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

List of usage examples for org.jfree.data.statistics DefaultBoxAndWhiskerCategoryDataset add

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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:gov.nih.nci.ispy.ui.graphing.chart.plot.ISPYCategoricalCorrelationPlot.java

private DefaultBoxAndWhiskerCategoryDataset createChartData() {

    DefaultBoxAndWhiskerCategoryDataset dataSet = new DefaultBoxAndWhiskerCategoryDataset();

    int i = 0;//from  ww w  . ja v  a 2 s .c o m
    ReporterInfo ri;
    String sequenceName = "";
    for (DataPointVector vec : categoryData) {
        if ((reporterInfoList != null) && (!reporterInfoList.isEmpty())) {
            ri = reporterInfoList.get(i);
            if (ri != null) {
                sequenceName = ri.getGeneSymbol() + " " + ri.getReporterName();
            }
        }
        //only using the X component of the vector to hold the data y and z are not used.
        List<Double> values = removeNaNandNulls(vec.getXValues());
        String categoryName = vec.getName() + " N=" + values.size();
        dataSet.add(values, sequenceName, categoryName);

    }
    return dataSet;
}

From source file:net.sf.maltcms.chromaui.normalization.spi.charts.PeakGroupBoxPlot.java

public List<JFreeChart> createChart() {
    List<JFreeChart> charts = new ArrayList<>();
    LinkedHashSet<ITreatmentGroupDescriptor> treatmentGroups = new LinkedHashSet<>(
            project.getTreatmentGroups());
    List<CategoryPlot> plots = new LinkedList<>();
    for (IPeakGroupDescriptor pgd : pgdl) {
        LinkedHashMap<ITreatmentGroupDescriptor, HashSet<IPeakAnnotationDescriptor>> map = new LinkedHashMap<>();
        for (ITreatmentGroupDescriptor itgd : treatmentGroups) {
            map.put(itgd, new LinkedHashSet<IPeakAnnotationDescriptor>());
        }/*from  w  ww . ja  v  a 2  s . com*/
        List<IPeakAnnotationDescriptor> descriptors = pgd.getPeakAnnotationDescriptors();

        DefaultBoxAndWhiskerCategoryDataset baw = new DefaultBoxAndWhiskerCategoryDataset();
        for (IPeakAnnotationDescriptor ipad : descriptors) {
            ITreatmentGroupDescriptor treatmentGroup = ipad.getChromatogramDescriptor().getTreatmentGroup();
            HashSet<IPeakAnnotationDescriptor> descr = map.get(treatmentGroup);
            if (descr == null) {
                descr = new HashSet<>();
                map.put(treatmentGroup, descr);
            }
            descr.add(ipad);
        }
        List<Color> colors = new LinkedList<>();
        for (ITreatmentGroupDescriptor tgd : map.keySet()) {
            String name = getPeakName(pgd);
            baw.add(createBoxAndWhiskerItem(map.get(tgd)), tgd.getName() + " (" + map.get(tgd).size() + ")",
                    name);
            colors.add(tgd.getColor());
        }
        BoxAndWhiskerRenderer renderer = new BoxAndWhiskerRenderer();
        renderer.setFillBox(true);
        renderer.setMeanVisible(false);
        renderer.setMedianVisible(true);
        renderer.setArtifactPaint(new Color(0, 0, 0, 128));
        renderer.setMaximumBarWidth(0.1);
        renderer.setUseOutlinePaintForWhiskers(false);
        //            renderer.setAutoPopulateSeriesFillPaint(true);
        //            renderer.setAutoPopulateSeriesPaint(true);
        //            renderer.setAutoPopulateSeriesOutlinePaint(true);
        CategoryPlot cp = new CategoryPlot(baw, new CategoryAxis("Treatment Groups"),
                new NumberAxis("Normalized Peak Area"), renderer);
        Logger.getLogger(getClass().getName()).log(Level.INFO, "Setting {0} colors!", colors.size());
        ChartCustomizer.setSeriesColors(cp, 0.6f, colors);
        //            ChartCustomizer.setSeriesColors(cp, 0.9f,colors);
        plots.add(cp);
        JFreeChart chart = new JFreeChart(cp);
        chart.setTitle(
                "Peak group " + pgd.getDisplayName() + " size: " + pgd.getPeakAnnotationDescriptors().size());
        charts.add(chart);
    }
    //        CategoryAxis ca = new CategoryAxis("Treatment Groups");
    //        NumberAxis va = new NumberAxis("Normalized Peak Area");
    //        CombinedDomainCategoryPlot cdcp = new CombinedDomainCategoryPlot(ca);
    //        for (CategoryPlot cp : plots) {
    //            cp.setRangeAxis(va);
    //            cdcp.add(cp);
    //            break;
    //        }
    //        return new JFreeChart(cdcp);
    return charts;
}

From source file:net.sf.maltcms.chromaui.normalization.spi.charts.PeakGroupRtBoxPlot.java

public List<JFreeChart> createChart() {
    List<JFreeChart> charts = new ArrayList<>();
    LinkedHashSet<ITreatmentGroupDescriptor> treatmentGroups = new LinkedHashSet<>(
            project.getTreatmentGroups());
    List<CategoryPlot> plots = new LinkedList<>();
    for (IPeakGroupDescriptor pgd : pgdl) {
        LinkedHashMap<ITreatmentGroupDescriptor, HashSet<IPeakAnnotationDescriptor>> map = new LinkedHashMap<>();
        for (ITreatmentGroupDescriptor itgd : treatmentGroups) {
            map.put(itgd, new LinkedHashSet<IPeakAnnotationDescriptor>());
        }/*w  w w  .j a va 2 s  . c o m*/
        List<IPeakAnnotationDescriptor> descriptors = pgd.getPeakAnnotationDescriptors();

        DefaultBoxAndWhiskerCategoryDataset baw = new DefaultBoxAndWhiskerCategoryDataset();
        for (IPeakAnnotationDescriptor ipad : descriptors) {
            ITreatmentGroupDescriptor treatmentGroup = ipad.getChromatogramDescriptor().getTreatmentGroup();
            HashSet<IPeakAnnotationDescriptor> descr = map.get(treatmentGroup);
            if (descr == null) {
                descr = new HashSet<>();
                map.put(treatmentGroup, descr);
            }
            descr.add(ipad);
        }
        List<Color> colors = new LinkedList<>();
        for (ITreatmentGroupDescriptor tgd : map.keySet()) {
            String name = getPeakName(pgd);
            baw.add(createBoxAndWhiskerItem(map.get(tgd)), tgd.getName() + " (" + map.get(tgd).size() + ")",
                    name);
            colors.add(tgd.getColor());
        }
        BoxAndWhiskerRenderer renderer = new BoxAndWhiskerRenderer();
        renderer.setFillBox(true);
        renderer.setMeanVisible(false);
        renderer.setMedianVisible(true);
        renderer.setArtifactPaint(new Color(0, 0, 0, 128));
        renderer.setMaximumBarWidth(0.1);

        renderer.setUseOutlinePaintForWhiskers(false);
        //            renderer.setAutoPopulateSeriesFillPaint(true);
        //            renderer.setAutoPopulateSeriesPaint(true);
        //            renderer.setAutoPopulateSeriesOutlinePaint(true);
        NumberAxis yAxis = new NumberAxis("Peak Apex Retention Time");
        yAxis.setAutoRange(true);
        yAxis.setAutoRangeIncludesZero(false);
        CategoryPlot cp = new CategoryPlot(baw, new CategoryAxis("Treatment Groups"), yAxis, renderer);
        Logger.getLogger(getClass().getName()).log(Level.INFO, "Setting {0} colors!", colors.size());
        ChartCustomizer.setSeriesColors(cp, 0.6f, colors);
        //            ChartCustomizer.setSeriesColors(cp, 0.9f,colors);
        plots.add(cp);
        JFreeChart chart = new JFreeChart(cp);
        chart.setTitle(
                "Peak group " + pgd.getDisplayName() + " size: " + pgd.getPeakAnnotationDescriptors().size());
        charts.add(chart);
    }
    //        CategoryAxis ca = new CategoryAxis("Treatment Groups");
    //        NumberAxis va = new NumberAxis("Normalized Peak Area");
    //        CombinedDomainCategoryPlot cdcp = new CombinedDomainCategoryPlot(ca);
    //        for (CategoryPlot cp : plots) {
    //            cp.setRangeAxis(va);
    //            cdcp.add(cp);
    //            break;
    //        }
    //        return new JFreeChart(cdcp);
    return charts;
}

From source file:edu.gmu.cs.sim.util.media.chart.BoxPlotGenerator.java

protected void update() {
    // We have to rebuild the dataset from scratch (deleting and replacing it) because JFreeChart's
    // BoxPlot facility doesn't have a way to remove or move elements.  Stupid stupid stupid.

    SeriesAttributes[] sa = getSeriesAttributes();
    DefaultBoxAndWhiskerCategoryDataset dataset = new DefaultBoxAndWhiskerCategoryDataset();

    for (int i = 0; i < sa.length; i++) {
        BoxPlotSeriesAttributes attributes = (BoxPlotSeriesAttributes) (sa[i]);
        double[][] values = attributes.getValues();
        String[] labels = attributes.getLabels();
        //UniqueString series = new UniqueString(attributes.getSeriesName());
        String series = attributes.getSeriesName();
        for (int j = 0; j < values.length; j++) {
            dataset.add(buildList(values[j]), series, labels[j]);
        }/*from   w w  w  .j  av a2s. c  o  m*/
    }

    ((BoxAndWhiskerRenderer) (((CategoryPlot) (chart.getPlot())).getRenderer()))
            .setMaximumBarWidth(getMaximumWidth());

    setSeriesDataset(dataset);
}

From source file:org.matsim.counts.algorithms.graphs.BoxPlotErrorGraph.java

@SuppressWarnings("unchecked")
@Override/*w  ww .  j  a  v a  2s. c o  m*/
public JFreeChart createChart(final int nbr) {

    DefaultBoxAndWhiskerCategoryDataset dataset0 = new DefaultBoxAndWhiskerCategoryDataset();
    DefaultBoxAndWhiskerCategoryDataset dataset1 = new DefaultBoxAndWhiskerCategoryDataset();

    final ArrayList<Double>[] listRel = new ArrayList[24];
    final ArrayList<Double>[] listAbs = new ArrayList[24];

    // init
    for (int i = 0; i < 24; i++) {
        listRel[i] = new ArrayList<Double>();
        listAbs[i] = new ArrayList<Double>();
    }

    // add the values of all counting stations to each hour
    for (CountSimComparison cc : this.ccl_) {
        int hour = cc.getHour() - 1;
        listRel[hour].add(cc.calculateRelativeError());
        listAbs[hour].add(cc.getSimulationValue() - cc.getCountValue());
    }

    // add the collected values to the graph / dataset
    for (int i = 0; i < 24; i++) {
        dataset0.add(listRel[i], "Rel Error", Integer.toString(i + 1));
        dataset1.add(listAbs[i], "Abs Error", Integer.toString(i + 1));
    }

    String title = "Iteration: " + this.iteration_;

    final CombinedDomainCategoryPlot plot = new CombinedDomainCategoryPlot();

    final CategoryAxis xAxis = new CategoryAxis("Hour");
    final NumberAxis yAxis0 = new NumberAxis("Signed Rel. Error [%]");
    final NumberAxis yAxis1 = new NumberAxis("Signed Abs. Error [veh]");
    yAxis0.setAutoRangeIncludesZero(false);
    yAxis1.setAutoRangeIncludesZero(false);

    final BoxAndWhiskerRenderer renderer = new BoxAndWhiskerRenderer();
    renderer.setFillBox(false);
    renderer.setSeriesPaint(0, Color.blue);
    renderer.setSeriesToolTipGenerator(0, new BoxAndWhiskerToolTipGenerator());

    CategoryPlot subplot0 = new CategoryPlot(dataset0, xAxis, yAxis0, renderer);
    CategoryPlot subplot1 = new CategoryPlot(dataset1, xAxis, yAxis1, renderer);

    plot.add(subplot0);
    plot.add(subplot1);

    final CategoryAxis axis1 = new CategoryAxis("hour");
    axis1.setTickLabelFont(new Font("SansSerif", Font.PLAIN, 7));
    axis1.setCategoryLabelPositions(CategoryLabelPositions.UP_45);
    plot.setDomainAxis(axis1);

    this.chart_ = new JFreeChart(title, new Font("SansSerif", Font.BOLD, 14), plot, false);
    return this.chart_;
}

From source file:org.matsim.counts.algorithms.graphs.BoxPlotNormalizedErrorGraph.java

@SuppressWarnings("unchecked")
@Override//from  w  ww. ja va2 s . com
public JFreeChart createChart(final int nbr) {

    DefaultBoxAndWhiskerCategoryDataset dataset0 = new DefaultBoxAndWhiskerCategoryDataset();
    DefaultBoxAndWhiskerCategoryDataset dataset1 = new DefaultBoxAndWhiskerCategoryDataset();

    final ArrayList<Double>[] listRel = new ArrayList[24];
    final ArrayList<Double>[] listAbs = new ArrayList[24];

    // init
    for (int i = 0; i < 24; i++) {
        listRel[i] = new ArrayList<Double>();
        listAbs[i] = new ArrayList<Double>();
    }

    // add the values of all counting stations to each hour
    for (CountSimComparison cc : this.ccl_) {
        int hour = cc.getHour() - 1;
        listRel[hour].add(cc.calculateNormalizedRelativeError() * 100);
        listAbs[hour].add(cc.getSimulationValue() - cc.getCountValue());
    }

    // add the collected values to the graph / dataset
    for (int i = 0; i < 24; i++) {
        dataset0.add(listRel[i], "Rel Norm Error", Integer.toString(i + 1));
        dataset1.add(listAbs[i], "Abs Error", Integer.toString(i + 1));
    }

    String title = "Iteration: " + this.iteration_;

    final CombinedDomainCategoryPlot plot = new CombinedDomainCategoryPlot();

    final CategoryAxis xAxis = new CategoryAxis("Hour");
    final NumberAxis yAxis0 = new NumberAxis("Norm. Rel. Error [%]");
    final NumberAxis yAxis1 = new NumberAxis("Signed Abs. Error [veh]");
    yAxis0.setAutoRangeIncludesZero(false);
    yAxis1.setAutoRangeIncludesZero(false);

    final BoxAndWhiskerRenderer renderer = new BoxAndWhiskerRenderer();
    renderer.setFillBox(false);
    renderer.setSeriesPaint(0, Color.blue);
    renderer.setSeriesToolTipGenerator(0, new BoxAndWhiskerToolTipGenerator());

    CategoryPlot subplot0 = new CategoryPlot(dataset0, xAxis, yAxis0, renderer);
    CategoryPlot subplot1 = new CategoryPlot(dataset1, xAxis, yAxis1, renderer);

    plot.add(subplot0);
    plot.add(subplot1);

    final CategoryAxis axis1 = new CategoryAxis("hour");
    axis1.setTickLabelFont(new Font("SansSerif", Font.PLAIN, 7));
    axis1.setCategoryLabelPositions(CategoryLabelPositions.UP_45);
    plot.setDomainAxis(axis1);

    this.chart_ = new JFreeChart(title, new Font("SansSerif", Font.BOLD, 14), plot, false);
    return this.chart_;
}

From source file:edu.ucla.stat.SOCR.analyses.gui.Chart.java

private BoxAndWhiskerCategoryDataset createBoxAndWhiskerDataset(int seriesCount, int categoryCount,
        String[] seriesName, String[][] categoryName, double[][][] values) {

    List<Double> list;

    DefaultBoxAndWhiskerCategoryDataset result = new DefaultBoxAndWhiskerCategoryDataset();

    for (int s = 0; s < seriesCount; s++) {
        for (int c = 0; c < categoryCount; c++) {
            list = new java.util.ArrayList<Double>();
            for (int i = 0; i < Array.getLength(values[s][c]); i++)
                list.add(new Double(values[s][c][i]));
            result.add(list, seriesName[s], categoryName[s][c]);
        }// w  ww  .  jav a  2  s  .c  om
    }
    return result;

}

From source file:guineu.modules.visualization.intensityboxplot.IntensityBoxPlotFrame.java

private BoxAndWhiskerCategoryDataset createSampleDataset() {

    final DefaultBoxAndWhiskerCategoryDataset dataset = new DefaultBoxAndWhiskerCategoryDataset();

    final List list = new ArrayList();
    if (!xAxisValueSource.equals("Sample")) {
        Dataset data = GuineuCore.getDesktop().getSelectedDataFiles()[0];
        List<String> parameterValues = data.getParameterAvailableValues((String) xAxisValueSource);
        for (int i = 0; i < parameterValues.size(); i++) {
            for (String sampleName : this.selectedFiles) {
                if (parameterValues.get(i)
                        .equals(data.getParametersValue(sampleName, (String) xAxisValueSource))) {
                    for (int k = 0; k < this.selectedRows.length; k++) {
                        Double value = (Double) this.selectedRows[k].getPeak(sampleName);
                        list.add(value);

                    }/*ww  w  .  j ava2  s. c o m*/
                }
            }

            dataset.add(BoxAndWhiskerCalculator.calculateBoxAndWhiskerStatistics(list), "Series ",
                    parameterValues.get(i));
        }
    } else {
        for (int i = 0; i < this.selectedFiles.length; i++) {
            for (int k = 0; k < this.selectedRows.length; k++) {
                Double value = (Double) this.selectedRows[k].getPeak(this.selectedFiles[i]);
                list.add(value);
            }
            dataset.add(BoxAndWhiskerCalculator.calculateBoxAndWhiskerStatistics(list), "Series ",
                    this.selectedFiles[i]);
        }
    }

    return dataset;
}

From source file:edu.ucla.stat.SOCR.analyses.gui.Chart.java

public JFreeChart getBoxAndWhiskerChart(String title, String xLabel, String yLabel, int sCount, int cCount,
        int xyLength, String[][] input) {

    DefaultBoxAndWhiskerCategoryDataset dataset = new DefaultBoxAndWhiskerCategoryDataset();
    for (int s = 0; s < sCount; s++)
        for (int c = 0; c < cCount; c++) {
            String v = "";
            for (int i = 0; i < xyLength; i++)
                if (input[i][s] != null && input[i][s].length() != 0)
                    v = v + input[i][s] + ",";

            //values_storage[s][c]= v;
            dataset.add(createValueList(v), "Series " + s, "Category " + c);

        }/*from   w  w  w  . jav a  2 s  .c  o  m*/

    JFreeChart chart = createBoxAndWhiskerChart(title, xLabel, yLabel, dataset);
    return chart;

}

From source file:keel.Algorithms.UnsupervisedLearning.AssociationRules.Visualization.keelassotiationrulesboxplot.ResultsProccessor.java

public void writeToFile(String outName)
        throws FileNotFoundException, UnsupportedEncodingException, IOException {
    //calcMeans();

    // Create JFreeChart Dataset
    DefaultBoxAndWhiskerCategoryDataset dataset = new DefaultBoxAndWhiskerCategoryDataset();

    HashMap<String, ArrayList<Double>> measuresFirst = algorithmMeasures.entrySet().iterator().next()
            .getValue();//from w w w  .  ja  v a  2s. c  o  m
    for (Map.Entry<String, ArrayList<Double>> measure : measuresFirst.entrySet()) {
        String measureName = measure.getKey();
        //Double measureValue = measure.getValue();
        dataset.clear();

        for (Map.Entry<String, HashMap<String, ArrayList<Double>>> entry : algorithmMeasures.entrySet()) {
            String alg = entry.getKey();
            ArrayList<Double> measureValues = entry.getValue().get(measureName);

            // Parse algorithm name to show it correctly
            String aName = alg.substring(0, alg.length() - 1);
            int startAlgName = aName.lastIndexOf("/");
            aName = aName.substring(startAlgName + 1);

            dataset.add(measureValues, aName, measureName);
        }

        // Tutorial: http://www.java2s.com/Code/Java/Chart/JFreeChartBoxAndWhiskerDemo.htm
        final CategoryAxis xAxis = new CategoryAxis("Algorithm");
        final NumberAxis yAxis = new NumberAxis("Value");
        yAxis.setAutoRangeIncludesZero(false);
        final BoxAndWhiskerRenderer renderer = new BoxAndWhiskerRenderer();

        // Black and White
        int numItems = algorithmMeasures.size();
        for (int i = 0; i < numItems; i++) {
            Color color = Color.DARK_GRAY;
            if (i % 2 == 1) {
                color = Color.LIGHT_GRAY;
            }
            renderer.setSeriesPaint(i, color);
            renderer.setSeriesOutlinePaint(i, Color.BLACK);
        }

        renderer.setMeanVisible(false);
        renderer.setFillBox(false);
        renderer.setToolTipGenerator(new BoxAndWhiskerToolTipGenerator());
        final CategoryPlot plot = new CategoryPlot(dataset, xAxis, yAxis, renderer);

        Font font = new Font("SansSerif", Font.BOLD, 10);
        //ChartFactory.setChartTheme(StandardChartTheme.createLegacyTheme());
        JFreeChart jchart = new JFreeChart("Assotiation Rules Measures - BoxPlot", font, plot, true);
        //StandardChartTheme.createLegacyTheme().apply(jchart);

        int width = 640 * 2; /* Width of the image */
        int height = 480 * 2; /* Height of the image */

        // JPEG
        File chart = new File(outName + "_" + measureName + "_boxplot.jpg");
        ChartUtilities.saveChartAsJPEG(chart, jchart, width, height);

        // SVG
        SVGGraphics2D g2 = new SVGGraphics2D(width, height);
        Rectangle r = new Rectangle(0, 0, width, height);
        jchart.draw(g2, r);
        File BarChartSVG = new File(outName + "_" + measureName + "_boxplot.svg");
        SVGUtils.writeToSVG(BarChartSVG, g2.getSVGElement());
    }

}