Java tutorial
/** * Copyright (C) 2009 * Computational Intelligence Research Group (CIRG@UP) * Department of Computer Science * University of Pretoria * South Africa * * This program is free software; you can redistribute it and/or modify * it under the terms of the GNU General Public License as published by * the Free Software Foundation; either version 2 of the License, or * (at your option) any later version. * * This program 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 General Public License for more details. * * You should have received a copy of the GNU General Public License * along with this program; if not, write to the Free Software * Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA */ package cs.cirg.cida.components; import cs.cirg.cida.experiment.IExperiment; import java.util.ArrayList; import java.util.List; import javax.swing.table.AbstractTableModel; import org.apache.commons.math.stat.descriptive.DescriptiveStatistics; import org.apache.commons.math.stat.descriptive.rank.Median; /** * * @author andrich */ public class SynopsisTableModel extends AbstractTableModel { List<IExperiment> experiments; List<String> variables; public SynopsisTableModel() { experiments = new ArrayList<IExperiment>(); variables = new ArrayList<String>(); } public SynopsisTableModel(SynopsisTableModel orig) { experiments = orig.experiments; variables = orig.variables; } public int getRowCount() { return experiments.size(); } public int getColumnCount() { return variables.size() * 3 + 1; } @Override public String getColumnName(int column) { if (column == 0) { return ""; } if (column % 3 == 1) { return variables.get((column - 1) / 3) + " Mean"; } if (column % 3 == 2) { return variables.get((column - 1) / 3) + " Median"; } return variables.get((column - 1) / 3) + " StdDev"; } @Override public Object getValueAt(int rowIndex, int columnIndex) { if (columnIndex == 0) { return experiments.get(rowIndex).getName(); } if (columnIndex % 3 == 1) { DescriptiveStatistics descriptiveStatistics = experiments.get(rowIndex) .getBottomRowStatistics(variables.get((columnIndex - 1) / 3)); return descriptiveStatistics.getMean(); } if (columnIndex % 3 == 2) { DescriptiveStatistics descriptiveStatistics = experiments.get(rowIndex) .getBottomRowStatistics(variables.get((columnIndex - 1) / 3)); return descriptiveStatistics.apply(new Median()); } DescriptiveStatistics descriptiveStatistics = experiments.get(rowIndex) .getBottomRowStatistics(variables.get((columnIndex - 1) / 3)); return descriptiveStatistics.getStandardDeviation(); } public List<IExperiment> getExperiments() { return experiments; } public void setExperiments(List<IExperiment> experiments) { this.experiments = experiments; } public boolean addVariable(String variableName) { if (!this.getVariables().contains(variableName)) { this.getVariables().add(variableName); return true; } return false; } public boolean addExperiment(IExperiment experiment) { if (!this.getExperiments().contains(experiment)) { this.getExperiments().add(experiment); return true; } return false; } public List<String> getVariables() { return variables; } public void setVariables(List<String> variables) { this.variables = variables; } }