/* * 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.scatterplot; import java.util.ArrayList; import java.util.List; import java.util.Random; import javax.swing.WindowConstants; import org.jax.analyticgraph.data.NamedData; import org.jax.analyticgraph.data.NamedDataMatrix; import org.jax.analyticgraph.data.NamedRealData; import org.jax.analyticgraph.data.SimpleSelectableNamedDataMatrix; import org.jax.analyticgraph.framework.GraphCoordinateConverter; import org.jax.analyticgraph.framework.SimpleGraphCoordinateConverter; /** * A tester mini-app for {@link ScatterPlot} * @author <A HREF="mailto:keith.sheppard@jax.org">Keith Sheppard</A> */ public class ScatterPlotMain { /** * Main method that displays scatterplot for bivariate normal * distribution. This is just a simple test of functionality. * @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(createExampleScatterPlot()); frame.setContentPane(graphComponent); frame.setSize(1000, 500); frame.setDefaultCloseOperation(WindowConstants.EXIT_ON_CLOSE); frame.setVisible(true); frame.repaint(); } /** * Create a scatter plot interior with a bivariate normal distribution * @return * the scatter plot interior */ public static ScatterPlot createExampleScatterPlot() { Random rand = new Random(); Double[] randomData1 = new Double[2000]; Double[] randomData2 = new Double[randomData1.length]; for(int i = 0; i < randomData1.length; i++) { randomData1[i] = rand.nextGaussian(); randomData2[i] = rand.nextGaussian(); } List<NamedData<Number>> namedDataList = new ArrayList<NamedData<Number>>(2); NamedRealData namedRealDataX = new NamedRealData("x axis", randomData1); namedDataList.add(namedRealDataX); NamedRealData namedRealDataY = new NamedRealData("y axis", randomData2); namedDataList.add(namedRealDataY); NamedDataMatrix<Number> data = new SimpleSelectableNamedDataMatrix<Number>( namedDataList); GraphCoordinateConverter coordinateConverter = new SimpleGraphCoordinateConverter( 0.0, 0.0, 1.0, 1.0); ScatterPlot scatterPlotInterior = new ScatterPlot(coordinateConverter); scatterPlotInterior.plotData(data); return scatterPlotInterior; } }