/*
* DifferenceStatistic.java
*
* Copyright (c) 2002-2015 Alexei Drummond, Andrew Rambaut and Marc Suchard
*
* This file is part of BEAST.
* See the NOTICE file distributed with this work for additional
* information regarding copyright ownership and licensing.
*
* BEAST 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
* of the License, or (at your option) any later version.
*
* BEAST 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 BEAST; if not, write to the
* Free Software Foundation, Inc., 51 Franklin St, Fifth Floor,
* Boston, MA 02110-1301 USA
*/
package dr.inference.model;
/**
* @author Andrew Rambaut
* @author Alexei Drummond
* @version $Id: ProductStatistic.java,v 1.2 2005/05/24 20:26:00 rambaut Exp $
*/
public class DifferenceStatistic extends Statistic.Abstract {
private final boolean absolute;
public DifferenceStatistic(String name, Statistic term1, Statistic term2, boolean absolute) {
super(name);
this.term1 = term1;
this.term2 = term2;
if (term1.getDimension() != 1 &&
term2.getDimension() != 1 &&
term1.getDimension() != term2.getDimension()) {
throw new IllegalArgumentException();
}
if (term2.getDimension() == 1) {
dimension = term1.getDimension();
} else {
dimension = term2.getDimension();
}
this.absolute = absolute;
}
public int getDimension() {
return dimension;
}
/**
* @return mean of contained statistics
*/
public double getStatisticValue(int dim) {
double statistic;
if (term1.getDimension() == 1) {
statistic = term1.getStatisticValue(0) - term2.getStatisticValue(dim);
} else if (term2.getDimension() == 1) {
statistic = term1.getStatisticValue(dim) - term1.getStatisticValue(0);
} else {
statistic = term1.getStatisticValue(dim) - term2.getStatisticValue(dim);
}
if (absolute) statistic = Math.abs(statistic);
return statistic;
}
// ****************************************************************
// Private and protected stuff
// ****************************************************************
private int dimension = 0;
private Statistic term1 = null;
private Statistic term2 = null;
}