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

Introduction

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

Prototype

public double getGeometricMean() 

Source Link

Document

Returns the geometric mean of the values that have been added.

Usage

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

/**
 * Calculates the weight for a split//from w w  w.  ja v a2 s.c o m
 */
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:org.datacleaner.beans.NumberAnalyzer.java

@Override
public NumberAnalyzerResult getResult() {
    CrosstabDimension measureDimension = new CrosstabDimension(DIMENSION_MEASURE);
    measureDimension.addCategory(MEASURE_ROW_COUNT);
    measureDimension.addCategory(MEASURE_NULL_COUNT);
    measureDimension.addCategory(MEASURE_HIGHEST_VALUE);
    measureDimension.addCategory(MEASURE_LOWEST_VALUE);
    measureDimension.addCategory(MEASURE_SUM);
    measureDimension.addCategory(MEASURE_MEAN);
    measureDimension.addCategory(MEASURE_GEOMETRIC_MEAN);
    measureDimension.addCategory(MEASURE_STANDARD_DEVIATION);
    measureDimension.addCategory(MEASURE_VARIANCE);
    measureDimension.addCategory(MEASURE_SECOND_MOMENT);
    measureDimension.addCategory(MEASURE_SUM_OF_SQUARES);

    if (descriptiveStatistics) {
        measureDimension.addCategory(MEASURE_MEDIAN);
        measureDimension.addCategory(MEASURE_PERCENTILE25);
        measureDimension.addCategory(MEASURE_PERCENTILE75);
        measureDimension.addCategory(MEASURE_SKEWNESS);
        measureDimension.addCategory(MEASURE_KURTOSIS);
    }/*from   w  ww .  j  av a  2  s. c o  m*/

    CrosstabDimension columnDimension = new CrosstabDimension(DIMENSION_COLUMN);
    for (InputColumn<? extends Number> column : _columns) {
        columnDimension.addCategory(column.getName());
    }

    Crosstab<Number> crosstab = new Crosstab<Number>(Number.class, columnDimension, measureDimension);
    for (InputColumn<? extends Number> column : _columns) {
        CrosstabNavigator<Number> nav = crosstab.navigate().where(columnDimension, column.getName());
        NumberAnalyzerColumnDelegate delegate = _columnDelegates.get(column);

        StatisticalSummary s = delegate.getStatistics();
        int nullCount = delegate.getNullCount();

        nav.where(measureDimension, MEASURE_NULL_COUNT).put(nullCount);

        if (nullCount > 0) {
            addAttachment(nav, delegate.getNullAnnotation(), column);
        }

        int numRows = delegate.getNumRows();
        nav.where(measureDimension, MEASURE_ROW_COUNT).put(numRows);

        long nonNullCount = s.getN();

        if (nonNullCount > 0) {
            final double highestValue = s.getMax();
            final double lowestValue = s.getMin();
            final double sum = s.getSum();
            final double mean = s.getMean();
            final double standardDeviation = s.getStandardDeviation();
            final double variance = s.getVariance();

            final double geometricMean;
            final double secondMoment;
            final double sumOfSquares;
            if (descriptiveStatistics) {
                final DescriptiveStatistics descriptiveStats = (DescriptiveStatistics) s;
                geometricMean = descriptiveStats.getGeometricMean();
                sumOfSquares = descriptiveStats.getSumsq();
                secondMoment = new SecondMoment().evaluate(descriptiveStats.getValues());
            } else {
                final SummaryStatistics summaryStats = (SummaryStatistics) s;
                geometricMean = summaryStats.getGeometricMean();
                secondMoment = summaryStats.getSecondMoment();
                sumOfSquares = summaryStats.getSumsq();
            }

            nav.where(measureDimension, MEASURE_HIGHEST_VALUE).put(highestValue);
            addAttachment(nav, delegate.getMaxAnnotation(), column);

            nav.where(measureDimension, MEASURE_LOWEST_VALUE).put(lowestValue);
            addAttachment(nav, delegate.getMinAnnotation(), column);

            nav.where(measureDimension, MEASURE_SUM).put(sum);
            nav.where(measureDimension, MEASURE_MEAN).put(mean);
            nav.where(measureDimension, MEASURE_GEOMETRIC_MEAN).put(geometricMean);
            nav.where(measureDimension, MEASURE_STANDARD_DEVIATION).put(standardDeviation);
            nav.where(measureDimension, MEASURE_VARIANCE).put(variance);
            nav.where(measureDimension, MEASURE_SUM_OF_SQUARES).put(sumOfSquares);
            nav.where(measureDimension, MEASURE_SECOND_MOMENT).put(secondMoment);

            if (descriptiveStatistics) {
                final DescriptiveStatistics descriptiveStatistics = (DescriptiveStatistics) s;
                final double kurtosis = descriptiveStatistics.getKurtosis();
                final double skewness = descriptiveStatistics.getSkewness();
                final double median = descriptiveStatistics.getPercentile(50.0);
                final double percentile25 = descriptiveStatistics.getPercentile(25.0);
                final double percentile75 = descriptiveStatistics.getPercentile(75.0);

                nav.where(measureDimension, MEASURE_MEDIAN).put(median);
                nav.where(measureDimension, MEASURE_PERCENTILE25).put(percentile25);
                nav.where(measureDimension, MEASURE_PERCENTILE75).put(percentile75);
                nav.where(measureDimension, MEASURE_SKEWNESS).put(skewness);
                nav.where(measureDimension, MEASURE_KURTOSIS).put(kurtosis);
            }
        }
    }
    return new NumberAnalyzerResult(_columns, crosstab);
}

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From source file:org.processmining.mining.fuzzymining.graph.transform.StatisticalCleanupTransformer.java

protected void print(SummaryStatistics stats) {
    System.out.println("min: " + stats.getMin());
    System.out.println("max: " + stats.getMax());
    System.out.println("mean: " + stats.getMean());
    System.out.println("geometr. mean: " + stats.getGeometricMean());
    System.out.println("standard deviation: " + stats.getStandardDeviation());
    System.out.println("variance: " + stats.getVariance());
}

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