
public void zeroAll() {
this.m_totalSum = 0;
super.zeroAll();
}
}
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