/* * TreeShapeStatistic.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.evomodel.tree; import dr.evolution.tree.Tree; import dr.evolution.tree.TreeShape; import dr.evolution.tree.TreeUtils; import dr.inference.model.Statistic; /** * A statistic that returns the values of various tree shape statistics. * * @author Alexei Drummond * @version $Id: TreeShapeStatistic.java,v 1.4 2005/07/11 14:06:25 rambaut Exp $ */ public class TreeShapeStatistic extends Statistic.Abstract implements TreeStatistic { public TreeShapeStatistic(String name, TreeModel target) { super(name); this.target = target; ultrametric = TreeUtils.isUltrametric(target); } public void setTree(Tree tree) { this.target = tree; } public Tree getTree() { return target; } public int getDimension() { if (ultrametric) return 5; return 4; } public String getDimensionName(int dim) { switch (dim) { case 0: return "N-bar"; case 1: return "N-bar-var"; case 2: return "C"; case 3: return "B1"; case 4: return "gamma"; } throw new IllegalArgumentException("Dimension doesn't exist!"); } /** * @return value. */ public double getStatisticValue(int dim) { switch (dim) { case 0: return TreeShape.getNBarStatistic(target); case 1: return TreeShape.getVarNBarStatistic(target); case 2: return TreeShape.getCStatistic(target); case 3: return TreeShape.getB1Statistic(target); case 4: return TreeShape.getGammaStatistic(target); } throw new IllegalArgumentException("Dimension doesn't exist!"); } private Tree target = null; private boolean ultrametric = false; }