Example usage for org.jfree.data.statistics DefaultStatisticalCategoryDataset DefaultStatisticalCategoryDataset

List of usage examples for org.jfree.data.statistics DefaultStatisticalCategoryDataset DefaultStatisticalCategoryDataset

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Introduction

In this page you can find the example usage for org.jfree.data.statistics DefaultStatisticalCategoryDataset DefaultStatisticalCategoryDataset.

Prototype

public DefaultStatisticalCategoryDataset()

Source Link

Document

Creates a new dataset.

Usage

From source file:edu.ucla.stat.SOCR.chart.SuperCategoryChart_Stat_Raw_Vertical.java

/**
 * //from  ww  w .ja v  a  2s . c  om
 * @param isDemo data come from demo(true) or dataTable(false)
 * @return
 */
protected CategoryDataset createDataset(boolean isDemo) {
    double mean, stdDev;
    if (isDemo) {
        SERIES_COUNT = 3;
        // CATEGORY_COUNT = 1;
        VALUE_COUNT = 10;

        values_storage = new String[SERIES_COUNT][CATEGORY_COUNT];

        DefaultStatisticalCategoryDataset dataset = new DefaultStatisticalCategoryDataset();

        for (int s = 0; s < SERIES_COUNT; s++) {
            for (int c = 0; c < CATEGORY_COUNT; c++) {
                Double[] values = createValueList(0, 20.0, VALUE_COUNT);
                values_storage[s][c] = vs;
                mean = Statistics.calculateMean(values);
                stdDev = Statistics.getStdDev(values);
                dataset.add(mean, stdDev, "Series " + s, "Category " + c);
            }
        }

        return dataset;
    }

    else {

        //         setXYArray();
        setArrayFromTable();
        //System.out.println("independentVarLength"+independentVarLength);
        //System.out.println("dependentVarLength"+dependentVarLength); //3

        independentVarLength = 1; //number of category  ==1

        String[][] x = new String[xyLength][dependentVarLength];
        String[][] y = new String[xyLength][independentVarLength];

        for (int index = 0; index < dependentVarLength; index++)
            for (int i = 0; i < xyLength; i++)
                x[i][index] = depValues[i][index];

        /*   for (int index=0; index<dependentVarLength; index++)
              for (int i = 0; i < xyLength; i++) 
                 y[i][index] = depValues[i][index];*/

        SERIES_COUNT = dependentVarLength;
        //CATEGORY_COUNT = 1;

        DefaultStatisticalCategoryDataset dataset = new DefaultStatisticalCategoryDataset();

        values_storage = new String[SERIES_COUNT][CATEGORY_COUNT];

        for (int s = 0; s < SERIES_COUNT; s++) {
            for (int c = 0; c < CATEGORY_COUNT; c++) {
                String v = "";
                for (int i = 0; i < xyLength; i++)
                    v = v + x[i][s] + ",";

                Double[] values = createValueList(v);
                values_storage[s][c] = v;
                mean = Statistics.calculateMean(values, false);
                stdDev = Statistics.getStdDev(values);
                //System.out.println("Adding "+ dependentHeaders[s]+ " Category "+c);
                dataset.add(mean, stdDev, dependentHeaders[s], "Category " + c);
            }
        }

        return dataset;
    }
}

From source file:org.jfree.data.statistics.DefaultStatisticalCategoryDatasetTest.java

/**
 * Check serialization of a more complex instance.
 *///from w  ww.  j  a va2s.co  m
@Test
public void testSerialization2() {
    DefaultStatisticalCategoryDataset d1 = new DefaultStatisticalCategoryDataset();
    d1.add(1.2, 3.4, "Row 1", "Column 1");
    DefaultStatisticalCategoryDataset d2 = (DefaultStatisticalCategoryDataset) TestUtilities.serialised(d1);
    assertEquals(d1, d2);
}

From source file:edu.ucla.stat.SOCR.chart.SuperCategoryChart_Stat_Raw.java

/**
 * //from   w  w w  .ja  v a  2  s  .c  o  m
 * @param isDemo data come from demo(true) or dataTable(false)
 * @return
 */
protected CategoryDataset createDataset(boolean isDemo) {
    double mean, stdDev;
    if (isDemo) {
        SERIES_COUNT = 3;
        CATEGORY_COUNT = 5;
        VALUE_COUNT = 10;

        values_storage = new String[SERIES_COUNT][CATEGORY_COUNT];

        DefaultStatisticalCategoryDataset dataset = new DefaultStatisticalCategoryDataset();

        for (int s = 0; s < SERIES_COUNT; s++) {
            for (int c = 0; c < CATEGORY_COUNT; c++) {
                Double[] values = createValueList(0, 20.0, VALUE_COUNT);
                values_storage[s][c] = vs;
                mean = Statistics.calculateMean(values, false);
                stdDev = Statistics.getStdDev(values);
                dataset.add(mean, stdDev, "Series " + s, "Category " + c);
            }
        }
        domainLabel = "Series";
        rangeLabel = "Value";

        return dataset;
    }

    else {

        //         setXYArray();
        setArrayFromTable();

        String[][] x = new String[xyLength][independentVarLength];
        String[][] y = new String[xyLength][dependentVarLength];

        for (int index = 0; index < independentVarLength; index++)
            for (int i = 0; i < xyLength; i++)
                x[i][index] = indepValues[i][index];

        for (int index = 0; index < dependentVarLength; index++)
            for (int i = 0; i < xyLength; i++)
                y[i][index] = depValues[i][index];

        SERIES_COUNT = xyLength;
        CATEGORY_COUNT = independentVarLength;

        DefaultStatisticalCategoryDataset dataset = new DefaultStatisticalCategoryDataset();

        values_storage = new String[SERIES_COUNT][CATEGORY_COUNT];

        for (int s = 0; s < SERIES_COUNT; s++) {
            for (int c = 0; c < CATEGORY_COUNT; c++) {
                if (x[s][c] != null && x[s][c].length() != 0) {

                    Double[] values = createValueList(x[s][c]);
                    values_storage[s][c] = x[s][c];
                    mean = Statistics.calculateMean(values, false);

                    stdDev = Statistics.getStdDev(values);

                    if (y[s][0] != null)
                        dataset.add(mean, stdDev, y[s][0], independentHeaders[c]);
                }

            }
        }

        return dataset;
    }

}

From source file:org.jfree.data.statistics.DefaultStatisticalCategoryDatasetTest.java

/**
 * Some checks for the add() method.// w  w  w.j a  v  a  2s.  c  o m
 */
@Test
public void testAdd() {
    DefaultStatisticalCategoryDataset d1 = new DefaultStatisticalCategoryDataset();
    d1.add(1.0, 2.0, "R1", "C1");
    assertEquals(1.0, d1.getValue("R1", "C1").doubleValue(), EPSILON);
    assertEquals(2.0, d1.getStdDevValue("R1", "C1").doubleValue(), EPSILON);

    // overwrite the value
    d1.add(10.0, 20.0, "R1", "C1");
    assertEquals(10.0, d1.getValue("R1", "C1").doubleValue(), EPSILON);
    assertEquals(20.0, d1.getStdDevValue("R1", "C1").doubleValue(), EPSILON);
}

From source file:org.jfree.data.statistics.DefaultStatisticalCategoryDatasetTest.java

/**
 * Some checks for the getRangeLowerBound() method.
 *///  ww w.  j a v  a2 s  .  co  m
@Test
public void testGetRangeLowerBound() {
    DefaultStatisticalCategoryDataset d1 = new DefaultStatisticalCategoryDataset();
    d1.add(1.0, 2.0, "R1", "C1");
    assertEquals(1.0, d1.getRangeLowerBound(false), EPSILON);
    assertEquals(-1.0, d1.getRangeLowerBound(true), EPSILON);
}

From source file:org.jfree.data.statistics.DefaultStatisticalCategoryDatasetTest.java

/**
 * Some checks for the getRangeUpperBound() method.
 *//*from   w  w w. jav  a2  s . co  m*/
@Test
public void testGetRangeUpperBound() {
    DefaultStatisticalCategoryDataset d1 = new DefaultStatisticalCategoryDataset();
    d1.add(1.0, 2.0, "R1", "C1");
    assertEquals(1.0, d1.getRangeUpperBound(false), EPSILON);
    assertEquals(3.0, d1.getRangeUpperBound(true), EPSILON);
}

From source file:org.jfree.data.statistics.DefaultStatisticalCategoryDatasetTest.java

/**
 * Some checks for the getRangeBounds() method.
 *///w w w.  j  a v  a2  s .co  m
@Test
public void testGetRangeBounds2() {
    DefaultStatisticalCategoryDataset d1 = new DefaultStatisticalCategoryDataset();
    d1.add(1.0, 2.0, "R1", "C1");
    assertEquals(new Range(1.0, 1.0), d1.getRangeBounds(false));
    assertEquals(new Range(-1.0, 3.0), d1.getRangeBounds(true));

    d1.add(10.0, 20.0, "R1", "C1");
    assertEquals(new Range(10.0, 10.0), d1.getRangeBounds(false));
    assertEquals(new Range(-10.0, 30.0), d1.getRangeBounds(true));
}

From source file:org.jfree.data.statistics.DefaultStatisticalCategoryDatasetTest.java

/**
 * Some checks for the remove method./*from   w  w w  .  ja v a 2 s  .  c om*/
 */
@Test
public void testRemove() {
    DefaultStatisticalCategoryDataset data = new DefaultStatisticalCategoryDataset();

    boolean pass = false;
    try {
        data.remove("R1", "R2");
    } catch (UnknownKeyException e) {
        pass = true;
    }
    assertTrue(pass);
    data.add(1.0, 0.5, "R1", "C1");
    assertEquals(new Range(1.0, 1.0), data.getRangeBounds(false));
    assertEquals(new Range(0.5, 1.5), data.getRangeBounds(true));

    data.add(1.4, 0.2, "R2", "C1");

    assertEquals(1.0, data.getRangeLowerBound(false), EPSILON);
    assertEquals(1.4, data.getRangeUpperBound(false), EPSILON);
    assertEquals(0.5, data.getRangeLowerBound(true), EPSILON);
    assertEquals(1.6, data.getRangeUpperBound(true), EPSILON);

    data.remove("R1", "C1");

    assertEquals(1.4, data.getRangeLowerBound(false), EPSILON);
    assertEquals(1.4, data.getRangeUpperBound(false), EPSILON);
    assertEquals(1.2, data.getRangeLowerBound(true), EPSILON);
    assertEquals(1.6, data.getRangeUpperBound(true), EPSILON);
}

From source file:org.jfree.data.statistics.DefaultStatisticalCategoryDatasetTest.java

/**
 * A test for bug 3072674.// w  w w .j  a  v a2  s  .c om
 */
@Test
public void test3072674() {
    DefaultStatisticalCategoryDataset dataset = new DefaultStatisticalCategoryDataset();
    dataset.add(1.0, Double.NaN, "R1", "C1");
    assertEquals(1.0, dataset.getRangeLowerBound(true), EPSILON);
    assertEquals(1.0, dataset.getRangeUpperBound(true), EPSILON);

    Range r = dataset.getRangeBounds(true);
    assertEquals(1.0, r.getLowerBound(), EPSILON);
    assertEquals(1.0, r.getUpperBound(), EPSILON);
}

From source file:edu.ucla.stat.SOCR.chart.ChartGenerator_JTable.java

private CategoryDataset createCategoryStatDataset() {
    double[][] xmean = new double[xyLength][no_category];
    double[][] xstdDev = new double[xyLength][no_category];
    String[][] y = new String[xyLength][1];
    String[] ss = new String[2];

    try {/*from  ww w  .j a v a2  s .  com*/
        for (int index = 0; index < no_category; index++)
            for (int i = 0; i < xyLength; i++) {
                StringTokenizer st = new StringTokenizer(indepValues[i][index], DELIMITERS);
                ss[0] = st.nextToken();
                ss[1] = st.nextToken();
                //            ss = indepValues[i][index].split("( *)+,+( *)");
                xmean[i][index] = Double.parseDouble(ss[0]);
                xstdDev[i][index] = Double.parseDouble(ss[1]);
            }

        for (int index = 0; index < 1; index++)
            for (int i = 0; i < xyLength; i++)
                y[i][index] = depValues[i][index];

        // create the dataset...
        final DefaultStatisticalCategoryDataset dataset = new DefaultStatisticalCategoryDataset();

        //dependent
        for (int j = 0; j < xyLength; j++)
            for (int i = 0; i < no_category; i++) {
                dataset.add(xmean[j][i], xstdDev[j][i], y[j][0], independentHeaders[i]);
                //System.out.println("adding :("+x[j][i]+","+y[j]+","+independentHeaders[i]+")" );
            }

        return dataset;
    } catch (NumberFormatException e) {
        System.out.println("Data format error!");
        return null;
    }
}