Programming Statistical Data Visualization in the Java Language - Data Visualization - page 756

PlotModel classthatiscomposedofseveral SingleBoxPlotModel objects.
Scatterplot matrices and parallel coordinate plots are implemented using this class.
he MultiPlotModel classdefinesasimplematrixwhoseelementsaregraph-
ics. It has a setRowColumn(row, column) method to specify the numbers
of rows and columns. he window defined by a MultiPlotModel object is di-
vided into row

column small components of the same size. Graphics are placed
on each component by the setPlotModel(model, row, column) method
in MultiPlotModel ,where model specifiesa PlotModel object, and row and
column specifythelocationofthecomponent.Itispossibletooverlayseveralgraph-
ics on the same component. However, mouse operations are effective only for the
graphics overlaid last.
Our scatterplot matrix is realized by placing scatterplots on off-diagonal com-
ponents and histograms on diagonal components. he main part of the program is
straightforward:
MultiPlotModel multiPlotModel = new MultiPlotModel(dataModel);
multiPlotModel.setRowColumn(dataModel.getVariableNumber(),
dataModel.getVariableNumber());

for (int i = 0; i < dataModel.getVariableNumber(); i++) {
for (int j = 0; j < i; j++) {
PlotModel pModel =
new ScatterPlotModel(dataModel, j, i);
multiPlotModel.setPlotModel(pModel, i, j);

}

HistogramPlotModel hModel =
new HistogramPlotModel(dataModel, i);
hModel.setTitle(dataModel.getVariableName(i));
multiPlotModel.setPlotModel(hModel, i, i);

}
Another example is a parallel coordinate plot. he main part of the program is the
following:
MultiPlotModel multiPlotModel = new MultiPlotModel(dataModel);
multiPlotModel.setRowColumn(1, dataModel.getVariableNumber());
multiPlotModel.setConnect(true);
multiPlotModel.setSelector(new LineSelector());

for (int i = 0; i < dataModel.getVariableNumber(); i++) {
ScatterPlotModel plotModel =
new ScatterPlotModel(dataModel, PlotModel.NULL, i);
plotModel.setDrawXTick(false);
plotModel.setDrawYTick(false);

Limits yLimits = plotModel.getYLimits();
yLimits.setMin(dataModel.getMin(i));
yLimits.setMax(dataModel.getMax(i));
plotModel.setYLimits(yLimits);

plotModel.drawString(String.valueOf(dataModel.getMin(i)),
0.5, 0.1, DrawString.CENTER, null);