Package org.jfree.data.statistics

Examples of org.jfree.data.statistics.BoxAndWhiskerItem

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    public void testDrawWithNullQ1() {
        boolean success = false;
        try {
            DefaultBoxAndWhiskerCategoryDataset dataset
                    = new DefaultBoxAndWhiskerCategoryDataset();
            dataset.add(new BoxAndWhiskerItem(new Double(1.0), new Double(2.0),
                    null, new Double(4.0), new Double(0.5),
                    new Double(4.5), new Double(-0.5), new Double(5.5),
                    null), "S1", "C1");
            CategoryPlot plot = new CategoryPlot(dataset,
                    new CategoryAxis("Category"), new NumberAxis("Value"),
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    public void testDrawWithNullQ3() {
        boolean success = false;
        try {
            DefaultBoxAndWhiskerCategoryDataset dataset
                    = new DefaultBoxAndWhiskerCategoryDataset();
            dataset.add(new BoxAndWhiskerItem(new Double(1.0), new Double(2.0),
                    new Double(3.0), null, new Double(0.5),
                    new Double(4.5), new Double(-0.5), new Double(5.5),
                    null), "S1", "C1");
            CategoryPlot plot = new CategoryPlot(dataset,
                    new CategoryAxis("Category"), new NumberAxis("Value"),
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    public void testDrawWithNullMinRegular() {
        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), null,
                    new Double(4.5), new Double(-0.5), new Double(5.5),
                    null), "S1", "C1");
            CategoryPlot plot = new CategoryPlot(dataset,
                    new CategoryAxis("Category"), new NumberAxis("Value"),
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    public void testDrawWithNullMaxRegular() {
        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),
                    null, new Double(-0.5), new Double(5.5),
                    null), "S1", "C1");
            CategoryPlot plot = new CategoryPlot(dataset,
                    new CategoryAxis("Category"), new NumberAxis("Value"),
View Full Code Here
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    public void testDrawWithNullMinOutlier() {
        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), null, new Double(5.5),
                    null), "S1", "C1");
            CategoryPlot plot = new CategoryPlot(dataset,
                    new CategoryAxis("Category"), new NumberAxis("Value"),
View Full Code Here
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    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"),
View Full Code Here
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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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        theList.add(0, new Double(1.0));
        theList.add(1, new Double(2.0));
        theList.add(2, new Double(Double.NaN));
        theList.add(3, new Double(3.0));
        theList.add(4, new Double(4.0));
        BoxAndWhiskerItem theItem =
            BoxAndWhiskerCalculator.calculateBoxAndWhiskerStatistics(theList);
        assertEquals(1.0, theItem.getMinRegularValue().doubleValue(), EPSILON);
        assertEquals(4.0, theItem.getMaxRegularValue().doubleValue(), EPSILON);
    }
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                "Series");
        DefaultBoxAndWhiskerXYDataset d2 = new DefaultBoxAndWhiskerXYDataset(
                "Series");
        assertTrue(d1.equals(d2));

        d1.add(new Date(1L), new BoxAndWhiskerItem(1.0, 2.0, 3.0, 4.0, 5.0,
                6.0, 7.0, 8.0, new ArrayList()));
        assertFalse(d1.equals(d2));
        d2.add(new Date(1L), new BoxAndWhiskerItem(1.0, 2.0, 3.0, 4.0, 5.0,
                6.0, 7.0, 8.0, new ArrayList()));
        assertTrue(d1.equals(d2));
    }
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     */
    public void testSerialization() {

        DefaultBoxAndWhiskerXYDataset d1 = new DefaultBoxAndWhiskerXYDataset(
                "Series");
        d1.add(new Date(1L), new BoxAndWhiskerItem(1.0, 2.0, 3.0, 4.0, 5.0,
                6.0, 7.0, 8.0, new ArrayList()));
        DefaultBoxAndWhiskerXYDataset d2 = null;

        try {
            ByteArrayOutputStream buffer = new ByteArrayOutputStream();
            ObjectOutput out = new ObjectOutputStream(buffer);
            out.writeObject(d1);
            out.close();

            ObjectInput in = new ObjectInputStream(new ByteArrayInputStream(
                    buffer.toByteArray()));
            d2 = (DefaultBoxAndWhiskerXYDataset) in.readObject();
            in.close();
        }
        catch (Exception e) {
            e.printStackTrace();
        }
        assertEquals(d1, d2);

        // test independence
        d1.add(new Date(2L), new BoxAndWhiskerItem(1.0, 2.0, 3.0, 4.0, 5.0,
                6.0, 7.0, 8.0, new ArrayList()));
        assertFalse(d1.equals(d2));
    }
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Related Classes of org.jfree.data.statistics.BoxAndWhiskerItem

  • edu.msu.cme.rdp.classifier.train.validation.distance.BoxPlotUtils
  • edu.msu.cme.rdp.classifier.train.validation.distance.TaxaSimilarityMain
  • org.jfree.chart.renderer.category.BoxAndWhiskerRendererTest
  • org.jfree.chart.renderer.category.junit.BoxAndWhiskerRendererTests
  • org.jfree.chart.renderer.xy.junit.XYBoxAndWhiskerRendererTests
  • org.jfree.chart.renderer.xy.XYBoxAndWhiskerRendererTest
  • org.jfree.data.general.DatasetUtilitiesTest
  • org.jfree.data.general.junit.DatasetUtilitiesTests
  • org.jfree.data.statistics.junit.BoxAndWhiskerCalculatorTests
  • org.jfree.data.statistics.junit.BoxAndWhiskerItemTests
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