Example usage for org.jfree.data.statistics DefaultBoxAndWhiskerCategoryDataset add

Introduction

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

Prototype

public void add(BoxAndWhiskerItem item, Comparable rowKey, Comparable columnKey) 

Source Link

Document

Adds a list of values relating to one Box and Whisker entity to the table.

Usage

From source file:edu.ucla.stat.SOCR.chart.demo.BoxAndWhiskerChartDemo1.java

/**
 * Returns a sample dataset./*from w  ww  . j av a2  s .  co  m*/
 * 
 * @return The dataset.
 */
protected BoxAndWhiskerCategoryDataset createDataset(boolean isDemo) {
    if (isDemo) {
        SERIES_COUNT = 3;
        CATEGORY_COUNT = 2;
        VALUE_COUNT = 10;
        values_storage = new String[SERIES_COUNT][CATEGORY_COUNT];

        DefaultBoxAndWhiskerCategoryDataset result = new DefaultBoxAndWhiskerCategoryDataset();

        for (int s = 0; s < SERIES_COUNT; s++) {
            for (int c = 0; c < CATEGORY_COUNT; c++) {
                List values = createValueList(0, 20.0, VALUE_COUNT);
                values_storage[s][c] = vs;
                result.add(values, "Series " + s, "Category " + c);
            }
        }
        return result;
    } else
        return super.createDataset(false);
}

---

From source file:edu.ucla.stat.SOCR.chart.demo.BoxAndWhiskerChartDemo3.java

/**
 * Returns a sample dataset./*from www.  j ava  2  s  .  c o m*/
 * 
 * @return The dataset.
 */
protected BoxAndWhiskerCategoryDataset createDataset(boolean isDemo) {
    if (isDemo) {
        rangeLabel = "Value";
        SERIES_COUNT = 3;
        // CATEGORY_COUNT = 2;
        VALUE_COUNT = 10;
        values_storage = new String[SERIES_COUNT][CATEGORY_COUNT];

        DefaultBoxAndWhiskerCategoryDataset result = new DefaultBoxAndWhiskerCategoryDataset();

        for (int s = 0; s < SERIES_COUNT; s++) {
            for (int c = 0; c < CATEGORY_COUNT; c++) {
                List values = createValueList(0, 20.0, VALUE_COUNT);
                values_storage[s][c] = vs;
                result.add(values, "Series " + s, "Category " + c);
            }
        }
        return result;
    } else
        return super.createDataset(false);
}

---

From source file:org.jax.bham.test.PhenotypeEffectPlotPanel.java

private BoxAndWhiskerCategoryDataset createDataset() {
    DefaultBoxAndWhiskerCategoryDataset dataset = new DefaultBoxAndWhiskerCategoryDataset();

    if (this.showIndividualStrainEffectsCheckBox.isSelected()) {
        for (Entry<String, ? extends Collection<String>> strainGroupEntry : this.strainGroups.entrySet()) {
            for (String strain : strainGroupEntry.getValue()) {
                dataset.add(this.phenotypeData.get(strain), strain, strainGroupEntry.getKey());
            }//from   ww  w  . ja v a  2  s .c om
        }
    } else {
        Map<String, Double> meanPhenoData = new HashMap<String, Double>(this.phenotypeData.size());
        for (Entry<String, List<Double>> phenoEntry : this.phenotypeData.entrySet()) {
            if (!phenoEntry.getValue().isEmpty()) {
                double sum = 0.0;
                for (double value : phenoEntry.getValue()) {
                    sum += value;
                }
                double mean = sum / phenoEntry.getValue().size();

                meanPhenoData.put(phenoEntry.getKey(), mean);
            }
        }

        for (Entry<String, ? extends Collection<String>> strainGroupEntry : this.strainGroups.entrySet()) {
            List<Double> valueList = new ArrayList<Double>(strainGroupEntry.getValue().size());
            for (String strain : strainGroupEntry.getValue()) {
                valueList.add(meanPhenoData.get(strain));
            }
            dataset.add(valueList, SequenceUtilities.toString(strainGroupEntry.getValue(), ", "),
                    strainGroupEntry.getKey());
        }
    }

    return dataset;
}

---

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

/**
 * Some checks for the remove method.//from ww w. j av  a  2 s.c o  m
 */
@Test
public void testRemove() {
    DefaultBoxAndWhiskerCategoryDataset data = new DefaultBoxAndWhiskerCategoryDataset();

    boolean pass = false;
    try {
        data.remove("R1", "R2");
    } 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");
    assertEquals(new Range(8.5, 9.5), data.getRangeBounds(false));
    assertEquals(new Range(8.5, 9.5), data.getRangeBounds(true));
}

---

From source file:umontreal.iro.lecuyer.charts.BoxSeriesCollection.java

/**
 * Creates a new <TT>BoxSeriesCollection</TT> instance with default parameters
 *  and input series <TT>data</TT>. Only <SPAN  CLASS="textit">the first</SPAN> <TT>numPoints</TT>
 *  of <TT>data</TT> will taken into account.
 * /* ww w .ja v  a  2 s.c  o  m*/
 * @param data point sets.
 * 
 *    @param numPoints Number of points
 * 
 * 
 */
public BoxSeriesCollection(double[] data, int numPoints) {
    renderer = new BoxAndWhiskerRenderer();

    ((BoxAndWhiskerRenderer) renderer).setMaximumBarWidth(BARWIDTH);
    seriesCollection = new DefaultBoxAndWhiskerCategoryDataset();

    DefaultBoxAndWhiskerCategoryDataset tempSeriesCollection = (DefaultBoxAndWhiskerCategoryDataset) seriesCollection;

    final List<Double> list = new ArrayList<Double>();
    for (int i = 0; i < numPoints; i++)
        list.add(data[i]);

    tempSeriesCollection.add(list, 0, 0);
}

---

From source file:edu.ucla.stat.SOCR.chart.demo.BoxAndWhiskerChartDemo2.java

protected BoxAndWhiskerCategoryDataset createDataset(boolean isDemo) {

    if (isDemo) {
        SERIES_COUNT = 1;//  w w w. ja v  a 2s  .  c om
        CATEGORY_COUNT = 1;
        VALUE_COUNT = 10;
        values_storage = new String[SERIES_COUNT][CATEGORY_COUNT];

        DefaultBoxAndWhiskerCategoryDataset result = new DefaultBoxAndWhiskerCategoryDataset();

        List values = createValueList(0, 20.0, VALUE_COUNT);
        values_storage[0][0] = vs;
        result.add(values, "", "Data");

        raw_y = new String[VALUE_COUNT];
        StringTokenizer st = new StringTokenizer(vs, DELIMITERS);
        data_count = st.countTokens();

        for (int i = 0; i < data_count; i++) {
            raw_y[i] = st.nextToken();
        }
        return result;
    }

    else {

        setArrayFromTable();

        int row_count = xyLength;
        //System.out.println("row_count="+row_count);
        raw_y = new String[row_count];

        data_count = 0;
        String v_list = new String();
        independentVarLength = 1;

        for (int index = 0; index < independentVarLength; index++)
            for (int i = 0; i < xyLength; i++) {
                raw_y[i] = indepValues[i][index];
                try {
                    Double.parseDouble(raw_y[i]);
                    data_count++;
                    v_list += raw_y[i] + ",";
                } catch (Exception e) {
                    System.out.println("Skipping " + raw_y[i]);
                }

            }

        // create the dataset... 
        DefaultBoxAndWhiskerCategoryDataset dataset = new DefaultBoxAndWhiskerCategoryDataset();
        SERIES_COUNT = 1;
        CATEGORY_COUNT = 1;
        values_storage = new String[SERIES_COUNT][CATEGORY_COUNT];

        dataset.add(createValueList(v_list), "", independentHeaders[0]);
        values_storage[0][0] = vs;

        return dataset;
    }
}

---

From source file:br.upe.ecomp.dosa.controller.chart.FileBoxplotChartManager.java

private BoxAndWhiskerCategoryDataset createSampleDataset(double[][] values, int step) {

    DefaultBoxAndWhiskerCategoryDataset dataset = new DefaultBoxAndWhiskerCategoryDataset();
    ArrayList<Double> list = null;
    for (int i = 0; i < values.length; i++) {
        list = new ArrayList<Double>();
        for (int j = 0; j < values[i].length; j++) {
            list.add(values[i][j]);/*from   w w w  .ja va  2s  .  co m*/
        }
        Collections.sort(list);
        // dataset.add(list, "Series", " Iteration " + i);
        dataset.add(BoxAndWhiskerCalculator.calculateBoxAndWhiskerStatistics(list), "Boxplot Evolution chart",
                i * step);
    }
    return dataset;
}

---

From source file:adapters.BoxSeriesCollectionAdapter.java

/**
 * Creates a new <TT>BoxSeriesCollection</TT> instance with default parameters
 *  and input series <TT>data</TT>. Only <SPAN  CLASS="textit">the first</SPAN> <TT>numPoints</TT>
 *  of <TT>data</TT> will taken into account.
 *
 * @param data point sets.//  ww w  .j a  v a2 s.c  om
 *
 *    @param numPoints Number of points
 *
 *
 */
public BoxSeriesCollectionAdapter(double[] data, int numPoints) {
    renderer = new BoxAndWhiskerRenderer();

    ((BoxAndWhiskerRenderer) renderer).setMaximumBarWidth(BARWIDTH);
    seriesCollection = new DefaultBoxAndWhiskerCategoryDataset();

    DefaultBoxAndWhiskerCategoryDataset tempSeriesCollection = (DefaultBoxAndWhiskerCategoryDataset) seriesCollection;

    final List<Double> list = new ArrayList<Double>();
    for (int i = 0; i < numPoints; i++)
        list.add(data[i]);

    tempSeriesCollection.add(list, 0, 0);
}

---

From source file:fr.ens.transcriptome.corsen.gui.qt.ResultGraphs.java

/**
 * Create a box plot qimage.//from   w  w w.  jav a  2 s. c o m
 * @param data Data to use
 * @return a QImage
 */
public QImage createBoxPlot(final double[] data, final String unit) {

    if (data == null || data.length < 2)
        return null;

    this.width = this.width / 2;

    List<Float> listData = new ArrayList<Float>(data.length);
    for (int i = 0; i < data.length; i++)
        listData.add((float) data[i]);

    DefaultBoxAndWhiskerCategoryDataset defaultboxandwhiskercategorydataset = new DefaultBoxAndWhiskerCategoryDataset();
    defaultboxandwhiskercategorydataset.add(listData, "Distances", "Min");

    JFreeChart chart = ChartFactory.createBoxAndWhiskerChart("Intensities Boxplot", "",
            "Distance" + unitLegend(unit), defaultboxandwhiskercategorydataset, false);

    addTransparency(chart);

    final BufferedImage image = chart.createBufferedImage(this.width, this.height, BufferedImage.TYPE_INT_ARGB,
            null);

    return new QImage(toByte(image.getData().getDataBuffer()), this.width, this.height,
            QImage.Format.Format_ARGB32);

}

---

From source file:org.locationtech.udig.processingtoolbox.tools.BoxPlotDialog.java

private BoxAndWhiskerCategoryDataset getDataset(SimpleFeatureCollection features, String[] fields) {
    minMaxVisitor.reset();// w w  w  .jav a2 s.c  o m

    Expression[] expression = new Expression[fields.length];
    Map<String, List<Double>> listMap = new TreeMap<String, List<Double>>();
    for (int index = 0; index < expression.length; index++) {
        expression[index] = ff.property(fields[index]);
        listMap.put(fields[index], new ArrayList<Double>());
    }

    SimpleFeatureIterator featureIter = features.features();
    try {
        while (featureIter.hasNext()) {
            SimpleFeature feature = featureIter.next();
            for (int index = 0; index < expression.length; index++) {
                Double val = expression[index].evaluate(feature, Double.class);
                if (val == null || val.isNaN() || val.isInfinite()) {
                    continue;
                }
                minMaxVisitor.visit(val, val);
                listMap.get(fields[index]).add(val);
            }
        }
    } finally {
        featureIter.close();
    }

    DefaultBoxAndWhiskerCategoryDataset dataset = new DefaultBoxAndWhiskerCategoryDataset();
    for (int index = 0; index < fields.length; index++) {
        dataset.add(listMap.get(fields[index]), "Series1", fields[index]); //$NON-NLS-1$
    }
    return dataset;
}

---

• «
• 1
• 2
• 3
• 4
• 5
• 6
• 7
• 8
• 9
• »