Example usage for org.apache.commons.math.stat.descriptive SummaryStatistics SummaryStatistics

Introduction

In this page you can find the example usage for org.apache.commons.math.stat.descriptive SummaryStatistics SummaryStatistics.

Prototype

public SummaryStatistics() 

Source Link

Document

Construct a SummaryStatistics instance

Usage

From source file:com.userweave.module.methoden.rrt.page.report.MeanAndStdDeviation.java

public MeanAndStdDeviation(List<Double> values) {
    SummaryStatistics stats = new SummaryStatistics();
    for (Double value : values) {
        stats.addValue(value);/*from   www  .  ja v  a 2s. c  om*/
    }

    this.mean = stats.getMean();
    this.stdDeviation = stats.getStandardDeviation();
}

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From source file:com.griddynamics.jagger.util.statistics.StatisticsCalculator.java

public StatisticsCalculator() {
    summaryStatistics = new SummaryStatistics();
    percentilesProcessor = new PercentilesProcessor();
}

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From source file:hmp.Read.java

private void addToHash(HashMap<String, SummaryStatistics> hash, String key, double value) {
    if (hash.containsKey(key)) {
        SummaryStatistics stat = hash.get(key);
        stat.addValue(value);//from   w w w  .  j  av a2  s .  co  m
    } else {
        SummaryStatistics stat = new SummaryStatistics();
        stat.addValue(value);
        hash.put(key, stat);
    }
}

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From source file:de.tudarmstadt.ukp.dkpro.core.decompounding.ranking.FrequencyGeometricMeanRanker.java

/**
 * Calculates the weight for a split/*w  w  w  .jav  a  2 s  .  c om*/
 */
private double calcRank(DecompoundedWord aSplit) {
    SummaryStatistics stats = new SummaryStatistics();
    for (Fragment elem : aSplit.getSplits()) {
        stats.addValue(freq(elem).doubleValue());
    }
    return stats.getGeometricMean();
}

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From source file:com.netflix.curator.x.discovery.TestStrategies.java

@Test
public void testRandom() throws Exception {
    final int QTY = 10;
    final int ITERATIONS = 1000;

    TestInstanceProvider instanceProvider = new TestInstanceProvider(QTY, 0);
    ProviderStrategy<Void> strategy = new RandomStrategy<Void>();

    long[] counts = new long[QTY];
    for (int i = 0; i < ITERATIONS; ++i) {
        ServiceInstance<Void> instance = strategy.getInstance(instanceProvider);
        int id = Integer.parseInt(instance.getId());
        counts[id]++;//from  www.j a v  a2s.  co m
    }

    SummaryStatistics statistic = new SummaryStatistics();
    for (int i = 0; i < QTY; ++i) {
        statistic.addValue(counts[i]);
    }
    Assert.assertTrue(statistic.getStandardDeviation() <= (QTY * 2), "" + statistic.getStandardDeviation()); // meager check for even distribution
}

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From source file:boa.aggregators.VarianceAggregator.java

/** {@inheritDoc} */
@Override//  w  w  w  . ja  v a2s .  co  m
public void finish() throws IOException, InterruptedException {
    if (this.isCombining()) {
        String s = "";
        for (final Long key : map.keySet())
            s += key + ":" + map.get(key) + ";";
        this.collect(s, null);
        return;
    }

    final SummaryStatistics summaryStatistics = new SummaryStatistics();

    for (final Long key : map.keySet()) {
        final long count = map.get(key);
        for (long i = 0; i < count; i++)
            summaryStatistics.addValue(key);
    }

    this.collect(summaryStatistics.getVariance());
}

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From source file:boa.aggregators.StDevAggregator.java

/** {@inheritDoc} */
@Override/* w  w w  . j  a v a 2 s  .co m*/
public void finish() throws IOException, InterruptedException {
    if (this.isCombining()) {
        String s = "";
        for (final Long key : map.keySet())
            s += key + ":" + map.get(key) + ";";
        this.collect(s, null);
        return;
    }

    final SummaryStatistics summaryStatistics = new SummaryStatistics();

    for (final Long key : map.keySet()) {
        final long count = map.get(key);
        for (long i = 0; i < count; i++)
            summaryStatistics.addValue(key);
    }

    this.collect(summaryStatistics.getStandardDeviation());
}

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From source file:geogebra.kernel.AlgoNormalQuantilePlot.java

private GeoSegment getQQLineSegment() {

    SummaryStatistics stats = new SummaryStatistics();
    for (int i = 0; i < sortedData.length; i++) {
        stats.addValue(sortedData[i]);/* ww  w  . j a  v a  2  s  .  co m*/
    }
    double sd = stats.getStandardDeviation();
    double mean = stats.getMean();
    double min = stats.getMin();
    double max = stats.getMax();

    // qq line: y = (1/sd)x - mean/sd 

    GeoPoint startPoint = new GeoPoint(cons);
    startPoint.setCoords(min, (min / sd) - mean / sd, 1.0);
    GeoPoint endPoint = new GeoPoint(cons);
    endPoint.setCoords(max, (max / sd) - mean / sd, 1.0);
    GeoSegment seg = new GeoSegment(cons, startPoint, endPoint);
    seg.calcLength();

    return seg;
}

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From source file:de.escidoc.core.om.performance.Statistics.java

/**
 * @param key the name of package.class.method
 * @return the Statistics of the method//from ww w .j a v  a2s  .c  o m
 */
private SummaryStatistics getStatistics(final String key) {
    SummaryStatistics statistics = statisticsMap.get(key);
    if (statistics == null || statistics.getN() >= (long) this.maxValues) {
        statistics = new SummaryStatistics();
        statisticsMap.put(key, statistics);
    }
    return statistics;
}

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From source file:com.netflix.curator.framework.recipes.queue.TestQueueSharder.java

@Test
public void testDistribution() throws Exception {
    final int threshold = 100;
    final int factor = 10;

    Timing timing = new Timing();
    CuratorFramework client = CuratorFrameworkFactory.newClient(server.getConnectString(), timing.session(),
            timing.connection(), new RetryOneTime(1));
    QueueSharder<String, DistributedQueue<String>> sharder = null;
    try {/*from   w w w .j ava 2  s .com*/
        client.start();

        final CountDownLatch latch = new CountDownLatch(1);
        QueueConsumer<String> consumer = new QueueConsumer<String>() {
            @Override
            public void consumeMessage(String message) throws Exception {
                latch.await();
            }

            @Override
            public void stateChanged(CuratorFramework client, ConnectionState newState) {
            }
        };
        QueueAllocator<String, DistributedQueue<String>> distributedQueueAllocator = makeAllocator(consumer);
        QueueSharderPolicies policies = QueueSharderPolicies.builder().newQueueThreshold(threshold)
                .thresholdCheckMs(1).build();
        sharder = new QueueSharder<String, DistributedQueue<String>>(client, distributedQueueAllocator,
                "/queues", "/leader", policies);
        sharder.start();

        for (int i = 0; i < (factor * threshold); ++i) {
            sharder.getQueue().put(Integer.toString(i));
            Thread.sleep(5);
        }
        timing.forWaiting().sleepABit();

        SummaryStatistics statistics = new SummaryStatistics();
        for (String path : sharder.getQueuePaths()) {
            int numChildren = client.checkExists().forPath(path).getNumChildren();
            Assert.assertTrue(numChildren > 0);
            Assert.assertTrue(numChildren >= (threshold * .1));
            statistics.addValue(numChildren);
        }
        latch.countDown();

        Assert.assertTrue(statistics.getMean() >= (threshold * .9));
    } finally {
        timing.sleepABit(); // let queue clear
        Closeables.closeQuietly(sharder);
        Closeables.closeQuietly(client);
    }
}

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