import statgraphics.StatisticalPlots;

import statgraphics.util.*;

/**

*

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

*/

pf = new PlotFrame[6];

argument = new Hashtable();

data = new double[12][20];

for (int i = 0; i < 12; i++)

{

for (int j = 0; j < 20; j++)

{

data[i][j] = -10 + Math.random() * 20.0;

}

}

dataNames = new String[] {"A", "B", "C", "D", "E", "F", "G", "H", "I",

"J", "K", "L"};

argument.put(Argument.PLOT_TYPE, PlotType.BOX);

argument.put(Argument.DATA_NAMES, dataNames);

argument.put(Argument.TITLE, "Box Plot");

argument.put(Argument.XLABEL, "Category");

argument.put(Argument.YLABEL, "Data Value");

graphicalAnalysis = new StatisticalPlots(argument, data).graphicalAnalysis;

plot = graphicalAnalysis.plot;

pf[0] = new PlotFrame("Box Plot II", plot, 500, 270);

date = new Date[12];

for (int i = 0; i < 12; i++)

{

date[i] = new Date(105, i - 1, 21);

}

argument.remove(Argument.DATA_NAMES);

dataObj = new Object[]{date, data};

graphicalAnalysis = new StatisticalPlots(argument, dataObj).graphicalAnalysis;

plot = graphicalAnalysis.plot;

pf[1] = new PlotFrame("Box Plot III", plot, 500, 270);

double[][] xdata = { {2, 5, 1, 3, 4, 1, 5, 3, 4, 2},

{2, 3, 4, 2, 5, 3, 4, 1, 3, 4} };

double[][] ydata = { {50, 57, 41, 54, 54, 38, 63, 48, 59, 46},

{39, 42, 37, 32, 42, 45, 32, 43, 45, 35} };

dataNames = new String[] {"2004", "2005"};

argument.clear();

argument.put(Argument.PLOT_TYPE, PlotType.SCATTER);

argument.put(Argument.DATA_NAMES, dataNames);

argument.put(Argument.TITLE, "Scatter Diagram");

argument.put(Argument.XLABEL, "Number of Commercials");

argument.put(Argument.YLABEL, "Sales");

dataObj = new Object[]{xdata, ydata};

graphicalAnalysis = new StatisticalPlots(argument, dataObj).graphicalAnalysis;

plot = graphicalAnalysis.plot;

pf[2] = new PlotFrame("Scatter Plot", plot, 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} };

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

argument.clear();

argument.put(Argument.PLOT_TYPE, PlotType.LINE);

argument.put(Argument.DATA_NAMES, dataNames);

argument.put(Argument.TITLE, "Ogive Plot");

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

argument.put(Argument.YLABEL, "Cumulative Frequency");

dataObj = new Object[]{sortXData, sortYData};

graphicalAnalysis = new StatisticalPlots(argument, dataObj).graphicalAnalysis;

plot = graphicalAnalysis.plot;

pf[3] = new PlotFrame("Ogive Plot", plot, 500, 270);

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"};

dataNames[0] = "Component";

argument.put(Argument.DATA_NAMES, dataNames[0]);

argument.put(Argument.TITLE, "Principal Component Analysis");

argument.put(Argument.XLABEL, "Principal Component");

argument.put(Argument.YLABEL, "Variance");

dataObj = new Object[]{componentList, variance};

graphicalAnalysis = new StatisticalPlots(argument, dataObj).graphicalAnalysis;

plot = graphicalAnalysis.plot;

pf[4] = new PlotFrame("Scree Plot", plot, 500, 270);

xdata = new double[2][2000];

ydata = new double[2][2000];

dataNames = new String[] {"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]);

}

}

}

argument.put(Argument.DATA_NAMES, dataNames);

argument.put(Argument.TITLE, "Mathematical Functions");

argument.put(Argument.XLABEL, "x");

argument.put(Argument.YLABEL, "f(x)");

dataObj = new Object[]{xdata, ydata};

graphicalAnalysis = new StatisticalPlots(argument, dataObj).graphicalAnalysis;

plot = graphicalAnalysis.plot;

pf[5] = new PlotFrame("Mathematical Functions", plot, 500, 270);

new PlotFrameFactory().putPlotFrame(pf);

Results: