Example usage for org.apache.commons.math3.stat.descriptive SummaryStatistics getPopulationVariance

Introduction

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

Prototype

public double getPopulationVariance() 

Source Link

Document

Returns the <a href="http://en.wikibooks.org/wiki/Statistics/Summary/Variance"> population variance</a> of the values that have been added.

Usage

From source file:org.calrissian.accumulorecipes.metricsstore.ext.stats.impl.AccumuloStatsMetricStoreTest.java

@Test
public void testStatisticAccuracy() throws Exception {
    AccumuloStatsMetricStore metricStore = new AccumuloStatsMetricStore(getConnector());

    Random random = new Random();

    List<Long> sampleData = asList((long) random.nextInt(10000), (long) random.nextInt(10000),
            (long) random.nextInt(10000), (long) random.nextInt(10000), (long) random.nextInt(10000));

    //use commons math as a
    SummaryStatistics sumStats = new SummaryStatistics();
    for (long num : sampleData)
        sumStats.addValue(num);/*from   w  ww . j a  va2  s  . com*/

    final long timestamp = System.currentTimeMillis();
    Iterable<Metric> testData = transform(sampleData, new Function<Long, Metric>() {
        @Override
        public Metric apply(Long num) {
            return new Metric(timestamp, "group", "type", "name", "", num);
        }
    });

    metricStore.save(testData);

    List<Stats> stats = newArrayList(metricStore.queryStats(new Date(0), new Date(), "group", "type", "name",
            MetricTimeUnit.MINUTES, new Auths()));

    assertEquals(1, stats.size());
    Stats stat = stats.get(0);

    assertEquals(sumStats.getMin(), stat.getMin(), Double.MIN_NORMAL);
    assertEquals(sumStats.getMax(), stat.getMax(), Double.MIN_NORMAL);
    assertEquals(sumStats.getSum(), stat.getSum(), Double.MIN_NORMAL);
    assertEquals(sumStats.getN(), stat.getCount(), Double.MIN_NORMAL);
    assertEquals(sumStats.getMean(), stat.getMean(), Double.MIN_NORMAL);
    assertEquals(sumStats.getPopulationVariance(), stat.getVariance(), 0.00000001);
    assertEquals(sumStats.getVariance(), stat.getVariance(true), 0.00000001);
    assertEquals(sqrt(sumStats.getPopulationVariance()), stat.getStdDev(), 0.00000001);
    assertEquals(sumStats.getStandardDeviation(), stat.getStdDev(true), 0.00000001);
}

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From source file:org.eclipse.january.dataset.AbstractDataset.java

@Override
public Number variance(boolean isDatasetWholePopulation) {
    SummaryStatistics stats = getStatistics(false);

    return isDatasetWholePopulation ? stats.getPopulationVariance() : stats.getVariance();
}

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From source file:org.lightjason.agentspeak.action.buildin.math.statistic.EStatisticValue.java

/**
 * returns a statistic value/*from  ww  w  .  j a va2 s  . c  o m*/
 *
 * @param p_statistic statistic object
 * @return statistic value
 */
public final double value(final SummaryStatistics p_statistic) {
    switch (this) {
    case GEOMETRICMEAN:
        return p_statistic.getGeometricMean();

    case MAX:
        return p_statistic.getMax();

    case MIN:
        return p_statistic.getMin();

    case COUNT:
        return p_statistic.getN();

    case POPULATIONVARIANCE:
        return p_statistic.getPopulationVariance();

    case QUADRATICMEAN:
        return p_statistic.getQuadraticMean();

    case SECONDMOMENT:
        return p_statistic.getSecondMoment();

    case STANDARDDEVIATION:
        return p_statistic.getStandardDeviation();

    case SUM:
        return p_statistic.getSum();

    case SUMLOG:
        return p_statistic.getSumOfLogs();

    case SUMSQUARE:
        return p_statistic.getSumsq();

    case VARIANCE:
        return p_statistic.getVariance();

    case MEAN:
        return p_statistic.getMean();

    default:
        throw new CIllegalStateException(
                org.lightjason.agentspeak.common.CCommon.languagestring(this, "unknown", this));
    }
}

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From source file:org.lightjason.agentspeak.action.builtin.math.statistic.EStatisticValue.java

/**
 * returns a statistic value/*  www.j av  a  2 s. c om*/
 *
 * @param p_statistic statistic object
 * @return statistic value
 */
public final double value(@Nonnull final SummaryStatistics p_statistic) {
    switch (this) {
    case GEOMETRICMEAN:
        return p_statistic.getGeometricMean();

    case MAX:
        return p_statistic.getMax();

    case MIN:
        return p_statistic.getMin();

    case COUNT:
        return p_statistic.getN();

    case POPULATIONVARIANCE:
        return p_statistic.getPopulationVariance();

    case QUADRATICMEAN:
        return p_statistic.getQuadraticMean();

    case SECONDMOMENT:
        return p_statistic.getSecondMoment();

    case STANDARDDEVIATION:
        return p_statistic.getStandardDeviation();

    case SUM:
        return p_statistic.getSum();

    case SUMLOG:
        return p_statistic.getSumOfLogs();

    case SUMSQUARE:
        return p_statistic.getSumsq();

    case VARIANCE:
        return p_statistic.getVariance();

    case MEAN:
        return p_statistic.getMean();

    default:
        throw new CIllegalStateException(
                org.lightjason.agentspeak.common.CCommon.languagestring(this, "unknown", this));
    }
}

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From source file:tech.tablesaw.columns.numbers.Stats.java

private static Stats getStats(NumericColumn<?> values, SummaryStatistics summaryStatistics) {
    Stats stats = new Stats("Column: " + values.name());
    stats.min = summaryStatistics.getMin();
    stats.max = summaryStatistics.getMax();
    stats.n = summaryStatistics.getN();//from   ww w  . ja va 2s .  c om
    stats.sum = summaryStatistics.getSum();
    stats.variance = summaryStatistics.getVariance();
    stats.populationVariance = summaryStatistics.getPopulationVariance();
    stats.quadraticMean = summaryStatistics.getQuadraticMean();
    stats.geometricMean = summaryStatistics.getGeometricMean();
    stats.mean = summaryStatistics.getMean();
    stats.standardDeviation = summaryStatistics.getStandardDeviation();
    stats.sumOfLogs = summaryStatistics.getSumOfLogs();
    stats.sumOfSquares = summaryStatistics.getSumsq();
    stats.secondMoment = summaryStatistics.getSecondMoment();
    return stats;
}

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