result[2] = formatter.format(d.getMeanValue(series, item)); result[3] = formatter.format(d.getMedianValue(series, item)); result[4] = formatter.format(d.getMinRegularValue(series, item)); result[5] = formatter.format(d.getMaxRegularValue(series, item)); result[6] = formatter.format(d.getQ1Value(series, item)); result[7] = formatter.format(d.getQ3Value(series, item));
Number x = boxAndWhiskerData.getX(series, item); Number yMax = boxAndWhiskerData.getMaxRegularValue(series, item); Number yMin = boxAndWhiskerData.getMinRegularValue(series, item); Number yMedian = boxAndWhiskerData.getMedianValue(series, item); Number yAverage = boxAndWhiskerData.getMeanValue(series, item); Number yQ1Median = boxAndWhiskerData.getQ1Value(series, item); Number yQ3Median = boxAndWhiskerData.getQ3Value(series, item); List yOutliers = boxAndWhiskerData.getOutliers(series, item); double maxBoxWidth = dataAreaX * maxBoxPercent; if (exactBoxWidth <= 0.0) { int itemCount = boxAndWhiskerData.getItemCount(series); exactBoxWidth = dataAreaX / itemCount * 4.5 / 7; if (exactBoxWidth < 3) { if (outlier > boxAndWhiskerData.getMaxOutlier(series, item).doubleValue()) { outlierListCollection.setHighFarOut(true); else if (outlier < boxAndWhiskerData.getMinOutlier(series, item).doubleValue()) { outlierListCollection.setLowFarOut(true); else if (outlier > boxAndWhiskerData.getMaxRegularValue(series, item).doubleValue()) { yyOutlier = rangeAxis.valueToJava2D(outlier, dataArea, else if (outlier < boxAndWhiskerData.getMinRegularValue(series, item).doubleValue()) {
= (BoxAndWhiskerXYDataset) dataset; Number x = boxAndWhiskerData.getX(series, item); Number yMax = boxAndWhiskerData.getMaxRegularValue(series, item); Number yMin = boxAndWhiskerData.getMinRegularValue(series, item); Number yMedian = boxAndWhiskerData.getMedianValue(series, item); Number yAverage = boxAndWhiskerData.getMeanValue(series, item); Number yQ1Median = boxAndWhiskerData.getQ1Value(series, item); Number yQ3Median = boxAndWhiskerData.getQ3Value(series, item); double maxBoxWidth = dataAreaX * maxBoxPercent; if (exactBoxWidth <= 0.0) { int itemCount = boxAndWhiskerData.getItemCount(series); exactBoxWidth = dataAreaX / itemCount * 4.5 / 7; if (exactBoxWidth < 3) {
int itemCount = dataset.getItemCount(series); for (int item = 0; item < itemCount; item++) { double x = bx.getXValue(series, item); if (xRange.contains(x)) { Number lvalue = bx.getMinRegularValue(series, item); Number uvalue = bx.getMaxRegularValue(series, item); if (lvalue != null) { minimum = Math.min(minimum, lvalue.doubleValue());
Number x = boxAndWhiskerData.getX(series, item); Number yMax = boxAndWhiskerData.getMaxRegularValue(series, item); Number yMin = boxAndWhiskerData.getMinRegularValue(series, item); Number yMedian = boxAndWhiskerData.getMedianValue(series, item); Number yAverage = boxAndWhiskerData.getMeanValue(series, item); Number yQ1Median = boxAndWhiskerData.getQ1Value(series, item); Number yQ3Median = boxAndWhiskerData.getQ3Value(series, item); List yOutliers = boxAndWhiskerData.getOutliers(series, item); double maxBoxWidth = dataAreaX * maxBoxPercent; if (exactBoxWidth <= 0.0) { int itemCount = boxAndWhiskerData.getItemCount(series); exactBoxWidth = dataAreaX / itemCount * 4.5 / 7; if (exactBoxWidth < 3) { if (outlier > boxAndWhiskerData.getMaxOutlier(series, item).doubleValue()) { outlierListCollection.setHighFarOut(true); else if (outlier < boxAndWhiskerData.getMinOutlier(series, item).doubleValue()) { outlierListCollection.setLowFarOut(true); else if (outlier > boxAndWhiskerData.getMaxRegularValue(series, item).doubleValue()) { yyOutlier = rangeAxis.valueToJava2D(outlier, dataArea, else if (outlier < boxAndWhiskerData.getMinRegularValue(series, item).doubleValue()) {
= (BoxAndWhiskerXYDataset) dataset; Number x = boxAndWhiskerData.getX(series, item); Number yMax = boxAndWhiskerData.getMaxRegularValue(series, item); Number yMin = boxAndWhiskerData.getMinRegularValue(series, item); Number yMedian = boxAndWhiskerData.getMedianValue(series, item); Number yAverage = boxAndWhiskerData.getMeanValue(series, item); Number yQ1Median = boxAndWhiskerData.getQ1Value(series, item); Number yQ3Median = boxAndWhiskerData.getQ3Value(series, item); double maxBoxWidth = dataAreaX * maxBoxPercent; if (exactBoxWidth <= 0.0) { int itemCount = boxAndWhiskerData.getItemCount(series); exactBoxWidth = dataAreaX / itemCount * 4.5 / 7; if (exactBoxWidth < 3) {
int itemCount = dataset.getItemCount(series); for (int item = 0; item < itemCount; item++) { double x = bx.getXValue(series, item); if (xRange.contains(x)) { Number lvalue = bx.getMinRegularValue(series, item); Number uvalue = bx.getMaxRegularValue(series, item); if (lvalue != null) { minimum = Math.min(minimum, lvalue.doubleValue());
result[2] = formatter.format(d.getMeanValue(series, item)); result[3] = formatter.format(d.getMedianValue(series, item)); result[4] = formatter.format(d.getMinRegularValue(series, item)); result[5] = formatter.format(d.getMaxRegularValue(series, item)); result[6] = formatter.format(d.getQ1Value(series, item)); result[7] = formatter.format(d.getQ3Value(series, item));