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

Introduction

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

Prototype

public double getMean() 

Source Link

Document

Returns the <a href="http://www.xycoon.com/arithmetic_mean.htm"> arithmetic mean </a> of the available values

Usage

From source file:org.jenetics.stat.DoubleMomentStatisticsTest.java

@Test(dataProvider = "sampleCounts")
public void summary(final Integer sampleCounts, final Double epsilon) {
    final List<Double> numbers = numbers(sampleCounts);

    final DescriptiveStatistics expected = new DescriptiveStatistics();
    numbers.forEach(expected::addValue);

    final DoubleMomentStatistics summary = numbers.stream()
            .collect(toDoubleMomentStatistics(Double::doubleValue));

    Assert.assertEquals(summary.getCount(), numbers.size());
    assertEqualsDouble(min(summary.getMin()), expected.getMin(), 0.0);
    assertEqualsDouble(max(summary.getMax()), expected.getMax(), 0.0);
    assertEqualsDouble(summary.getSum(), expected.getSum(), epsilon);
    assertEqualsDouble(summary.getMean(), expected.getMean(), epsilon);
    assertEqualsDouble(summary.getVariance(), expected.getVariance(), epsilon);
    assertEqualsDouble(summary.getSkewness(), expected.getSkewness(), epsilon);
    assertEqualsDouble(summary.getKurtosis(), expected.getKurtosis(), epsilon);
}

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From source file:org.jenetics.stat.DoubleMomentStatisticsTest.java

@Test(dataProvider = "parallelSampleCounts")
public void parallelSummary(final Integer sampleCounts, final Double epsilon) {
    final List<Double> numbers = numbers(sampleCounts);

    final DescriptiveStatistics expected = new DescriptiveStatistics();
    numbers.forEach(expected::addValue);

    final DoubleMomentStatistics summary = numbers.parallelStream()
            .collect(toDoubleMomentStatistics(Double::doubleValue));

    Assert.assertEquals(summary.getCount(), numbers.size());
    assertEqualsDouble(min(summary.getMin()), expected.getMin(), 0.0);
    assertEqualsDouble(max(summary.getMax()), expected.getMax(), 0.0);
    assertEqualsDouble(summary.getSum(), expected.getSum(), epsilon);
    assertEqualsDouble(summary.getMean(), expected.getMean(), epsilon);
    assertEqualsDouble(summary.getVariance(), expected.getVariance(), epsilon);
    assertEqualsDouble(summary.getSkewness(), expected.getSkewness(), epsilon);
    assertEqualsDouble(summary.getKurtosis(), expected.getKurtosis(), epsilon);
}

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From source file:org.jenetics.stat.IntMomentStatisticsTest.java

@Test(dataProvider = "sampleCounts")
public void summary(final Integer sampleCounts, final Double epsilon) {
    final List<Integer> numbers = numbers(sampleCounts);

    final DescriptiveStatistics expected = new DescriptiveStatistics();
    numbers.forEach(expected::addValue);

    final IntMomentStatistics summary = numbers.stream().collect(toIntMomentStatistics(Integer::intValue));

    Assert.assertEquals(summary.getCount(), numbers.size());
    assertEqualsDouble(min(summary.getMin()), expected.getMin(), 0.0);
    assertEqualsDouble(max(summary.getMax()), expected.getMax(), 0.0);
    assertEqualsDouble(summary.getSum(), expected.getSum(), epsilon);
    assertEqualsDouble(summary.getMean(), expected.getMean(), epsilon);
    assertEqualsDouble(summary.getVariance(), expected.getVariance(), epsilon);
    assertEqualsDouble(summary.getSkewness(), expected.getSkewness(), epsilon);
    assertEqualsDouble(summary.getKurtosis(), expected.getKurtosis(), epsilon);
}

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From source file:org.jenetics.stat.IntMomentStatisticsTest.java

@Test(dataProvider = "parallelSampleCounts")
public void parallelSummary(final Integer sampleCounts, final Double epsilon) {
    final List<Integer> numbers = numbers(sampleCounts);

    final DescriptiveStatistics expected = new DescriptiveStatistics();
    numbers.forEach(expected::addValue);

    final IntMomentStatistics summary = numbers.parallelStream()
            .collect(toIntMomentStatistics(Integer::intValue));

    Assert.assertEquals(summary.getCount(), numbers.size());
    assertEqualsDouble(min(summary.getMin()), expected.getMin(), 0.0);
    assertEqualsDouble(max(summary.getMax()), expected.getMax(), 0.0);
    assertEqualsDouble(summary.getSum(), expected.getSum(), epsilon);
    assertEqualsDouble(summary.getMean(), expected.getMean(), epsilon);
    assertEqualsDouble(summary.getVariance(), expected.getVariance(), epsilon);
    assertEqualsDouble(summary.getSkewness(), expected.getSkewness(), epsilon);
    assertEqualsDouble(summary.getKurtosis(), expected.getKurtosis(), epsilon);
}

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From source file:org.jenetics.stat.LongMomentStatisticsTest.java

@Test(dataProvider = "sampleCounts")
public void summary(final Integer sampleCounts, final Double epsilon) {
    final List<Long> numbers = numbers(sampleCounts);

    final DescriptiveStatistics expected = new DescriptiveStatistics();
    numbers.forEach(expected::addValue);

    final LongMomentStatistics summary = numbers.stream().collect(toLongMomentStatistics(Long::longValue));

    Assert.assertEquals(summary.getCount(), numbers.size());
    assertEqualsDouble(min(summary.getMin()), expected.getMin(), 0.0);
    assertEqualsDouble(max(summary.getMax()), expected.getMax(), 0.0);
    assertEqualsDouble(summary.getSum(), expected.getSum(), epsilon);
    assertEqualsDouble(summary.getMean(), expected.getMean(), epsilon);
    assertEqualsDouble(summary.getVariance(), expected.getVariance(), epsilon);
    assertEqualsDouble(summary.getSkewness(), expected.getSkewness(), epsilon);
    assertEqualsDouble(summary.getKurtosis(), expected.getKurtosis(), epsilon);
}

---

From source file:org.jenetics.stat.LongMomentStatisticsTest.java

@Test(dataProvider = "parallelSampleCounts")
public void parallelSummary(final Integer sampleCounts, final Double epsilon) {
    final List<Long> numbers = numbers(sampleCounts);

    final DescriptiveStatistics expected = new DescriptiveStatistics();
    numbers.forEach(expected::addValue);

    final LongMomentStatistics summary = numbers.stream().collect(toLongMomentStatistics(Long::longValue));

    Assert.assertEquals(summary.getCount(), numbers.size());
    assertEqualsDouble(min(summary.getMin()), expected.getMin(), 0.0);
    assertEqualsDouble(max(summary.getMax()), expected.getMax(), 0.0);
    assertEqualsDouble(summary.getSum(), expected.getSum(), epsilon);
    assertEqualsDouble(summary.getMean(), expected.getMean(), epsilon);
    assertEqualsDouble(summary.getVariance(), expected.getVariance(), epsilon);
    assertEqualsDouble(summary.getSkewness(), expected.getSkewness(), epsilon);
    assertEqualsDouble(summary.getKurtosis(), expected.getKurtosis(), epsilon);
}

---

From source file:org.jobscheduler.dashboard.service.SchedulerJobService.java

/**
 * Get statistics for JobName/* ww w  .j a  v  a 2 s. c  om*/
 * 
 * @param spoolerId
 * @param jobName
 * @return
 */
public SchedulerJobStatsDTO getStatsPerJobName(String spoolerId, String jobName, Pageable pageable) {
    SchedulerJobStatsDTO dto = new SchedulerJobStatsDTO();
    dto.setJobName(jobName);
    dto.setSpoolerId(spoolerId);

    // Number of executed jobs
    Long executedTimes = schedulerHistoryRepository.countBySpoolerIdAndJobName(spoolerId, jobName);
    dto.setExecutedTimes(executedTimes);

    // / Retrieve last executed jobs for a job name (max 100)
    List<SchedulerHistory> schedulerHistories = schedulerHistoryRepository.findBySpoolerIdAndJobName(spoolerId,
            jobName, pageable);
    dto.setNbJobsLastExecutedTimes(schedulerHistories.size());

    DescriptiveStatistics errorStats = new DescriptiveStatistics();
    DescriptiveStatistics workingTimeStats = new DescriptiveStatistics();
    SerieDTO workingTimes = new SerieDTO();
    SerieDTO meanWorkingTimes = new SerieDTO();
    List<PointDTO> points = new ArrayList<PointDTO>();
    List<PointDTO> meanWorkingTimePoints = new ArrayList<PointDTO>();
    workingTimes.setKey("Working time");
    workingTimes.setValues(points);
    meanWorkingTimes.setKey("Mean working time");
    meanWorkingTimes.setValues(meanWorkingTimePoints);

    DateTime startDateTime = null;
    DateTime endDateTime = null;
    for (SchedulerHistory schedulerHistory : schedulerHistories) {
        if ((schedulerHistory.getEndTime() != null) && (schedulerHistory.getEndTime().getTime() >= 0)) {
            endDateTime = new DateTime(schedulerHistory.getEndTime().getTime());
            startDateTime = new DateTime(schedulerHistory.getStartTime().getTime());
            long workingTime = endDateTime.getMillis() - startDateTime.getMillis();
            workingTimeStats.addValue(workingTime);
            points.add(new PointDTO(startDateTime.getMillis(), (long) workingTime));
            errorStats.addValue(0);
        } else {
            errorStats.addValue(1);
        }
    }
    dto.setLastStartDateTime(startDateTime);
    dto.setLastEndDateTime(endDateTime);
    dto.setMeanWorkingTime(workingTimeStats.getMean());

    for (SchedulerHistory schedulerHistory : schedulerHistories) {
        startDateTime = new DateTime(schedulerHistory.getStartTime().getTime());
        meanWorkingTimePoints.add(new PointDTO(startDateTime.getMillis(), (long) workingTimeStats.getMean()));
    }

    List<SerieDTO> seriesDTO = new ArrayList<SerieDTO>();
    seriesDTO.add(workingTimes);
    seriesDTO.add(meanWorkingTimes);
    dto.setWorkingTime(seriesDTO);

    schedulerJobRepository.findBySpoolerId(spoolerId);
    return dto;
}

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

/**
 * returns a statistic value/* w ww  .  j ava  2s.  c o m*/
 *
 * @param p_statistic statistic object
 * @return statistic value
 */
public final double value(final DescriptiveStatistics 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 STANDARDDEVIATION:
        return p_statistic.getStandardDeviation();

    case SUM:
        return p_statistic.getSum();

    case SUMSQUARE:
        return p_statistic.getSumsq();

    case VARIANCE:
        return p_statistic.getVariance();

    case MEAN:
        return p_statistic.getMean();

    case KURTIOSIS:
        return p_statistic.getKurtosis();

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

---

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

/**
 * returns a statistic value//w w  w  .  j  av a  2  s .  c o m
 *
 * @param p_statistic statistic object
 * @return statistic value
 */
public final double value(@Nonnull final DescriptiveStatistics 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 STANDARDDEVIATION:
        return p_statistic.getStandardDeviation();

    case SUM:
        return p_statistic.getSum();

    case SUMSQUARE:
        return p_statistic.getSumsq();

    case VARIANCE:
        return p_statistic.getVariance();

    case MEAN:
        return p_statistic.getMean();

    case KURTIOSIS:
        return p_statistic.getKurtosis();

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

---

From source file:org.matsim.contrib.drt.analysis.DynModeTripsAnalyser.java

public static String summarizeTrips(List<DynModeTrip> trips, String delimiter) {
    DescriptiveStatistics waitStats = new DescriptiveStatistics();
    DescriptiveStatistics rideStats = new DescriptiveStatistics();
    DescriptiveStatistics distanceStats = new DescriptiveStatistics();
    DescriptiveStatistics directDistanceStats = new DescriptiveStatistics();

    DescriptiveStatistics traveltimes = new DescriptiveStatistics();

    DecimalFormat format = new DecimalFormat();
    format.setDecimalFormatSymbols(new DecimalFormatSymbols(Locale.US));
    format.setMinimumIntegerDigits(1);//from  w  ww . j  a v  a 2  s. com
    format.setMaximumFractionDigits(2);
    format.setGroupingUsed(false);

    for (DynModeTrip trip : trips) {
        if (trip.getToLinkId() == null) {
            continue;
        }
        waitStats.addValue(trip.getWaitTime());
        rideStats.addValue(trip.getInVehicleTravelTime());
        distanceStats.addValue(trip.getTravelDistance());
        directDistanceStats.addValue(trip.getUnsharedDistanceEstimate_m());
        traveltimes.addValue(trip.getInVehicleTravelTime() + trip.getWaitTime());
    }
    String value = format.format(waitStats.getValues().length) + delimiter + format.format(waitStats.getMean())
            + delimiter + format.format(waitStats.getMax()) + delimiter
            + format.format(waitStats.getPercentile(95)) + delimiter
            + format.format(waitStats.getPercentile(75)) + delimiter
            + format.format(waitStats.getPercentile(50)) + delimiter + format.format(rideStats.getMean())
            + delimiter + format.format(distanceStats.getMean()) + delimiter
            + format.format(directDistanceStats.getMean()) + delimiter + format.format(traveltimes.getMean());
    return value;
}

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