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Add userguide example for integer distributions. Fix title in real distribution overview.

This commit is contained in:
Thomas Neidhart 2015-05-03 22:41:45 +02:00
parent 613afdb0c3
commit b313ae6888
2 changed files with 240 additions and 1 deletions
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239
src/userguide/java/org/apache/commons/math4/userguide/IntegerDistributionComparison.java Normal file
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@ -0,0 +1,239 @@
/*
* Licensed to the Apache Software Foundation (ASF) under one or more
* contributor license agreements. See the NOTICE file distributed with
* this work for additional information regarding copyright ownership.
* The ASF licenses this file to You under the Apache License, Version 2.0
* (the "License"); you may not use this file except in compliance with
* the License. You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
package org.apache.commons.math4.userguide;
import java.awt.BasicStroke;
import java.awt.Color;
import java.awt.Component;
import java.awt.Font;
import java.awt.GridBagConstraints;
import java.awt.GridBagLayout;
import java.awt.Insets;
import java.util.ArrayList;
import java.util.List;
import javax.swing.BorderFactory;
import javax.swing.BoxLayout;
import javax.swing.JComponent;
import javax.swing.JLabel;
import javax.swing.JPanel;
import javax.swing.JScrollPane;
import org.apache.commons.math4.distribution.BinomialDistribution;
import org.apache.commons.math4.distribution.GeometricDistribution;
import org.apache.commons.math4.distribution.HypergeometricDistribution;
import org.apache.commons.math4.distribution.IntegerDistribution;
import org.apache.commons.math4.distribution.PascalDistribution;
import org.apache.commons.math4.distribution.PoissonDistribution;
import org.apache.commons.math4.distribution.UniformIntegerDistribution;
import org.apache.commons.math4.distribution.ZipfDistribution;
import org.apache.commons.math4.userguide.ExampleUtils.ExampleFrame;
import com.xeiam.xchart.Chart;
import com.xeiam.xchart.ChartBuilder;
import com.xeiam.xchart.Series;
import com.xeiam.xchart.SeriesMarker;
import com.xeiam.xchart.StyleManager.ChartType;
import com.xeiam.xchart.StyleManager.LegendPosition;
import com.xeiam.xchart.XChartPanel;
/**
* Displays pdf/cdf for integer distributions.
*/
public class IntegerDistributionComparison {
public static void addPDFSeries(Chart chart, IntegerDistribution distribution, String desc, int lowerBound, int upperBound) {
// generates Log data
List<Number> xData = new ArrayList<Number>();
List<Number> yData = new ArrayList<Number>();
for (int x = lowerBound; x <= upperBound; x += 1) {
try {
double probability = distribution.probability(x);
if (! Double.isInfinite(probability) && ! Double.isNaN(probability)) {
xData.add(x);
yData.add(probability);
}
} catch (Exception e) {
// ignore
// some distributions may reject certain values depending on the parameter settings
}
}
Series series = chart.addSeries(desc, xData, yData);
series.setMarker(SeriesMarker.NONE);
series.setLineStyle(new BasicStroke(1.2f));
}
public static void addCDFSeries(Chart chart, IntegerDistribution distribution, String desc,
int lowerBound, int upperBound) {
// generates Log data
List<Number> xData = new ArrayList<Number>();
List<Number> yData = new ArrayList<Number>();
for (int x = lowerBound; x <= upperBound; x += 1) {
double density = distribution.cumulativeProbability(x);
if (! Double.isInfinite(density) && ! Double.isNaN(density)) {
xData.add(x);
yData.add(density);
}
}
Series series = chart.addSeries(desc, xData, yData);
series.setMarker(SeriesMarker.NONE);
series.setLineStyle(new BasicStroke(1.2f));
}
public static Chart createChart(String title, int minX, int maxX, LegendPosition position) {
Chart chart = new ChartBuilder().width(235).height(200).build();
// Customize Chart
chart.setChartTitle(title);
chart.getStyleManager().setChartTitleVisible(true);
chart.getStyleManager().setChartTitleFont(new Font("Arial", Font.PLAIN, 10));
chart.getStyleManager().setLegendPosition(position);
chart.getStyleManager().setLegendVisible(true);
chart.getStyleManager().setLegendFont(new Font("Arial", Font.PLAIN, 10));
chart.getStyleManager().setLegendPadding(6);
chart.getStyleManager().setLegendSeriesLineLength(6);
chart.getStyleManager().setAxisTickLabelsFont(new Font("Arial", Font.PLAIN, 9));
chart.getStyleManager().setXAxisMin(minX);
chart.getStyleManager().setXAxisMax(maxX);
chart.getStyleManager().setChartBackgroundColor(Color.white);
chart.getStyleManager().setChartPadding(4);
chart.getStyleManager().setChartType(ChartType.Line);
return chart;
}
public static JComponent createComponent(String distributionName, int minX, int maxX, String[] seriesText,
IntegerDistribution... series) {
JComponent container = new JPanel();
container.setLayout(new BoxLayout(container, BoxLayout.PAGE_AXIS));
container.add(new JLabel(distributionName));
Chart chart = createChart("PDF", minX, maxX, LegendPosition.InsideNE);
int i = 0;
for (IntegerDistribution d : series) {
addPDFSeries(chart, d, seriesText[i++], minX, maxX);
}
container.add(new XChartPanel(chart));
chart = createChart("CDF", minX, maxX, LegendPosition.InsideSE);
i = 0;
for (IntegerDistribution d : series) {
addCDFSeries(chart, d, seriesText[i++], minX, maxX);
}
container.add(new XChartPanel(chart));
container.setBorder(BorderFactory.createLineBorder(Color.black, 1));
return container;
}
@SuppressWarnings("serial")
public static class Display extends ExampleFrame {
private JComponent container;
public Display() {
setTitle("Commons-Math: Integer distributions overview");
setSize(1320, 920);
container = new JPanel();
container.setLayout(new GridBagLayout());
GridBagConstraints c = new GridBagConstraints();
c.fill = GridBagConstraints.VERTICAL;
c.gridx = 0;
c.gridy = 0;
c.insets = new Insets(2, 2, 2, 2);
JComponent comp = null;
comp = createComponent("Binomial", 0, 40,
new String[] { "p=0.5,n=20", "p=0.7,n=20", "p=0.5,n=40" },
new BinomialDistribution(20, 0.5),
new BinomialDistribution(20, 0.7),
new BinomialDistribution(40, 0.5));
container.add(comp, c);
c.gridx++;
comp = createComponent("Geometric", 0, 10,
new String[] { "p=0.2", "p=0.5", "p=0.8" },
new GeometricDistribution(0.2),
new GeometricDistribution(0.5),
new GeometricDistribution(0.8));
container.add(comp, c);
c.gridx++;
comp = createComponent("Hypergeometric", 0, 10,
new String[] { "p=0.3", "p=0.5", "p=0.75" },
new HypergeometricDistribution(100, 6, 20),
new HypergeometricDistribution(100, 10, 20),
new HypergeometricDistribution(100, 15, 20));
container.add(comp, c);
c.gridx++;
comp = createComponent("Pascal", 0, 50,
new String[] { "p=0.3", "p=0.5", "p=0.7" },
new PascalDistribution(10, 0.3),
new PascalDistribution(10, 0.5),
new PascalDistribution(10, 0.7));
container.add(comp, c);
c.gridy++;
c.gridx = 0;
comp = createComponent("Poisson", 0, 20,
new String[] { "λ=1", "λ=4", "λ=10" },
new PoissonDistribution(1),
new PoissonDistribution(4),
new PoissonDistribution(10));
container.add(comp, c);
c.gridx++;
comp = createComponent("Uniform", 0, 30,
new String[] { "l=1,u=10", "l=5,u=20", "l=1,u=25" },
new UniformIntegerDistribution(1, 10),
new UniformIntegerDistribution(5, 20),
new UniformIntegerDistribution(1, 25));
container.add(comp, c);
c.gridx++;
comp = createComponent("Zipf", 0, 15,
new String[] { "n=10,e=0.5", "n=10,e=1", "n=10,e=2", "n=10,e=5" },
new ZipfDistribution(10, 0.5),
new ZipfDistribution(10, 1),
new ZipfDistribution(10, 2),
new ZipfDistribution(10, 5));
container.add(comp, c);
JScrollPane scrollPane = new JScrollPane(container);
add(scrollPane);
}
@Override
public Component getMainPanel() {
return container;
}
}
public static void main(String[] args) {
ExampleUtils.showExampleFrame(new Display());
}
}

2
src/userguide/java/org/apache/commons/math4/userguide/RealDistributionComparison.java
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@ -60,7 +60,7 @@ import com.xeiam.xchart.StyleManager.LegendPosition;
import com.xeiam.xchart.XChartPanel;
/**
* Plots 2D samples drawn from various pseudo / quasi-random generators.
* Displays pdf/cdf for real distributions.
*/
public class RealDistributionComparison {