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

Introduction

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

Prototype

public double getStandardDeviation() 

Source Link

Document

Returns the standard deviation of the available values.

Usage

From source file:net.adamjak.thomas.graph.application.commons.StatisticsUtils.java

public static double getConfidenceInterval(DescriptiveStatistics inputStatistics, NormCritical uAlpha)
        throws IllegalArgumentException {
    if (inputStatistics == null || uAlpha == null)
        throw new IllegalArgumentException("Params inputStatistics or uAlpha can not be null!");

    return (inputStatistics.getStandardDeviation() * uAlpha.getCriticalValue())
            / Math.sqrt(inputStatistics.getValues().length);
}

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From source file:knop.psfj.utils.MathUtils.java

/**
 * Format statistics./*from w w  w  .  j  a v a  2  s .  c  o  m*/
 *
 * @param stats the stats
 * @param unit the unit
 * @return the string
 */
public static String formatStatistics(DescriptiveStatistics stats, String unit) {
    String value = MathUtils.formatDouble(stats.getMean(), unit);
    System.out.println("number after dot : " + getNumberAfterDot(value));
    String variation = MathUtils.formatDouble(stats.getStandardDeviation(), unit, getNumberAfterDot(value));

    return String.format("%s %s %s", value, PLUS_MINUS, variation);
}

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From source file:cc.kave.commons.pointsto.evaluation.runners.ProjectStoreRunner.java

private static void countUsages(Collection<ICoReTypeName> types, ProjectUsageStore store) throws IOException {
    int totalNumberOfProjects = store.getNumberOfProjects();

    for (ICoReTypeName type : types) {
        int numProjects = store.getProjects(type).size();
        if (numProjects < 10) {
            continue;
        }//from   w w  w . ja  va 2  s. c o  m

        Map<ProjectIdentifier, Integer> usageCounts = store.getNumberOfUsagesPerProject(type);
        DescriptiveStatistics statistics = new DescriptiveStatistics();
        usageCounts.values().forEach(count -> statistics.addValue(count));
        for (int i = 0; i < totalNumberOfProjects - numProjects; ++i) {
            statistics.addValue(0);
        }

        System.out.printf(Locale.US, "%s: %.1f\n", CoReNames.vm2srcQualifiedType(type),
                statistics.getStandardDeviation());
    }
}

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From source file:com.spotify.annoy.jni.base.Benchmark.java

private static void dispStats(List<Long> queryTime) {
    DescriptiveStatistics s = new DescriptiveStatistics();

    for (Long t : queryTime) {
        s.addValue(t);/*from  w  ww  .j a  va2  s.c  o  m*/
    }

    System.out.print(new StringBuilder().append(String.format("Total time:  %.5fs\n", s.getSum() / 1.e9))
            .append(String.format("Mean time:   %.5fs\n", s.getMean() / 1.e9))
            .append(String.format("Median time: %.5fs\n", s.getPercentile(.5) / 1.e9))
            .append(String.format("Stddev time: %.5fs\n", s.getStandardDeviation() / 1.e9))
            .append(String.format("Min time:    %.5fs\n", s.getMin() / 1.e9))
            .append(String.format("Max time:    %.5fs\n", s.getMax() / 1.e9)).toString());
}

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From source file:net.adamjak.thomas.graph.application.commons.StatisticsUtils.java

public static DescriptiveStatistics statisticsWithoutExtremes(DescriptiveStatistics inputStatistics,
        GrubbsLevel grubbsLevel) throws IllegalArgumentException {
    if (inputStatistics == null || grubbsLevel == null)
        throw new IllegalArgumentException("Params inputStatistics and grubbsLevel can not be null.");

    int countInput = inputStatistics.getValues().length;
    Double avgInput = inputStatistics.getMean();
    Double stdInput = inputStatistics.getStandardDeviation();
    Double s = stdInput * Math.sqrt((countInput - 1.0) / countInput);
    Double criticalValue = grubbsLevel.getCriticalValue(countInput);

    DescriptiveStatistics outputStatistic = new DescriptiveStatistics();

    for (double inpVal : inputStatistics.getValues()) {
        double test = Math.abs(inpVal - avgInput) / s;

        if (test <= criticalValue) {
            outputStatistic.addValue(inpVal);
        }//from  w  w  w.  java 2 s.com
    }

    return outputStatistic;
}

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From source file:io.hops.experiments.stats.TransactionStatsAggregator.java

public static Map<String, DescriptiveStatistics> aggregate(File statsFile, String headerPattern,
        String transaction, boolean printSummary) throws IOException {
    if (!statsFile.exists())
        return null;

    transaction = transaction.toUpperCase();

    BufferedReader reader = new BufferedReader(new FileReader(statsFile));
    String tx = reader.readLine();
    String[] headers = null;//from  w ww  .j ava2s.  c o m
    Map<Integer, DescriptiveStatistics> statistics = Maps.newHashMap();
    if (tx != null) {
        headers = tx.split(",");
        for (int i = 1; i < headers.length; i++) {
            String h = headers[i].toUpperCase();
            if (h.contains(headerPattern) || headerPattern.equals(ALL)) {
                statistics.put(i, new DescriptiveStatistics());
            }
        }
    }

    int txCount = 0;
    while ((tx = reader.readLine()) != null) {
        if (tx.startsWith(transaction) || transaction.equals(ALL)) {
            txCount++;
            String[] txStats = tx.split(",");
            if (txStats.length == headers.length) {
                for (Map.Entry<Integer, DescriptiveStatistics> e : statistics.entrySet()) {
                    e.getValue().addValue(Double.valueOf(txStats[e.getKey()]));
                }
            }
        }
    }

    reader.close();

    if (headers == null)
        return null;

    if (printSummary) {
        System.out.println("Transaction: " + transaction + " " + txCount);

        List<Integer> keys = new ArrayList<Integer>(statistics.keySet());
        Collections.sort(keys);

        for (Integer i : keys) {
            DescriptiveStatistics stats = statistics.get(i);
            if (stats.getMin() == 0 && stats.getMax() == 0) {
                continue;
            }
            System.out.println(headers[i]);
            System.out.println("Min " + stats.getMin() + " Max " + stats.getMax() + " Avg " + stats.getMean()
                    + " Std " + stats.getStandardDeviation());
        }
    }

    Map<String, DescriptiveStatistics> annotatedStats = Maps.newHashMap();
    for (Map.Entry<Integer, DescriptiveStatistics> e : statistics.entrySet()) {
        annotatedStats.put(headers[e.getKey()].trim(), e.getValue());
    }
    return annotatedStats;
}

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From source file:main.java.metric.Metric.java

public static double getCVServerData(Cluster cluster) {
    DescriptiveStatistics server_data = new DescriptiveStatistics();

    for (Server server : cluster.getServers())
        server_data.addValue(server.getServer_total_data());

    double c_v = server_data.getStandardDeviation() / server_data.getMean();
    return c_v;//www  .jav a2  s. co m
}

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From source file:com.intuit.tank.vm.common.util.ReportUtil.java

public static final String[] getSummaryData(String key, DescriptiveStatistics stats) {
    String[] ret = new String[ReportUtil.SUMMARY_HEADERS.length + PERCENTILES.length];
    int i = 0;//from w  ww.j  a v  a  2 s  .  com
    ret[i++] = key;// Page ID
    ret[i++] = INT_NF.format(stats.getN());// Sample Size
    ret[i++] = DOUBLE_NF.format(stats.getMean());// Mean
    ret[i++] = INT_NF.format(stats.getPercentile(50));// Meadian
    ret[i++] = INT_NF.format(stats.getMin());// Min
    ret[i++] = INT_NF.format(stats.getMax());// Max
    ret[i++] = DOUBLE_NF.format(stats.getStandardDeviation());// Std Dev
    ret[i++] = DOUBLE_NF.format(stats.getKurtosis());// Kurtosis
    ret[i++] = DOUBLE_NF.format(stats.getSkewness());// Skewness
    ret[i++] = DOUBLE_NF.format(stats.getVariance());// Varience
    for (int n = 0; n < PERCENTILES.length; n++) {
        ret[i++] = INT_NF.format(stats.getPercentile((Integer) PERCENTILES[n][1]));// Percentiles
    }
    return ret;
}

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From source file:de.uniulm.omi.cloudiator.axe.aggregator.utils.Calc.java

public static Double STD(List<Double> values) {
    DescriptiveStatistics ds = transform(values);

    return ds.getStandardDeviation();
}

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From source file:main.java.metric.Metric.java

public static double getCVServerData(Cluster cluster, Transaction tr) {
    DescriptiveStatistics server_data = new DescriptiveStatistics();

    for (Entry<Integer, HashSet<Integer>> entry : tr.getTr_serverSet().entrySet()) {
        server_data.addValue(entry.getValue().size());
    }//from  w w  w . ja va  2  s  .  c om

    double c_v = server_data.getStandardDeviation() / server_data.getMean();
    return c_v;
}

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