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

Introduction

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

Prototype

public double getSumsq()

Source Link

Document

Returns the sum of the squares of the available values.

Usage

From source file:org.apache.solr.client.solrj.io.eval.DescribeEvaluator.java

@Override
public Object doWork(Object value) throws IOException {

    if (!(value instanceof List<?>)) {
        throw new IOException(
                String.format(Locale.ROOT, "Invalid expression %s - expecting a numeric list but found %s",
                        toExpression(constructingFactory), value.getClass().getSimpleName()));
    }/*from  w ww  .ja va  2  s  . com*/

    // we know each value is a BigDecimal or a list of BigDecimals
    DescriptiveStatistics descriptiveStatistics = new DescriptiveStatistics();
    ((List<?>) value).stream().mapToDouble(innerValue -> ((BigDecimal) innerValue).doubleValue())
            .forEach(innerValue -> descriptiveStatistics.addValue(innerValue));

    Map<String, Number> map = new HashMap<>();
    map.put("max", descriptiveStatistics.getMax());
    map.put("mean", descriptiveStatistics.getMean());
    map.put("min", descriptiveStatistics.getMin());
    map.put("stdev", descriptiveStatistics.getStandardDeviation());
    map.put("sum", descriptiveStatistics.getSum());
    map.put("N", descriptiveStatistics.getN());
    map.put("var", descriptiveStatistics.getVariance());
    map.put("kurtosis", descriptiveStatistics.getKurtosis());
    map.put("skewness", descriptiveStatistics.getSkewness());
    map.put("popVar", descriptiveStatistics.getPopulationVariance());
    map.put("geometricMean", descriptiveStatistics.getGeometricMean());
    map.put("sumsq", descriptiveStatistics.getSumsq());

    return new Tuple(map);
}

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

/**
 * returns a statistic value/*ww  w.  j ava 2s  .  c  om*/
 *
 * @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//from   w  w w  .  ja v  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.obiba.opal.web.magma.Dtos.java

@SuppressWarnings({ "OverlyLongMethod", "PMD.NcssMethodCount" })
public static Math.ContinuousSummaryDto.Builder asDto(ContinuousVariableSummary summary) {
    DescriptiveStatistics descriptiveStats = summary.getDescriptiveStats();

    Math.DescriptiveStatsDto.Builder descriptiveBuilder = Math.DescriptiveStatsDto.newBuilder()
            .setN(descriptiveStats.getN()).addAllPercentiles(summary.getPercentiles());

    if (isNumeric(descriptiveStats.getMin()))
        descriptiveBuilder.setMin(descriptiveStats.getMin());
    if (isNumeric(descriptiveStats.getMax()))
        descriptiveBuilder.setMax(descriptiveStats.getMax());
    if (isNumeric(descriptiveStats.getMean()))
        descriptiveBuilder.setMean(descriptiveStats.getMean());
    if (isNumeric(descriptiveStats.getSum()))
        descriptiveBuilder.setSum(descriptiveStats.getSum());
    if (isNumeric(descriptiveStats.getSumsq()))
        descriptiveBuilder.setSumsq(descriptiveStats.getSumsq());
    if (isNumeric(descriptiveStats.getStandardDeviation())) {
        descriptiveBuilder.setStdDev(descriptiveStats.getStandardDeviation());
    }/*  w ww  .ja  v  a2 s .  com*/
    if (isNumeric(descriptiveStats.getVariance()))
        descriptiveBuilder.setVariance(descriptiveStats.getVariance());
    if (isNumeric(descriptiveStats.getSkewness()))
        descriptiveBuilder.setSkewness(descriptiveStats.getSkewness());
    if (isNumeric(descriptiveStats.getGeometricMean())) {
        descriptiveBuilder.setGeometricMean(descriptiveStats.getGeometricMean());
    }
    if (isNumeric(descriptiveStats.getKurtosis()))
        descriptiveBuilder.setKurtosis(descriptiveStats.getKurtosis());
    double median = descriptiveStats.apply(new Median());
    if (isNumeric(median))
        descriptiveBuilder.setMedian(median);
    if (isNumeric(descriptiveStats.getVariance()))
        descriptiveBuilder.setVariance(descriptiveStats.getVariance());

    Math.ContinuousSummaryDto.Builder continuousBuilder = Math.ContinuousSummaryDto.newBuilder()
            .addAllDistributionPercentiles(summary.getDistributionPercentiles());
    for (IntervalFrequency.Interval interval : summary.getIntervalFrequencies()) {
        Math.IntervalFrequencyDto.Builder freqBuilder = Math.IntervalFrequencyDto.newBuilder()
                .setFreq(interval.getFreq());
        if (isNumeric(interval.getLower()))
            freqBuilder.setLower(interval.getLower());
        if (isNumeric(interval.getUpper()))
            freqBuilder.setUpper(interval.getUpper());
        if (isNumeric(interval.getDensity()))
            freqBuilder.setDensity(interval.getDensity());
        if (isNumeric(interval.getDensityPct()))
            freqBuilder.setDensityPct(interval.getDensityPct());
        continuousBuilder.addIntervalFrequency(freqBuilder);
    }

    for (ContinuousVariableSummary.Frequency frequency : summary.getFrequencies()) {
        Math.FrequencyDto.Builder freqBuilder = Math.FrequencyDto.newBuilder() //
                .setValue(frequency.getValue()) //
                .setFreq(frequency.getFreq())//
                .setMissing(frequency.isMissing());
        if (isNumeric(frequency.getPct()))
            freqBuilder.setPct(frequency.getPct());
        continuousBuilder.addFrequencies(freqBuilder);
    }

    return continuousBuilder.setSummary(descriptiveBuilder);
}