Example usage for org.apache.commons.math3.stat.descriptive DescriptiveStatistics getMax

Introduction

In this page you can find the example usage for org.apache.commons.math3.stat.descriptive DescriptiveStatistics getMax.

Prototype

public double getMax() 

Source Link

Document

Returns the maximum of the available values

Usage

From source file:org.wso2.carbon.ml.database.internal.MLDatabaseService.java

/**
 * Create the JSON string with summary statistics for a column.
 *
 * @param type Data-type of the column/*from   w  w w.  j ava 2s  .c o m*/
 * @param graphFrequencies Bin frequencies of the column
 * @param missing Number of missing values in the column
 * @param unique Number of unique values in the column
 * @param descriptiveStats DescriptiveStats object of the column
 * @return JSON representation of the summary statistics of the column
 */
private JSONArray createJson(String type, SortedMap<?, Integer> graphFrequencies, int missing, int unique,
        DescriptiveStatistics descriptiveStats) throws JSONException {

    JSONObject json = new JSONObject();
    JSONArray freqs = new JSONArray();
    Object[] categoryNames = graphFrequencies.keySet().toArray();
    // Create an array with intervals/categories and their frequencies.
    for (int i = 0; i < graphFrequencies.size(); i++) {
        JSONArray temp = new JSONArray();
        temp.put(categoryNames[i].toString());
        temp.put(graphFrequencies.get(categoryNames[i]));
        freqs.put(temp);
    }
    // Put the statistics to a json object
    json.put("unique", unique);
    json.put("missing", missing);

    DecimalFormat decimalFormat = new DecimalFormat("#.###");
    if (descriptiveStats.getN() != 0) {
        json.put("mean", decimalFormat.format(descriptiveStats.getMean()));
        json.put("min", decimalFormat.format(descriptiveStats.getMin()));
        json.put("max", decimalFormat.format(descriptiveStats.getMax()));
        json.put("median", decimalFormat.format(descriptiveStats.getPercentile(50)));
        json.put("std", decimalFormat.format(descriptiveStats.getStandardDeviation()));
        if (type.equalsIgnoreCase(FeatureType.NUMERICAL)) {
            json.put("skewness", decimalFormat.format(descriptiveStats.getSkewness()));
        }
    }
    json.put("values", freqs);
    json.put("bar", true);
    json.put("key", "Frequency");
    JSONArray summaryStatArray = new JSONArray();
    summaryStatArray.put(json);
    return summaryStatArray;
}

---

From source file:performancestatisticsasset.DistributionSet.java

public void setDistributionSet(String targetGroup, String targetTask, String targetMeasure,
        RecordList dataSet) {/*from   w  w  w  . j  a  v a  2 s . c om*/
    //Determine the number of trials selected by group and by task
    int trials = 0;
    int len = dataSet.records.size();
    for (int i = 0; i < len; i++) {
        if (dataSet.records.get(i).getTrialNumber() > trials)
            trials = dataSet.records.get(i).getTrialNumber();
    }

    Distribution tempDist;
    DescriptiveStatistics tempStat;
    //For each trial of the set do
    for (int i = 0; i < trials; i++) {
        tempDist = new Distribution();
        tempStat = new DescriptiveStatistics();
        //Select data
        for (int j = 0; j < len; j++) {
            //If the current record is of the correct trial
            if ((dataSet.records.get(j).getTrialNumber() == i + 1)
                    && (targetGroup.equals(dataSet.records.get(j).getGroupID()))
                    && (targetTask.equals(dataSet.records.get(j).getTaskID()))) {
                //Fill distribution
                switch (targetMeasure) {
                case "time":
                    tempStat.addValue(dataSet.records.get(j).getTimeToComplete());
                    break;
                case "perf":
                    tempStat.addValue(dataSet.records.get(j).getPerformance());
                    break;
                }
            }
        }
        //Transfer the computed statistics to tempDist
        tempDist.max = tempStat.getMax();
        tempDist.min = tempStat.getMin();
        tempDist.sum = tempStat.getSum();
        tempDist.variance = tempStat.getVariance();
        tempDist.mean = tempStat.getMean();
        tempDist.stdDev = tempStat.getStandardDeviation();
        tempDist.skewness = tempStat.getSkewness();
        tempDist.kurtosis = tempStat.getKurtosis();
        tempDist.n = tempStat.getN();

        //Add tempDist to distributionSet
        distributionSet.add(tempDist);
    }
}

---

From source file:performancestatisticsasset.DistributionSet.java

public void setDistributionSet(String targetTask, String targetMeasure, RecordList dataSet) {
    //Determine the number of trials selected by task
    int trials = 0;
    int len = dataSet.records.size();
    for (int i = 0; i < len; i++) {
        if (dataSet.records.get(i).getTrialNumber() > trials)
            trials = dataSet.records.get(i).getTrialNumber();
    }// w ww .j  a va  2s.  com

    Distribution tempDist;
    DescriptiveStatistics tempStat;
    //For each trial of the set do
    for (int i = 0; i < trials; i++) {
        tempDist = new Distribution();
        tempStat = new DescriptiveStatistics();
        //Select data
        for (int j = 0; j < len; j++) {
            //If the current record is of the correct trial
            if ((dataSet.records.get(j).getTrialNumber() == i + 1)
                    && (targetTask.equals(dataSet.records.get(j).getTaskID()))) {
                //Fill distribution
                switch (targetMeasure) {
                case "time":
                    tempStat.addValue(dataSet.records.get(j).getTimeToComplete());
                    break;
                case "perf":
                    tempStat.addValue(dataSet.records.get(j).getPerformance());
                    break;
                }
            }
        }
        //Transfer the computed statistics to tempDist
        tempDist.max = tempStat.getMax();
        tempDist.min = tempStat.getMin();
        tempDist.sum = tempStat.getSum();
        tempDist.variance = tempStat.getVariance();
        tempDist.mean = tempStat.getMean();
        tempDist.stdDev = tempStat.getStandardDeviation();
        tempDist.skewness = tempStat.getSkewness();
        tempDist.kurtosis = tempStat.getKurtosis();
        tempDist.n = tempStat.getN();

        //Add tempDist to distributionSet
        distributionSet.add(tempDist);
    }
}

---

From source file:Pooling.collectStatsTime.java

public static void main(String[] args) throws IOException {
    /*         int maxN = 1000;
             double[] prob = {0.25,0.5,0.75,1.00};
             int[] maxPoolSize = {35};//from   w w  w  .  ja  v  a 2 s .  c o  m
             int nTests = 50;
                     
             String folder = "randGraphsSimRes";
             for (int t = 0; t < maxPoolSize.length; t++)
             {
     FileWriter fw = new FileWriter(folder + File.separator + "statsDesignTime" + maxPoolSize[t] + ".txt");
     for (int n = 10; n <= maxN; n+=10)
     {
         DescriptiveStatistics stats = new DescriptiveStatistics();
         for (int i = 1; i <= nTests; i++)
         {
             String resfile = "testResults_" + n + "_" + maxPoolSize[t] + "_" + i + ".txt";
             BufferedReader br = new BufferedReader(new FileReader(folder + File.separator + resfile));
             System.out.println(resfile);
             String s = br.readLine();
             StringTokenizer st = new StringTokenizer(s," ");
             st.nextToken();
             int k = Integer.parseInt(st.nextToken());
             stats.addValue(((double)k)/1000);
         }
         fw.write(n + " " + stats.getMean() + " " + (stats.getStandardDeviation()/Math.sqrt(nTests)) +  "\n");
     }
     fw.close();
             } */

    int[] ns = { 10, 20, 30, 40, 50, 60, 70, 80, 90, 100, 110, 120, 130, 140, 150 };
    int[] maxPoolSizes = { 15, 25, 35 };
    int nTests = 10;
    for (int sz = 0; sz < maxPoolSizes.length; sz++) {
        FileWriter fw = new FileWriter("statisticsTime_" + maxPoolSizes[sz] + ".txt");
        for (int in = 0; in < ns.length; in++) {
            DescriptiveStatistics stats = new DescriptiveStatistics();
            for (int it = 0; it < nTests; it++) {
                String outdir = "Test_" + maxPoolSizes[sz] + "_" + ns[in] + "_" + it;
                String repFile = outdir + File.separator + "report.txt";
                System.out.println(outdir);
                BufferedReader br = new BufferedReader(new FileReader(repFile));
                String s = "";
                for (int i = 0; i < 6; i++)
                    s = br.readLine();
                StringTokenizer st = new StringTokenizer(s, ":");
                st.nextToken();
                double tm = Double.parseDouble(st.nextToken());
                stats.addValue(tm);
            }
            double maxtime = stats.getMax();
            DescriptiveStatistics stats1 = new DescriptiveStatistics();
            for (int i = 0; i < nTests; i++)
                if (stats.getElement(i) != maxtime)
                    stats1.addValue(stats.getElement(i));
            fw.write(ns[in] + " " + stats1.getMean() + " "
                    + (stats1.getStandardDeviation() / Math.sqrt((nTests - 1))) + "\n");
        }
        fw.close();
    }
}

---

From source file:sandbox.sfwatergit.peerinfluence.io.TXTWriter.java

public static void writeStatistics(TDoubleObjectHashMap<DescriptiveStatistics> statsMap, String xLab,
        String file) throws IOException {
    double[] keys = statsMap.keys();
    Arrays.sort(keys);/*w w  w .j a  va2 s  . co m*/

    BufferedWriter writer = new BufferedWriter(new FileWriter(file));

    writer.write(xLab);
    writer.write(TAB);
    writer.write("mean");
    writer.write(TAB);
    writer.write("median");
    writer.write(TAB);
    writer.write("min");
    writer.write(TAB);
    writer.write("max");
    writer.write(TAB);
    writer.write("n");
    writer.newLine();

    for (double key : keys) {
        DescriptiveStatistics stats = statsMap.get(key);

        writer.write(String.valueOf(key));
        writer.write(TAB);
        writer.write(String.valueOf(stats.getMean()));
        writer.write(TAB);
        writer.write(String.valueOf(stats.getPercentile(50)));
        writer.write(TAB);
        writer.write(String.valueOf(stats.getMin()));
        writer.write(TAB);
        writer.write(String.valueOf(stats.getMax()));
        writer.write(TAB);
        writer.write(String.valueOf(stats.getN()));
        writer.newLine();
    }

    writer.close();
}

---

From source file:tools.descartes.bungee.examples.ShowResponsetimeChart.java

/**
 * Starting point for the demonstration application.
 *
 * @param args  ignored./*  w  ww . j  av a 2s .com*/
 */
public static void main(final String[] args) {
    RunResult result = RunResult.read(new File(FileUtility.FILE_LOCATION,
            "measurement/141.21.72.21_500000_2014.04.01_15.41.14/result.runresult"));
    JFreeChart chart = ChartGenerator.responseTimeChart(result, 1);
    ChartGenerator.showChart(chart, "Graph");
    DescriptiveStatistics responseTimeStats = result.getResponseTimeStats();
    System.out.println("Max: " + responseTimeStats.getMax());
    //ChartPDFWriter.writeChartToPDF(chart, 800,300, new File("responseChart.pdf"));
}

---

From source file:tools.descartes.bungee.utils.DiffUtil.java

public static <T> Stats statisticsForDiffs(List<T> objects) {
    DescriptiveStatistics statistics = createDescriptiveStatistics(objects);

    Stats stats = new Stats();
    // Compute some statistics
    stats.mean = statistics.getMean();/*from w  ww  .j a va2s.  co  m*/
    stats.std = statistics.getStandardDeviation();
    stats.max = Math.max(statistics.getMax(), -statistics.getMin());
    return stats;
}

---

From source file:tools.descartes.bungee.utils.DiffUtil.java

public static <T> StatsPercentile statisticsForDiffs(List<T> objects, double percent) {
    // Get a DescriptiveStatistics instance
    DescriptiveStatistics statistics = new DescriptiveStatistics();
    // Add the data from the array
    for (T object : objects) {
        if (object instanceof Long) {
            statistics.addValue((Long) object);
        } else if (object instanceof Double) {
            statistics.addValue((Double) object);
        } else if (object instanceof AbstractResponse) {
            statistics.addValue(((AbstractResponse) object).getResponseTime());
        }/* w w  w .j  a  v  a2  s.  co  m*/
    }

    StatsPercentile stats = new StatsPercentile();
    // Compute some statistics
    stats.mean = statistics.getMean();
    stats.std = statistics.getStandardDeviation();
    stats.max = Math.max(statistics.getMax(), -statistics.getMin());
    stats.percent = percent;
    stats.percentile = statistics.getPercentile(percent);
    return stats;
}

---

From source file:uk.ac.soton.itinnovation.ecc.service.utils.ExplorerDemoData.java

public EccINTRATSummary getINTRATDistDataDiscrete(UUID attrID, ArrayList<Date> stamps) {
    EccINTRATSummary result = null;/*from   w w  w  .ja  v a 2s .  co m*/

    // Safety
    if (attrID != null && stamps != null) {
        EccAttributeInfo info = qosAttributesByID.get(attrID);
        EccINTRATSeries srcSeries = qosSeries.get(attrID);

        if (info != null && srcSeries != null) {
            // Copy source series data with just those timestamps
            ArrayList<EccMeasurement> targMeasures = new ArrayList<>();

            for (EccMeasurement srcM : srcSeries.getValues())
                for (Date targDate : stamps)
                    if (srcM.getTimestamp().equals(targDate))
                        targMeasures.add(new EccMeasurement(srcM));

            // If we've got any data, create a summary
            if (!targMeasures.isEmpty()) {
                DescriptiveStatistics ds = new DescriptiveStatistics();

                for (EccMeasurement m : targMeasures)
                    ds.addValue(Double.parseDouble(m.getValue()));

                result = new EccINTRATSummary(info, ds.getMin(), ds.getMean(), ds.getMax());
            }
        }
    }

    return result;
}

---

From source file:uk.ac.soton.itinnovation.ecc.service.utils.ExplorerDemoData.java

public EccINTRATSummary getQosSummary(UUID attrID) {
    EccINTRATSummary result = null;//w  w  w  .j  a v a  2s  . co m

    if (attrID != null) {
        // Find QoS series and calculate summary data
        EccINTRATSeries series = qosSeries.get(attrID);

        if (series != null) {
            DescriptiveStatistics ds = new DescriptiveStatistics();

            for (EccMeasurement m : series.getValues())
                ds.addValue(Double.parseDouble(m.getValue()));

            result = new EccINTRATSummary(qosAttributesByID.get(attrID), ds.getMin(), ds.getMean(),
                    ds.getMax());
        }
    }

    return result;
}

---

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