import statgraphics.eda.TimeSeriesPlot;

import statgraphics.util.*;

/**

*

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

*/

time = new int[2][12][6];

data = new double[2][12];

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

pf = new PlotFrame[2];

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

{

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

{

time[j][i][0] = 0;

time[j][i][1] = 0;

time[j][i][2] = 0;

time[j][i][3] = 1;

time[j][i][4] = i + 1;

time[j][i][5] = 2005;

data[j][i] = 100 + Math.random() * 20.0;

}

}

pf[0] = new PlotFrame("Time Series Plot I",

new TimeSeriesPlot(dataNames, "Time Series Plot",

"Date", "Stock Price", time, data).plot, 500, 270);

pf[1] = new PlotFrame("Time Series Plot II",

new TimeSeriesPlot(dataNames[0], time[1], data[0]).plot, 500, 270);

new PlotFrameFactory().putPlotFrame(pf);

Results: