Example usage for org.apache.commons.math3.stat StatUtils sumLog

Introduction

In this page you can find the example usage for org.apache.commons.math3.stat StatUtils sumLog.

Prototype

public static double sumLog(final double[] values) throws MathIllegalArgumentException 

Source Link

Document

Returns the sum of the natural logs of the entries in the input array, or Double.NaN if the array is empty.

Usage

From source file:kieker.tools.opad.timeseries.AggregationMethod.java

/**
 * This method returns the result of the aggregation under one of the defined aggregation methods.
 *
 * @param aggregationValues//from   ww w. ja va 2  s. c  o m
 *            Values to be aggregated
 * @return
 *         Result of the aggregation
 */
public double getAggregationValue(final double[] aggregationValues) {
    switch (this) {
    case GEOMETRIC_MEAN:
        return StatUtils.geometricMean(aggregationValues);
    case MAX:
        return StatUtils.max(aggregationValues);
    case MEAN:
        return StatUtils.mean(aggregationValues);
    case MIN:
        return StatUtils.min(aggregationValues);
    case PERCENTILE90:
        return StatUtils.percentile(aggregationValues, 90);
    case PERCENTILE95:
        return StatUtils.percentile(aggregationValues, 95);
    case PRODUCT:
        return StatUtils.product(aggregationValues);
    case SUM:
        return StatUtils.sum(aggregationValues);
    case SUMSQ:
        return StatUtils.sumSq(aggregationValues);
    case SUMLOG:
        return StatUtils.sumLog(aggregationValues);
    case VARIANCE:
        return StatUtils.variance(aggregationValues);
    default:
        return StatUtils.mean(aggregationValues);
    }
}

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From source file:tech.tablesaw.api.NumberColumnTest.java

@Test
public void testSummarize() {
    IntColumn c = IntColumn.indexColumn("t", 99, 1);
    IntColumn c2 = c.copy();/*from  w  ww .  jav  a2  s  . c om*/
    c2.appendCell("");
    double c2Variance = c2.variance();
    double cVariance = StatUtils.variance(c.asDoubleArray());
    assertEquals(cVariance, c2Variance, 0.00001);
    assertEquals(StatUtils.sumLog(c.asDoubleArray()), c2.sumOfLogs(), 0.00001);
    assertEquals(StatUtils.sumSq(c.asDoubleArray()), c2.sumOfSquares(), 0.00001);
    assertEquals(StatUtils.geometricMean(c.asDoubleArray()), c2.geometricMean(), 0.00001);
    assertEquals(StatUtils.product(c.asDoubleArray()), c2.product(), 0.00001);
    assertEquals(StatUtils.populationVariance(c.asDoubleArray()), c2.populationVariance(), 0.00001);
    assertEquals(new DescriptiveStatistics(c.asDoubleArray()).getQuadraticMean(), c2.quadraticMean(), 0.00001);
    assertEquals(new DescriptiveStatistics(c.asDoubleArray()).getStandardDeviation(), c2.standardDeviation(),
            0.00001);
    assertEquals(new DescriptiveStatistics(c.asDoubleArray()).getKurtosis(), c2.kurtosis(), 0.00001);
    assertEquals(new DescriptiveStatistics(c.asDoubleArray()).getSkewness(), c2.skewness(), 0.00001);

    assertEquals(StatUtils.variance(c.asDoubleArray()), c.variance(), 0.00001);
    assertEquals(StatUtils.sumLog(c.asDoubleArray()), c.sumOfLogs(), 0.00001);
    assertEquals(StatUtils.sumSq(c.asDoubleArray()), c.sumOfSquares(), 0.00001);
    assertEquals(StatUtils.geometricMean(c.asDoubleArray()), c.geometricMean(), 0.00001);
    assertEquals(StatUtils.product(c.asDoubleArray()), c.product(), 0.00001);
    assertEquals(StatUtils.populationVariance(c.asDoubleArray()), c.populationVariance(), 0.00001);
    assertEquals(new DescriptiveStatistics(c.asDoubleArray()).getQuadraticMean(), c.quadraticMean(), 0.00001);
    assertEquals(new DescriptiveStatistics(c.asDoubleArray()).getStandardDeviation(), c.standardDeviation(),
            0.00001);
    assertEquals(new DescriptiveStatistics(c.asDoubleArray()).getKurtosis(), c.kurtosis(), 0.00001);
    assertEquals(new DescriptiveStatistics(c.asDoubleArray()).getSkewness(), c.skewness(), 0.00001);
}

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