public StatVisualizer() 
{
        super();
        model = new ObjectTableModel(COLUMNS,
                SamplingStatCalculator.class,
                new Functor[] {
                    new Functor("getLabel"),   //$NON-NLS-1$
                    new Functor("getCount"),  //$NON-NLS-1$
                    new Functor("getMeanAsNumber"),   //$NON-NLS-1$
                    new Functor("getMedian"),  //$NON-NLS-1$
                    new Functor("getPercentPoint",  //$NON-NLS-1$
                            new Object[] { new Float(.900) }),
                    new Functor("getMin"),  //$NON-NLS-1$
                    new Functor("getMax"),   //$NON-NLS-1$
                    new Functor("getErrorPercentage"),   //$NON-NLS-1$
                    new Functor("getRate"),  //$NON-NLS-1$
                    new Functor("getKBPerSecond")   //$NON-NLS-1$
                },
                new Functor[] { null, null, null, null, null, null, null, null, null, null },
                new Class[] { String.class, Long.class, Long.class, Long.class, Long.class,
                              Long.class, Long.class, String.class, String.class, String.class });
        clearData();
        init();
}

 public  void actionPerformed(ActionEvent ev) 
{
        if (ev.getSource() == saveTable) {
            JFileChooser chooser = FileDialoger.promptToSaveFile("aggregate.csv");//$NON-NLS-1$
            if (chooser == null) {
                return;
            }
            FileWriter writer = null;
            try {
                writer = new FileWriter(chooser.getSelectedFile());
                CSVSaveService.saveCSVStats(model,writer);
            } catch (FileNotFoundException e) {
                log.warn(e.getMessage());
            } catch (IOException e) {
                log.warn(e.getMessage());
            } finally {
                JOrphanUtils.closeQuietly(writer);
            }
        }
}

 public  void add(SampleResult res) 
{
        SamplingStatCalculator row = null;
        final String sampleLabel = res.getSampleLabel(useGroupName.isSelected());
        synchronized (tableRows) {
            row = (SamplingStatCalculator) tableRows.get(sampleLabel);
            if (row == null) {
                row = new SamplingStatCalculator(sampleLabel);
                tableRows.put(row.getLabel(), row);
                model.insertRow(row, model.getRowCount() - 1);
            }
        }
        /*
         * Synch is needed because multiple threads can update the counts.
         */
        synchronized(row) {
            row.addSample(res);
        }
        SamplingStatCalculator tot = (SamplingStatCalculator) tableRows.get(TOTAL_ROW_LABEL);
        synchronized(tot) {
            tot.addSample(res);
        }
        model.fireTableDataChanged();
}

 public  void clearData() 
{
        synchronized (tableRows) {
            model.clearData();
            tableRows.clear();
            tableRows.put(TOTAL_ROW_LABEL, new SamplingStatCalculator(TOTAL_ROW_LABEL));
            model.addRow(tableRows.get(TOTAL_ROW_LABEL));
        }
}

Clears this visualizer and its model, and forces a repaint of the table.

 public  void configure(TestElement el) 
{
        super.configure(el);
        useGroupName.setSelected(el.getPropertyAsBoolean(USE_GROUP_NAME, false));
}

 public String getLabelResource() 
{
        return "aggregate_report";  //$NON-NLS-1$
}

 public  void modifyTestElement(TestElement c) 
{
        super.modifyTestElement(c);
        c.setProperty(USE_GROUP_NAME, useGroupName.isSelected(), false);
}

 public static boolean testFunctors() 
{
        StatVisualizer instance = new StatVisualizer();
        return instance.model.checkFunctors(null,instance.getClass());
}