/* * Copyright (c) 2009 The Jackson Laboratory * * This software was developed by Gary Churchill's Lab at The Jackson * Laboratory (see http://research.jax.org/faculty/churchill). * * This 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 3 of the License, or * (at your option) any later version. * * This software 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 software. If not, see <http://www.gnu.org/licenses/>. */ package org.jax.analyticgraph.graph.histogram; import java.util.Random; import javax.swing.WindowConstants; import org.jax.analyticgraph.data.NamedRealData; import org.jax.analyticgraph.framework.GraphCoordinateConverter; import org.jax.analyticgraph.framework.SimpleGraphCoordinateConverter; /** * main tester for {@link Histogram} * @author <A HREF="mailto:keith.sheppard@jax.org">Keith Sheppard</A> */ public class HistogramMain { /** * main function for histogram tester * @param args * don't care */ public static void main(String[] args) { displayTestGUI(); } /** * Test method for testing the display GUI. */ private static void displayTestGUI() { javax.swing.JFrame frame = new javax.swing.JFrame(); org.jax.analyticgraph.framework.Graph2DComponent graphComponent = new org.jax.analyticgraph.framework.Graph2DComponent(); graphComponent.addGraph2D(createExampleHistogram()); frame.setContentPane(graphComponent); frame.setSize(1000, 500); frame.setDefaultCloseOperation(WindowConstants.EXIT_ON_CLOSE); frame.setVisible(true); frame.repaint(); } /** * Create a histogram with a normal distribution * @return * the histogram */ public static Histogram createExampleHistogram() { Random rand = new Random(); Double[] randomData = new Double[2000]; for(int i = 0; i < randomData.length; i++) { randomData[i] = rand.nextGaussian(); } NamedRealData namedRealDataX = new NamedRealData("Gaussian Distribution", randomData); GraphCoordinateConverter coordinateConverter = new SimpleGraphCoordinateConverter( 0.0, 0.0, 1.0, 1.0); Histogram histogram = new Histogram(coordinateConverter); histogram.setGraphData(namedRealDataX); return histogram; } }