/*
* LogFileTraceExporter.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.trace;
import dr.util.TabularData;
import java.io.File;
import java.io.IOException;
/**
* Export trace analysis data such as mean,median,HPD and ESS of trace variables.
*
* @author Joseph Heled
* Date: 25/10/2007
*/
public class LogFileTraceExporter extends TabularData {
private final LogFileTraces analysis;
private final String[] rows = {"mean", "median", "hpdLower", "hpdUpper", "ESS"};
TraceCorrelation[] distributions;
public LogFileTraceExporter(File file, int burnin) throws TraceException, IOException {
analysis = new LogFileTraces(file.getCanonicalPath(), file);
analysis.loadTraces();
if (burnin >= 0) {
analysis.setBurnIn(burnin);
}
distributions = new TraceCorrelation[nColumns()];
}
public int nColumns() {
return analysis.getTraceCount();
}
public String columnName(int nColumn) {
return analysis.getTraceName(nColumn);
}
public int nRows() {
return rows.length;
}
public Object data(int nRow, int nColumn) {
// read on demand
if (distributions[nColumn] == null) {
analysis.analyseTrace(nColumn);
distributions[nColumn] = analysis.getCorrelationStatistics(nColumn);
}
TraceCorrelation distribution = distributions[nColumn];
switch (nRow) {
case 0: {
return distribution.getMean();
}
case 1: {
return distribution.getMedian();
}
case 2: {
return distribution.getLowerHPD();
}
case 3: {
return distribution.getUpperHPD();
}
case 4: {
return distribution.getESS();
}
}
return null;
}
}