Package org.jfree.data.statistics

Examples of org.jfree.data.statistics.BoxAndWhiskerItem

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    public void testDrawWithNullMedian() {
        boolean success = false;
        try {
            DefaultBoxAndWhiskerCategoryDataset dataset
                    = new DefaultBoxAndWhiskerCategoryDataset();
            dataset.add(new BoxAndWhiskerItem(new Double(1.0), null,
                    new Double(0.0), 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 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"),
View Full Code Here
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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"),
View Full Code Here
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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"),
View Full Code Here
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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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        Range xRange = new Range(Double.NEGATIVE_INFINITY,
                Double.POSITIVE_INFINITY);
        assertNull(DatasetUtilities.iterateToFindRangeBounds(dataset,
                visibleSeriesKeys, xRange, false));

        dataset.add(new Date(50L), new BoxAndWhiskerItem(5.0, 4.9, 2.0, 8.0,
                1.0, 9.0, 0.0, 10.0, new ArrayList()));
        assertEquals(new Range(5.0, 5.0),
                DatasetUtilities.iterateToFindRangeBounds(dataset,
                visibleSeriesKeys, xRange, false));
        assertEquals(new Range(1.0, 9.0),
View Full Code Here
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    /**
     * Confirm that the equals method can distinguish all the required fields.
     */
    public void testEquals() {
       
        final BoxAndWhiskerItem i1 = 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()
        );
        final BoxAndWhiskerItem i2 = 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()
        );
        assertTrue(i1.equals(i2));
        assertTrue(i2.equals(i1));

    }
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    /**
     * Serialize an instance, restore it, and check for equality.
     */
    public void testSerialization() {

        final BoxAndWhiskerItem i1 = 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()
        );
        BoxAndWhiskerItem i2 = null;
       
        try {
            final ByteArrayOutputStream buffer = new ByteArrayOutputStream();
            final ObjectOutput out = new ObjectOutputStream(buffer);
            out.writeObject(i1);
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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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