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

Introduction

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

Prototype

public double getSum()

Source Link

Document

Returns the sum of the values that have been added to Univariate.

Usage

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());
    }//from  ww w.ja va  2s . c om
    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);
}

From source file:performancestatisticsasset.DistributionSet.java

public void setDistributionSet(String targetGroup, String targetTask, String targetMeasure,
        RecordList dataSet) {//from ww  w .  ja  v  a  2 s. co m
    //Determine the number of trials selected by group and by task
    int trials = 0;
    int len = dataSet.records.size();
    for (int i = 0; i < len; i++) {
        if (dataSet.records.get(i).getTrialNumber() > trials)
            trials = dataSet.records.get(i).getTrialNumber();
    }

    Distribution tempDist;
    DescriptiveStatistics tempStat;
    //For each trial of the set do
    for (int i = 0; i < trials; i++) {
        tempDist = new Distribution();
        tempStat = new DescriptiveStatistics();
        //Select data
        for (int j = 0; j < len; j++) {
            //If the current record is of the correct trial
            if ((dataSet.records.get(j).getTrialNumber() == i + 1)
                    && (targetGroup.equals(dataSet.records.get(j).getGroupID()))
                    && (targetTask.equals(dataSet.records.get(j).getTaskID()))) {
                //Fill distribution
                switch (targetMeasure) {
                case "time":
                    tempStat.addValue(dataSet.records.get(j).getTimeToComplete());
                    break;
                case "perf":
                    tempStat.addValue(dataSet.records.get(j).getPerformance());
                    break;
                }
            }
        }
        //Transfer the computed statistics to tempDist
        tempDist.max = tempStat.getMax();
        tempDist.min = tempStat.getMin();
        tempDist.sum = tempStat.getSum();
        tempDist.variance = tempStat.getVariance();
        tempDist.mean = tempStat.getMean();
        tempDist.stdDev = tempStat.getStandardDeviation();
        tempDist.skewness = tempStat.getSkewness();
        tempDist.kurtosis = tempStat.getKurtosis();
        tempDist.n = tempStat.getN();

        //Add tempDist to distributionSet
        distributionSet.add(tempDist);
    }
}

From source file:performancestatisticsasset.DistributionSet.java

public void setDistributionSet(String targetTask, String targetMeasure, RecordList dataSet) {
    //Determine the number of trials selected by task
    int trials = 0;
    int len = dataSet.records.size();
    for (int i = 0; i < len; i++) {
        if (dataSet.records.get(i).getTrialNumber() > trials)
            trials = dataSet.records.get(i).getTrialNumber();
    }/*from   w  ww .jav  a 2  s  .  co m*/

    Distribution tempDist;
    DescriptiveStatistics tempStat;
    //For each trial of the set do
    for (int i = 0; i < trials; i++) {
        tempDist = new Distribution();
        tempStat = new DescriptiveStatistics();
        //Select data
        for (int j = 0; j < len; j++) {
            //If the current record is of the correct trial
            if ((dataSet.records.get(j).getTrialNumber() == i + 1)
                    && (targetTask.equals(dataSet.records.get(j).getTaskID()))) {
                //Fill distribution
                switch (targetMeasure) {
                case "time":
                    tempStat.addValue(dataSet.records.get(j).getTimeToComplete());
                    break;
                case "perf":
                    tempStat.addValue(dataSet.records.get(j).getPerformance());
                    break;
                }
            }
        }
        //Transfer the computed statistics to tempDist
        tempDist.max = tempStat.getMax();
        tempDist.min = tempStat.getMin();
        tempDist.sum = tempStat.getSum();
        tempDist.variance = tempStat.getVariance();
        tempDist.mean = tempStat.getMean();
        tempDist.stdDev = tempStat.getStandardDeviation();
        tempDist.skewness = tempStat.getSkewness();
        tempDist.kurtosis = tempStat.getKurtosis();
        tempDist.n = tempStat.getN();

        //Add tempDist to distributionSet
        distributionSet.add(tempDist);
    }
}