import java.util.*;

import org.jfree.chart.*;

import statgraphics.*;

import statgraphics.eda.*;

import static statgraphics.util.Argument.*;

import statgraphics.util.*;

/**

*

* <p>Example: class LinePlot.</p>

*/

public class LinePlotExample

{

public static void main(String[] args)

{

PlotFrame[] pf = new PlotFrame[8];

String[] category = {"2001", "2002", "2003", "2004", "2005"};

double[] data1 = {13, 12, 11, 8, 7};

double[] data2 = {6, 11, 12, 11, 10};

double[] data3 = {4, 5, 7, 9, 13};

String[] dataNames = {"Company A", "Company B", "Company C"};

LinePlot linePlot = new LinePlot(dataNames, "Computer Purchases",

"Company", "Sales",

category, data1, data2, data3);

pf[0] = new PlotFrame("Line Plot I", linePlot.getPlot(), 500, 270);

double[][] sortXData = { {9, 14, 19, 24, 29, 34},

{11, 13, 17, 22, 26, 28, 31} };

double[][] sortYData = { {0, 4, 12, 17, 19, 20},

{0, 2, 10, 13, 15, 16, 18} };

String[] dataNames2 = {"Company A", "Company B"};

linePlot = new LinePlot(dataNames2, "Ogive Plot", "Audit Time in Days",

"Cumulative Frequency", sortXData, sortYData);

pf[1] = new PlotFrame("Ogive Plot I", linePlot.getPlot());

double[] variance = {3.59, 1.63, 1.11, 0.70, 0.38, 0.30, 0.14, 0.11};

String[] componentList = {"Comp. 1", "Comp. 2", "Comp. 3", "Comp. 4",

"Comp. 5", "Comp. 6", "Comp. 7", "Comp. 8"};

String dataNames3 = "Component";

linePlot = new LinePlot(dataNames3, "Principal Component Analysis",

"Principal Component", "Variance",

componentList, variance);

pf[2] = new PlotFrame("Scree Plot I", linePlot.getPlot(), 500, 270);

double[][] xData = new double[2][2000];

double[][] yData = new double[2][2000];

String[] dataNames4 = {"Power function", "Sine Function"};

for (int j = 0; j < 2; j++)

{

if (j == 0)

{

for (int i = 0; i < 2000; i++)

{

xData[j][i] = -10 + 0.01 * i;

yData[j][i] = Math.pow(xData[j][i], 2.0);

}

}

else

{

for (int i = 0; i < 2000; i++)

{

xData[j][i] = -20 + 0.02 * i;

yData[j][i] = 100 * Math.sin(xData[j][i]);

}

}

}

linePlot = new LinePlot(dataNames4, "Mathematical Functions", "x",

"f(x)", xData, yData);

pf[3] = new PlotFrame("Math. Fun. I", linePlot.plot);

Hashtable argument1 = new Hashtable();

argument1.put(DATA_NAMES, dataNames);

GraphicalAnalysis graphicalAnalysis = new LinePlot(argument1, category,

data1, data2, data3).graphicalAnalysis;

JFreeChart myPlot = (JFreeChart) graphicalAnalysis.output.get("PLOT");

pf[4] = new PlotFrame("Line Plot II", myPlot, 500, 270);

Hashtable argument2 = new Hashtable();

argument2.put(DATA_NAMES, dataNames2);

argument2.put(TITLE, "Ogive Plot");

argument2.put(XLABEL, "Audit Time in Days");

argument2.put(YLABEL, "Cumulative Frequency");

graphicalAnalysis = new LinePlot(argument2, sortXData, sortYData).

graphicalAnalysis;

pf[5] = new PlotFrame("Ogive Plot II", graphicalAnalysis.getPlot(),

500, 270);

Hashtable argument3 = new Hashtable();

argument3.put(DATA_NAMES, dataNames3);

argument3.put(TITLE, "Principal Component Analysis");

argument3.put(XLABEL, "Principal Component");

argument3.put(YLABEL, "Variance");

graphicalAnalysis = new LinePlot(argument3, componentList, variance).

graphicalAnalysis;

pf[6] = new PlotFrame("Scree Plot II", graphicalAnalysis.getPlot(),

500, 270);

Hashtable argument4 = new Hashtable();

argument4.put(DATA_NAMES, dataNames4);

argument4.put(TITLE, "Mathematical Functions");

argument4.put(XLABEL, "x");

argument4.put(YLABEL, "f(x)");

graphicalAnalysis = new LinePlot(argument4, xData, yData).

graphicalAnalysis;

pf[7] = new PlotFrame("Math. Fun. II", graphicalAnalysis.plot);

new PlotFrameFactory().putPlotFrame(pf);

}

}

Results:

See also:

Summarizing Quantitative Data