Package org.jfree.data.statistics

Examples of org.jfree.data.statistics.BoxAndWhiskerItem


    public void testDrawWithNullMaxOutlier() {
        boolean success = false;
        try {
            DefaultBoxAndWhiskerCategoryDataset dataset
                    = new DefaultBoxAndWhiskerCategoryDataset();
            dataset.add(new BoxAndWhiskerItem(new Double(1.0), new Double(2.0),
                    new Double(3.0), new Double(4.0), new Double(0.5),
                    new Double(4.5), new Double(-0.5), null,
                    new java.util.ArrayList()), "S1", "C1");
            CategoryPlot plot = new CategoryPlot(dataset,
                    new CategoryAxis("Category"), new NumberAxis("Value"),
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     * Confirm that the equals method can distinguish all the required fields.
     */
    public void testEquals() {
        DefaultBoxAndWhiskerCategoryDataset d1
                = new DefaultBoxAndWhiskerCategoryDataset();
        d1.add(new BoxAndWhiskerItem(new Double(1.0), new Double(2.0),
                new Double(3.0), new Double(4.0), new Double(5.0),
                new Double(6.0), new Double(7.0), new Double(8.0),
                new ArrayList()), "ROW1", "COLUMN1");
        DefaultBoxAndWhiskerCategoryDataset d2
                = new DefaultBoxAndWhiskerCategoryDataset();
        d2.add(new BoxAndWhiskerItem(new Double(1.0), new Double(2.0),
                new Double(3.0), new Double(4.0), new Double(5.0),
                new Double(6.0), new Double(7.0), new Double(8.0),
                new ArrayList()), "ROW1", "COLUMN1");
        assertTrue(d1.equals(d2));
        assertTrue(d2.equals(d1));
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     */
    public void testSerialization() {

        DefaultBoxAndWhiskerCategoryDataset d1
                = new DefaultBoxAndWhiskerCategoryDataset();
        d1.add(new BoxAndWhiskerItem(new Double(1.0), new Double(2.0),
                new Double(3.0), new Double(4.0), new Double(5.0),
                new Double(6.0), new Double(7.0), new Double(8.0),
                new ArrayList()), "ROW1", "COLUMN1");
        DefaultBoxAndWhiskerCategoryDataset d2 = null;
       
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     * Confirm that cloning works.
     */
    public void testCloning() {
        DefaultBoxAndWhiskerCategoryDataset d1
                = new DefaultBoxAndWhiskerCategoryDataset();
        d1.add(new BoxAndWhiskerItem(new Double(1.0), new Double(2.0),
                new Double(3.0), new Double(4.0), new Double(5.0),
                new Double(6.0), new Double(7.0), new Double(8.0),
                new ArrayList()), "ROW1", "COLUMN1");
        DefaultBoxAndWhiskerCategoryDataset d2 = null;
        try {
            d2 = (DefaultBoxAndWhiskerCategoryDataset) d1.clone();
        }
        catch (CloneNotSupportedException e) {
            e.printStackTrace();
        }
        assertTrue(d1 != d2);
        assertTrue(d1.getClass() == d2.getClass());
        assertTrue(d1.equals(d2));
       
        // test independence
        d1.add(new BoxAndWhiskerItem(new Double(1.0), new Double(2.0),
                new Double(3.0), new Double(4.0), new Double(5.0),
                new Double(6.0), new Double(7.0), new Double(8.0),
                new ArrayList()), "ROW2", "COLUMN1");
        assertFalse(d1.equals(d2));
    }
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     */
    public void test1701822() {
        DefaultBoxAndWhiskerCategoryDataset dataset
                = new DefaultBoxAndWhiskerCategoryDataset();
        try {
            dataset.add(new BoxAndWhiskerItem(new Double(1.0), new Double(2.0),
                    new Double(3.0), new Double(4.0), new Double(5.0),
                    new Double(6.0), null, new Double(8.0),
                    new ArrayList()), "ROW1", "COLUMN1");
            dataset.add(new BoxAndWhiskerItem(new Double(1.0), new Double(2.0),
                    new Double(3.0), new Double(4.0), new Double(5.0),
                    new Double(6.0), new Double(7.0), null,
                    new ArrayList()), "ROW1", "COLUMN2");
        }
        catch (NullPointerException e) {
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     * Some checks for the add() method.
     */
    public void testAdd() {
        DefaultBoxAndWhiskerCategoryDataset dataset
                = new DefaultBoxAndWhiskerCategoryDataset();
        BoxAndWhiskerItem item1 = new BoxAndWhiskerItem(1.0, 2.0, 3.0, 4.0,
                5.0, 6.0, 7.0, 8.0, new ArrayList());
        dataset.add(item1, "R1", "C1");
      
        assertEquals(2.0, dataset.getValue("R1", "C1").doubleValue(), EPSILON);
        assertEquals(1.0, dataset.getMeanValue("R1", "C1").doubleValue(),
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     * Some checks for the add() method.
     */
    public void testAddUpdatesCachedRange() {
        DefaultBoxAndWhiskerCategoryDataset dataset
                = new DefaultBoxAndWhiskerCategoryDataset();
        BoxAndWhiskerItem item1 = new BoxAndWhiskerItem(1.0, 2.0, 3.0, 4.0,
                5.0, 6.0, 7.0, 8.0, new ArrayList());
        dataset.add(item1, "R1", "C1");
      
        // now overwrite this item with another
        BoxAndWhiskerItem item2 = new BoxAndWhiskerItem(1.5, 2.5, 3.5, 4.5,
                5.5, 6.5, 7.5, 8.5, new ArrayList());
        dataset.add(item2, "R1", "C1");

        assertEquals(2.5, dataset.getValue("R1", "C1").doubleValue(), EPSILON);
        assertEquals(1.5, dataset.getMeanValue("R1", "C1").doubleValue(),
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     * Some checks for the getRangeBounds() method.
     */
    public void testGetRangeBounds() {
        DefaultBoxAndWhiskerCategoryDataset d1
                = new DefaultBoxAndWhiskerCategoryDataset();
        d1.add(new BoxAndWhiskerItem(1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0,
                new ArrayList()), "R1", "C1");
        assertEquals(new Range(7.0, 8.0), d1.getRangeBounds(false));
        assertEquals(new Range(7.0, 8.0), d1.getRangeBounds(true));
       
        d1.add(new BoxAndWhiskerItem(1.5, 2.5, 3.5, 4.5, 5.5, 6.5, 7.5, 8.5,
                new ArrayList()), "R1", "C1");
        assertEquals(new Range(7.5, 8.5), d1.getRangeBounds(false));
        assertEquals(new Range(7.5, 8.5), d1.getRangeBounds(true));
       
        d1.add(new BoxAndWhiskerItem(2.5, 3.5, 4.5, 5.5, 6.5, 7.5, 8.5, 9.5,
                new ArrayList()), "R2", "C1");
        assertEquals(new Range(7.5, 9.5), d1.getRangeBounds(false));
        assertEquals(new Range(7.5, 9.5), d1.getRangeBounds(true));
       
        // this replaces the entry with the current minimum value, but the new
        // minimum value is now in a different item
        d1.add(new BoxAndWhiskerItem(1.5, 2.5, 3.5, 4.5, 5.5, 6.5, 8.6, 9.6,
                new ArrayList()), "R1", "C1");
        assertEquals(new Range(8.5, 9.6), d1.getRangeBounds(false));
        assertEquals(new Range(8.5, 9.6), d1.getRangeBounds(true));
    }
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        }
        catch (UnknownKeyException e) {
            pass = true;
        }
        assertTrue(pass);
        data.add(new BoxAndWhiskerItem(1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0,
                new ArrayList()), "R1", "C1");
        assertEquals(new Range(7.0, 8.0), data.getRangeBounds(false));
        assertEquals(new Range(7.0, 8.0), data.getRangeBounds(true));
       
        data.add(new BoxAndWhiskerItem(2.5, 3.5, 4.5, 5.5, 6.5, 7.5, 8.5, 9.5,
                new ArrayList()), "R2", "C1");
        assertEquals(new Range(7.0, 9.5), data.getRangeBounds(false));
        assertEquals(new Range(7.0, 9.5), data.getRangeBounds(true));
       
        data.remove("R1", "C1");
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        assertTrue(pass);
               
        // try a list containing a single value
        List values = new ArrayList();
        values.add(new Double(1.1));
        BoxAndWhiskerItem item
            = BoxAndWhiskerCalculator.calculateBoxAndWhiskerStatistics(values);
        assertEquals(1.1, item.getMean().doubleValue(), EPSILON);
        assertEquals(1.1, item.getMedian().doubleValue(), EPSILON);
        assertEquals(1.1, item.getQ1().doubleValue(), EPSILON);
        assertEquals(1.1, item.getQ3().doubleValue(), EPSILON);      
    }
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