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

Introduction

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

Prototype

public DefaultBoxAndWhiskerCategoryDataset() 

Source Link

Document

Creates a new dataset.

Usage

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

protected BoxAndWhiskerCategoryDataset createDataset(boolean isDemo) {

    if (isDemo) {
        SERIES_COUNT = 1;/*  w  w  w. j av  a  2 s.c  o m*/
        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;
    }
}

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From source file:wsattacker.plugin.intelligentdos.ui.helper.ChartHelper.java

/**
 * @return/*from   www  . j  a  v a2  s .c  o  m*/
 */
private static BoxAndWhiskerCategoryDataset createDataset(SuccessfulAttack sa) {
    DefaultBoxAndWhiskerCategoryDataset dataset = new DefaultBoxAndWhiskerCategoryDataset();

    add(dataset, RequestType.UNTAMPERED, sa.getUntamperedMetrics());
    add(dataset, RequestType.TAMPERED, sa.getTamperedMetrics());
    add(dataset, RequestType.TESTPROBES, sa.getTestProbeMetrics());

    return dataset;
}

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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  ww.j a  va2s  . com*/
        }
        Collections.sort(list);
        // dataset.add(list, "Series", " Iteration " + i);
        dataset.add(BoxAndWhiskerCalculator.calculateBoxAndWhiskerStatistics(list), "Boxplot Evolution chart",
                i * step);
    }
    return dataset;
}

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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 ww. j  av  a2 s  .  c  om*/

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

}

---

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

protected void buildChart() {
    DefaultBoxAndWhiskerCategoryDataset dataset = new DefaultBoxAndWhiskerCategoryDataset();

    // we build the chart manually rather than using ChartFactory
    // because we need to customize the getDataRange method below

    CategoryAxis categoryAxis = new CategoryAxis("");
    NumberAxis valueAxis = new NumberAxis("Untitled Y Axis");
    valueAxis.setAutoRangeIncludesZero(false);
    BoxAndWhiskerRenderer renderer = new BoxAndWhiskerRenderer();
    renderer.setBaseToolTipGenerator(new BoxAndWhiskerToolTipGenerator());
    CategoryPlot plot = new CategoryPlot(dataset, categoryAxis, valueAxis, renderer) {
        // Customizing this method in order to provide a bit of
        // vertical buffer.  Otherwise the bar chart box gets drawn
        // slightly off-chart, which looks really bad.

        public Range getDataRange(ValueAxis axis) {
            Range range = super.getDataRange(axis);
            if (range == null) {
                return null;
            }//from  w ww.  ja v a  2 s .c o m
            final double EXTRA_PERCENTAGE = 0.02;
            return Range.expand(range, EXTRA_PERCENTAGE, EXTRA_PERCENTAGE);
        }
    };

    chart = new JFreeChart("Untitled Chart", JFreeChart.DEFAULT_TITLE_FONT, plot, false);
    ChartFactory.getChartTheme().apply(chart);

    chart.setAntiAlias(true);
    chartPanel = buildChartPanel(chart);
    setChartPanel(chartPanel);

    // this must come last because the chart must exist for us to set its dataset
    setSeriesDataset(dataset);
}

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From source file:adapters.BoxSeriesCollectionAdapter.java

/**
 * Creates a new <TT>BoxSeriesCollection</TT> instance with an empty dataset.
 *
 *///from  w  w  w. j  a va  2  s . c  o  m
public BoxSeriesCollectionAdapter() {
    renderer = new BoxAndWhiskerRenderer();
    seriesCollection = new DefaultBoxAndWhiskerCategoryDataset();
    ((BoxAndWhiskerRenderer) renderer).setMaximumBarWidth(BARWIDTH);
}

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From source file:unalcol.termites.boxplots.ECALinfoCollected.java

/**
 * Creates a sample dataset.//from   w  ww .  j  a va2s  . c  o  m
 *
 * @return A sample dataset.
 */
private BoxAndWhiskerCategoryDataset createSampleDataset(ArrayList<Double> Pf) {

    final int seriesCount = 5;
    final int categoryCount = 4;
    final int entityCount = 22;
    String sDirectorio = ".\\experiments\\ECAL CR";
    File f = new File(sDirectorio);
    String extension;
    File[] files = f.listFiles();
    Hashtable<String, String> Pop = new Hashtable<>();
    PrintWriter escribir;
    Scanner sc = null;
    ArrayList<Integer> aPops = new ArrayList<>();
    ArrayList<Double> aPf = new ArrayList<>();
    ArrayList<String> aTech = new ArrayList<>();

    final DefaultBoxAndWhiskerCategoryDataset dataset = new DefaultBoxAndWhiskerCategoryDataset();

    for (File file : files) {
        extension = "";
        int i = file.getName().lastIndexOf('.');
        int p = Math.max(file.getName().lastIndexOf('/'), file.getName().lastIndexOf('\\'));
        if (i > p) {
            extension = file.getName().substring(i + 1);
        }

        // System.out.println(file.getName() + "extension" + extension);
        if (file.isFile() && extension.equals("csv") && file.getName().startsWith("experiment")) {
            System.out.println(file.getName());
            System.out.println("get: " + file.getName());
            String[] filenamep = file.getName().split(Pattern.quote("+"));

            System.out.println("file" + filenamep[8]);

            int popsize = Integer.valueOf(filenamep[2]);
            double pf = Double.valueOf(filenamep[4]);
            String mode = filenamep[6];

            int maxIter = -1;
            //if (!filenamep[8].isEmpty()) {
            maxIter = Integer.valueOf(filenamep[8]);
            //}

            System.out.println("psize:" + popsize);
            System.out.println("pf:" + pf);
            System.out.println("mode:" + mode);
            System.out.println("maxIter:" + maxIter);

            String[] aMode = { "random", "levywalk", "sandc" };

            if (/*Pf == pf && */isInMode(aMode, mode)) {
                final List list = new ArrayList();
                try {
                    sc = new Scanner(file);

                } catch (FileNotFoundException ex) {
                    Logger.getLogger(DataCollectedLatexConsolidatorSASOMessagesSend1.class.getName())
                            .log(Level.SEVERE, null, ex);
                }
                int agentsCorrect = 0;
                int worldSize = 0;
                double averageExplored = 0.0;
                int bestRoundNumber = 0;
                double avgSend = 0;
                double avgRecv = 0;
                double avgdataExplInd = 0;
                ArrayList<Double> acSt = new ArrayList<>();
                ArrayList<Double> avgExp = new ArrayList<>();
                ArrayList<Double> bestR = new ArrayList<>();
                ArrayList<Double> avSnd = new ArrayList<>();
                ArrayList<Double> avRecv = new ArrayList<>();
                ArrayList<Double> avIndExpl = new ArrayList<>();

                String[] data = null;
                while (sc.hasNext()) {
                    String line = sc.nextLine();
                    //System.out.println("line:" + line);
                    data = line.split(",");
                    agentsCorrect = Integer.valueOf(data[0]);
                    //agentsIncorrect = Integer.valueOf(data[1]); // not used
                    worldSize = Integer.valueOf(data[3]);
                    averageExplored = Double.valueOf(data[4]);
                    // data[3] stdavgExplored - not used
                    bestRoundNumber = Integer.valueOf(data[6]);
                    avgSend = Double.valueOf(data[7]);
                    avgRecv = Double.valueOf(data[8]);
                    avgdataExplInd = Double.valueOf(data[11]);

                    //Add Data and generate statistics 
                    acSt.add((double) agentsCorrect);
                    avgExp.add(averageExplored);

                    avSnd.add(avgSend);
                    avRecv.add(avgRecv);
                    avIndExpl.add(avgdataExplInd);

                    list.add(new Double(averageExplored / (double) worldSize * 100));
                }
                LOGGER.debug("Adding series " + i);
                LOGGER.debug(list.toString());
                if (Pf.contains(pf)) {
                    /*pf == 1.0E-4 || pf == 3.0E-4*/
                    if (Pf.size() == 1) {
                        dataset.add(list, popsize, getTechniqueName(mode));
                    } else {
                        dataset.add(list, String.valueOf(popsize) + "-" + pf, getTechniqueName(mode));
                    }
                }
            }
        }

    }

    /*for (int i = 0; i < seriesCount; i++) {
     for (int j = 0; j < categoryCount; j++) {
     final List list = new ArrayList();
     // add some values...
     for (int k = 0; k < entityCount; k++) {
     final double value1 = 10.0 + Math.random() * 3;
     list.add(new Double(value1));
     final double value2 = 11.25 + Math.random(); // concentrate values in the middle
     list.add(new Double(value2));
     }
     LOGGER.debug("Adding series " + i);
     LOGGER.debug(list.toString());
     dataset.add(list, "Series " + i, " Type " + j);
     }
            
     }*/
    return dataset;
}

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From source file:unalcol.termites.boxplots.HybridRoundNumberReport.java

/**
 * Creates a sample dataset./*from  w  w w.  java2 s  . c  om*/
 *
 * @return A sample dataset.
 */
private BoxAndWhiskerCategoryDataset createSampleDataset(ArrayList<Double> Pf) {

    final int seriesCount = 5;
    final int categoryCount = 4;
    final int entityCount = 22;
    String sDirectorio = ".\\experiments\\2015-10-07-Hybrid\\hybridres";

    File f = new File(sDirectorio);
    String extension;
    File[] files = f.listFiles();
    Hashtable<String, String> Pop = new Hashtable<>();
    PrintWriter escribir;
    Scanner sc = null;
    ArrayList<Integer> aPops = new ArrayList<>();
    ArrayList<Double> aPf = new ArrayList<>();
    ArrayList<String> aTech = new ArrayList<>();

    final DefaultBoxAndWhiskerCategoryDataset dataset = new DefaultBoxAndWhiskerCategoryDataset();

    for (File file : files) {
        extension = "";
        int i = file.getName().lastIndexOf('.');
        int p = Math.max(file.getName().lastIndexOf('/'), file.getName().lastIndexOf('\\'));
        if (i > p) {
            extension = file.getName().substring(i + 1);
        }

        // System.out.println(file.getName() + "extension" + extension);
        if (file.isFile() && extension.equals("csv") && file.getName().startsWith("experiment")) {
            System.out.println(file.getName());
            System.out.println("get: " + file.getName());
            String[] filenamep = file.getName().split(Pattern.quote("+"));

            System.out.println("file" + filenamep[8]);

            int popsize = Integer.valueOf(filenamep[2]);
            double pf = Double.valueOf(filenamep[4]);
            String mode = filenamep[6];

            int maxIter = -1;
            //if (!filenamep[8].isEmpty()) {
            maxIter = Integer.valueOf(filenamep[8]);
            //}
            int n = 0;
            int rho = 0;
            double evapRate = 0.0;
            //14, 16, 16
            if (mode.equals("hybrid")) {
                n = Integer.valueOf(filenamep[14]);
                rho = Integer.valueOf(filenamep[16]);
                String[] tmp = filenamep[18].split(Pattern.quote("."));

                System.out.println("history size:" + n);
                System.out.println("rho:" + rho);
                String sEvap = tmp[0] + "." + tmp[1];
                evapRate = Double.valueOf(sEvap);
            }

            System.out.println("psize:" + popsize);
            System.out.println("pf:" + pf);
            System.out.println("mode:" + mode);
            System.out.println("maxIter:" + maxIter);
            System.out.println("evap:" + evapRate);
            String[] aMode = { "hybrid", "lwphevap" };

            if (isInMode(aMode, mode)) {
                final List list = new ArrayList();
                try {
                    sc = new Scanner(file);

                } catch (FileNotFoundException ex) {
                    Logger.getLogger(DataCollectedLatexConsolidatorSASOMessagesSend1.class.getName())
                            .log(Level.SEVERE, null, ex);
                }
                int agentsCorrect = 0;
                int worldSize = 0;
                double averageExplored = 0.0;
                int bestRoundNumber = 0;
                double avgSend = 0;
                double avgRecv = 0;
                double avgdataExplInd = 0;
                ArrayList<Double> acSt = new ArrayList<>();
                ArrayList<Double> avgExp = new ArrayList<>();
                ArrayList<Double> bestR = new ArrayList<>();
                ArrayList<Double> avSnd = new ArrayList<>();
                ArrayList<Double> avRecv = new ArrayList<>();
                ArrayList<Double> avIndExpl = new ArrayList<>();

                String[] data = null;
                while (sc.hasNext()) {
                    String line = sc.nextLine();
                    //System.out.println("line:" + line);
                    data = line.split(",");
                    agentsCorrect = Integer.valueOf(data[0]);
                    //agentsIncorrect = Integer.valueOf(data[1]); // not used
                    worldSize = Integer.valueOf(data[3]);
                    averageExplored = Double.valueOf(data[4]);
                    // data[3] stdavgExplored - not used
                    bestRoundNumber = Integer.valueOf(data[6]);
                    avgSend = Double.valueOf(data[7]);
                    avgRecv = Double.valueOf(data[8]);
                    avgdataExplInd = Double.valueOf(data[11]);

                    //Add Data and generate statistics 
                    acSt.add((double) agentsCorrect);
                    avgExp.add(averageExplored);

                    avSnd.add(avgSend);
                    avRecv.add(avgRecv);
                    avIndExpl.add(avgdataExplInd);
                    if (bestRoundNumber != 0 && bestRoundNumber != -1) {
                        list.add(new Double(bestRoundNumber));
                    }
                }
                LOGGER.debug("Adding series " + i);
                LOGGER.debug(list.toString());
                if (Pf.contains(pf)) {
                    /*pf == 1.0E-4 || pf == 3.0E-4*/
                    if (Pf.size() == 1) {
                        if (mode.equals("hybrid")) {
                            dataset.add(list, popsize,
                                    /*getTechniqueName(mode) + */ rho + "-" + evapRate + "-" + n);
                        } else {
                            dataset.add(list, popsize, getTechniqueName(mode));
                        }
                    } else {
                        if (mode.equals("hybrid")) {
                            dataset.add(list, String.valueOf(popsize) + "-" + pf,
                                    /*getTechniqueName(mode) +*/ rho + "-" + evapRate + "-" + n);
                        } else {
                            dataset.add(list, String.valueOf(popsize) + "-" + pf, getTechniqueName(mode));
                        }
                    }
                }
            }
        }

    }

    /*for (int i = 0; i < seriesCount; i++) {
     for (int j = 0; j < categoryCount; j++) {
     final List list = new ArrayList();
     // add some values...
     for (int k = 0; k < entityCount; k++) {
     final double value1 = 10.0 + Math.random() * 3;
     list.add(new Double(value1));
     final double value2 = 11.25 + Math.random(); // concentrate values in the middle
     list.add(new Double(value2));
     }
     LOGGER.debug("Adding series " + i);
     LOGGER.debug(list.toString());
     dataset.add(list, "Series " + i, " Type " + j);
     }
            
     }*/
    return dataset;
}

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From source file:de.thorstenberger.taskmodel.view.statistics.graph.BoxScoresDatasetProducer.java

public Object produceDataset(Map params) throws DatasetProduceException {
    DefaultBoxAndWhiskerCategoryDataset dataset = new DefaultBoxAndWhiskerCategoryDataset();
    dataset.add(mc, "MC", "MC");
    dataset.add(cloze, "Lckentext", "Lckentext");
    dataset.add(mapping, "Zuordnung", "Zuordnung");
    dataset.add(text, "Freitext", "Freitext");
    return dataset;

}

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From source file:unalcol.termites.boxplots.RoundNumber1.java

/**
 * Creates a sample dataset./*www.j a  va2  s.  c o  m*/
 *
 * @return A sample dataset.
 */
private BoxAndWhiskerCategoryDataset createSampleDataset(ArrayList<Double> Pf) {

    String sDirectorio = experimentsDir;
    File f = new File(sDirectorio);
    String extension;
    File[] files = f.listFiles();
    Hashtable<String, String> Pop = new Hashtable<>();
    PrintWriter escribir;
    Scanner sc = null;
    ArrayList<Integer> aPops = new ArrayList<>();
    ArrayList<Double> aPf = new ArrayList<>();
    ArrayList<String> aTech = new ArrayList<>();

    final DefaultBoxAndWhiskerCategoryDataset dataset = new DefaultBoxAndWhiskerCategoryDataset();

    for (File file : files) {
        extension = "";
        int i = file.getName().lastIndexOf('.');
        int p = Math.max(file.getName().lastIndexOf('/'), file.getName().lastIndexOf('\\'));
        if (i > p) {
            extension = file.getName().substring(i + 1);
        }

        // System.out.println(file.getName() + "extension" + extension);
        if (file.isFile() && extension.equals("csv") && file.getName().startsWith("experiment")
                && file.getName().contains(mazeMode)) {
            System.out.println(file.getName());
            System.out.println("get: " + file.getName());
            String[] filenamep = file.getName().split(Pattern.quote("+"));

            System.out.println("file" + filenamep[8]);

            int popsize = Integer.valueOf(filenamep[2]);
            double pf = Double.valueOf(filenamep[4]);
            String mode = filenamep[6];

            int maxIter = -1;
            //if (!filenamep[8].isEmpty()) {
            maxIter = Integer.valueOf(filenamep[8]);
            //}

            System.out.println("psize:" + popsize);
            System.out.println("pf:" + pf);
            System.out.println("mode:" + mode);
            System.out.println("maxIter:" + maxIter);

            //String[] aMode = {"random", "levywalk", "sandc", "sandclw"};
            //String[] aMode = {"levywalk", "lwphevap", "hybrid", "hybrid3", "hybrid4", "sequential"};
            if (/*Pf == pf && */isInMode(aMode, mode)) {
                final List list = new ArrayList();
                try {
                    sc = new Scanner(file);

                } catch (FileNotFoundException ex) {
                    Logger.getLogger(DataCollectedLatexConsolidatorSASOMessagesSend1.class.getName())
                            .log(Level.SEVERE, null, ex);
                }
                int agentsCorrect = 0;
                int worldSize = 0;
                double averageExplored = 0.0;
                int bestRoundNumber = 0;
                double avgSend = 0;
                double avgRecv = 0;
                double avgdataExplInd = 0;
                ArrayList<Double> acSt = new ArrayList<>();
                ArrayList<Double> avgExp = new ArrayList<>();
                ArrayList<Double> bestR = new ArrayList<>();
                ArrayList<Double> avSnd = new ArrayList<>();
                ArrayList<Double> avRecv = new ArrayList<>();
                ArrayList<Double> avIndExpl = new ArrayList<>();

                String[] data = null;
                while (sc.hasNext()) {
                    String line = sc.nextLine();
                    //System.out.println("line:" + line);
                    data = line.split(",");
                    agentsCorrect = Integer.valueOf(data[0]);
                    //agentsIncorrect = Integer.valueOf(data[1]); // not used
                    worldSize = Integer.valueOf(data[3]);
                    averageExplored = Double.valueOf(data[4]);
                    // data[3] stdavgExplored - not used
                    bestRoundNumber = Integer.valueOf(data[6]);
                    avgSend = Double.valueOf(data[7]);
                    avgRecv = Double.valueOf(data[8]);
                    avgdataExplInd = Double.valueOf(data[11]);

                    //Add Data and generate statistics 
                    acSt.add((double) agentsCorrect);
                    avgExp.add(averageExplored);

                    avSnd.add(avgSend);
                    avRecv.add(avgRecv);
                    avIndExpl.add(avgdataExplInd);
                    if (bestRoundNumber != 0 && bestRoundNumber != -1) {
                        list.add(new Double(bestRoundNumber));
                    }
                }
                LOGGER.debug("Adding series " + i);
                LOGGER.debug(list.toString());
                if (Pf.contains(pf)) {
                    /*pf == 1.0E-4 || pf == 3.0E-4*/
                    if (Pf.size() == 1) {
                        dataset.add(list, popsize, getTechniqueName(mode));
                    } else {
                        dataset.add(list, String.valueOf(popsize) + "-" + pf, getTechniqueName(mode));
                    }
                }
            }
        }

    }

    /*for (int i = 0; i < seriesCount; i++) {
     for (int j = 0; j < categoryCount; j++) {
     final List list = new ArrayList();
     // add some values...
     for (int k = 0; k < entityCount; k++) {
     final double value1 = 10.0 + Math.random() * 3;
     list.add(new Double(value1));
     final double value2 = 11.25 + Math.random(); // concentrate values in the middle
     list.add(new Double(value2));
     }
     LOGGER.debug("Adding series " + i);
     LOGGER.debug(list.toString());
     dataset.add(list, "Series " + i, " Type " + j);
     }
            
     }*/
    return dataset;
}

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