ValueAxis rangeAxis,
CategoryDataset dataset,
int row,
int column) {
BoxAndWhiskerCategoryDataset bawDataset
= (BoxAndWhiskerCategoryDataset) dataset;
double categoryEnd = domainAxis.getCategoryEnd(column,
getColumnCount(), dataArea, plot.getDomainAxisEdge());
double categoryStart = domainAxis.getCategoryStart(column,
getColumnCount(), dataArea, plot.getDomainAxisEdge());
double categoryWidth = categoryEnd - categoryStart;
double xx = categoryStart;
int seriesCount = getRowCount();
int categoryCount = getColumnCount();
if (seriesCount > 1) {
double seriesGap = dataArea.getWidth() * getItemMargin()
/ (categoryCount * (seriesCount - 1));
double usedWidth = (state.getBarWidth() * seriesCount)
+ (seriesGap * (seriesCount - 1));
// offset the start of the boxes if the total width used is smaller
// than the category width
double offset = (categoryWidth - usedWidth) / 2;
xx = xx + offset + (row * (state.getBarWidth() + seriesGap));
}
else {
// offset the start of the box if the box width is smaller than the
// category width
double offset = (categoryWidth - state.getBarWidth()) / 2;
xx = xx + offset;
}
double yyAverage = 0.0;
double yyOutlier;
Paint itemPaint = getItemPaint(row, column);
g2.setPaint(itemPaint);
Stroke s = getItemStroke(row, column);
g2.setStroke(s);
double aRadius = 0; // average radius
RectangleEdge location = plot.getRangeAxisEdge();
Number yQ1 = bawDataset.getQ1Value(row, column);
Number yQ3 = bawDataset.getQ3Value(row, column);
Number yMax = bawDataset.getMaxRegularValue(row, column);
Number yMin = bawDataset.getMinRegularValue(row, column);
Shape box = null;
if (yQ1 != null && yQ3 != null && yMax != null && yMin != null) {
double yyQ1 = rangeAxis.valueToJava2D(yQ1.doubleValue(), dataArea,
location);
double yyQ3 = rangeAxis.valueToJava2D(yQ3.doubleValue(), dataArea,
location);
double yyMax = rangeAxis.valueToJava2D(yMax.doubleValue(),
dataArea, location);
double yyMin = rangeAxis.valueToJava2D(yMin.doubleValue(),
dataArea, location);
double xxmid = xx + state.getBarWidth() / 2.0;
// draw the upper shadow...
g2.draw(new Line2D.Double(xxmid, yyMax, xxmid, yyQ3));
g2.draw(new Line2D.Double(xx, yyMax, xx + state.getBarWidth(),
yyMax));
// draw the lower shadow...
g2.draw(new Line2D.Double(xxmid, yyMin, xxmid, yyQ1));
g2.draw(new Line2D.Double(xx, yyMin, xx + state.getBarWidth(),
yyMin));
// draw the body...
box = new Rectangle2D.Double(xx, Math.min(yyQ1, yyQ3),
state.getBarWidth(), Math.abs(yyQ1 - yyQ3));
if (this.fillBox) {
g2.fill(box);
}
g2.setStroke(getItemOutlineStroke(row, column));
g2.setPaint(getItemOutlinePaint(row, column));
g2.draw(box);
}
g2.setPaint(this.artifactPaint);
// draw mean - SPECIAL AIMS REQUIREMENT...
if (this.meanVisible) {
Number yMean = bawDataset.getMeanValue(row, column);
if (yMean != null) {
yyAverage = rangeAxis.valueToJava2D(yMean.doubleValue(),
dataArea, location);
aRadius = state.getBarWidth() / 4;
// here we check that the average marker will in fact be
// visible before drawing it...
if ((yyAverage > (dataArea.getMinY() - aRadius))
&& (yyAverage < (dataArea.getMaxY() + aRadius))) {
Ellipse2D.Double avgEllipse = new Ellipse2D.Double(
xx + aRadius, yyAverage - aRadius, aRadius * 2,
aRadius * 2);
g2.fill(avgEllipse);
g2.draw(avgEllipse);
}
}
}
// draw median...
if (this.medianVisible) {
Number yMedian = bawDataset.getMedianValue(row, column);
if (yMedian != null) {
double yyMedian = rangeAxis.valueToJava2D(
yMedian.doubleValue(), dataArea, location);
g2.draw(new Line2D.Double(xx, yyMedian, xx + state.getBarWidth(),
yyMedian));
}
}
// draw yOutliers...
double maxAxisValue = rangeAxis.valueToJava2D(
rangeAxis.getUpperBound(), dataArea, location) + aRadius;
double minAxisValue = rangeAxis.valueToJava2D(
rangeAxis.getLowerBound(), dataArea, location) - aRadius;
g2.setPaint(itemPaint);
// draw outliers
double oRadius = state.getBarWidth() / 3; // outlier radius
List outliers = new ArrayList();
OutlierListCollection outlierListCollection
= new OutlierListCollection();
// From outlier array sort out which are outliers and put these into a
// list If there are any farouts, set the flag on the
// OutlierListCollection
List yOutliers = bawDataset.getOutliers(row, column);
if (yOutliers != null) {
for (int i = 0; i < yOutliers.size(); i++) {
double outlier = ((Number) yOutliers.get(i)).doubleValue();
Number minOutlier = bawDataset.getMinOutlier(row, column);
Number maxOutlier = bawDataset.getMaxOutlier(row, column);
Number minRegular = bawDataset.getMinRegularValue(row, column);
Number maxRegular = bawDataset.getMaxRegularValue(row, column);
if (outlier > maxOutlier.doubleValue()) {
outlierListCollection.setHighFarOut(true);
}
else if (outlier < minOutlier.doubleValue()) {
outlierListCollection.setLowFarOut(true);