Examples of GeometricMean

org.apache.commons.math.stat.descriptive.moment.GeometricMean
ycoon.com/geometric_mean.htm"> geometric mean of the available values.
Uses a {@link SumOfLogs} instance to compute sum of logs and returns exp( 1/n (sum of logs) ). Therefore,
- If any of values are < 0, the result is NaN.
- If all values are non-negative and less than Double.POSITIVE_INFINITY, but at least one value is 0, the result is 0.
- If both Double.POSITIVE_INFINITY and Double.NEGATIVE_INFINITY are among the values, the result is NaN.
Note that this implementation is not synchronized. If multiple threads access an instance of this class concurrently, and at least one of the threads invokes the increment() or clear() method, it must be synchronized externally.
@version $Revision: 1006299 $ $Date: 2010-10-10 16:47:17 +0200 (dim. 10 oct. 2010) $
org.apache.commons.math.stat.univariate.moment.GeometricMean
ycoon.com/geometric_mean.htm"> geometric mean of the available values @version $Revision: 1.14 $ $Date: 2003/11/19 03:28:24 $
org.apache.commons.math3.stat.descriptive.moment.GeometricMean
ycoon.com/geometric_mean.htm"> geometric mean of the available values.
Uses a {@link SumOfLogs} instance to compute sum of logs and returns exp( 1/n (sum of logs) ). Therefore,
- If any of values are < 0, the result is NaN.
- If all values are non-negative and less than Double.POSITIVE_INFINITY, but at least one value is 0, the result is 0.
- If both Double.POSITIVE_INFINITY and Double.NEGATIVE_INFINITY are among the values, the result is NaN.
Note that this implementation is not synchronized. If multiple threads access an instance of this class concurrently, and at least one of the threads invokes the increment() or clear() method, it must be synchronized externally.

Examples of org.apache.commons.math3.stat.descriptive.moment.GeometricMean

            sumImpl[i]     = new Sum();
            sumSqImpl[i]   = new SumOfSquares();
            minImpl[i]     = new Min();
            maxImpl[i]     = new Max();
            sumLogImpl[i]  = new SumOfLogs();
            geoMeanImpl[i] = new GeometricMean();
            meanImpl[i]    = new Mean();
        }


        covarianceImpl =
            new VectorialCovariance(k, isCovarianceBiasCorrected);

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Examples of org.apache.commons.math3.stat.descriptive.moment.GeometricMean

            TestUtils.assertEquals(dstats.getMean(), sstats.getMean(), tol);
            TestUtils.assertEquals(new Mean().evaluate(values), dstats.getMean(), tol);
            TestUtils.assertEquals(dstats.getMax(), sstats.getMax(), tol);
            TestUtils.assertEquals(new Max().evaluate(values), dstats.getMax(), tol);
            TestUtils.assertEquals(dstats.getGeometricMean(), sstats.getGeometricMean(), tol);
            TestUtils.assertEquals(new GeometricMean().evaluate(values), dstats.getGeometricMean(), tol);
            TestUtils.assertEquals(dstats.getMin(), sstats.getMin(), tol);
            TestUtils.assertEquals(new Min().evaluate(values), dstats.getMin(), tol);
            TestUtils.assertEquals(dstats.getStandardDeviation(), sstats.getStandardDeviation(), tol);
            TestUtils.assertEquals(dstats.getVariance(), sstats.getVariance(), tol);
            TestUtils.assertEquals(new Variance().evaluate(values), dstats.getVariance(), tol);

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Examples of org.apache.commons.math3.stat.descriptive.moment.GeometricMean

    
    @Test
    public void testOverrideGeoMeanWithMathClass() {
        double[] scores = {1, 2, 3, 4};
        SummaryStatistics stats = new SummaryStatistics();
        stats.setGeoMeanImpl(new GeometricMean()); 
        for(double i : scores) {
          stats.addValue(i);
        }
        Assert.assertEquals((new GeometricMean()).evaluate(scores),stats.getGeometricMean(), 0); 
    }

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Examples of org.apache.commons.math3.stat.descriptive.moment.GeometricMean

        }
        return this.sumLog;
    }
    private GeometricMean _getGeoMean() {
        if (this.geoMean == null) {
            this.geoMean = new GeometricMean(this._getSumLog());
        }
        return this.geoMean;
    }

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Examples of org.apache.commons.math3.stat.descriptive.moment.GeometricMean

    
    @Test
    public void testOverrideGeoMeanWithMathClass() throws Exception {
        double[] scores = {1, 2, 3, 4};
        SummaryStatistics stats = new SummaryStatistics();
        stats.setGeoMeanImpl(new GeometricMean()); 
        for(double i : scores) {
          stats.addValue(i);
        }
        Assert.assertEquals((new GeometricMean()).evaluate(scores),stats.getGeometricMean(), 0); 
    }

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Examples of org.apache.commons.math3.stat.descriptive.moment.GeometricMean

            TestUtils.assertEquals(dstats.getMean(), sstats.getMean(), tol);
            TestUtils.assertEquals(new Mean().evaluate(values), dstats.getMean(), tol);
            TestUtils.assertEquals(dstats.getMax(), sstats.getMax(), tol);
            TestUtils.assertEquals(new Max().evaluate(values), dstats.getMax(), tol);
            TestUtils.assertEquals(dstats.getGeometricMean(), sstats.getGeometricMean(), tol);
            TestUtils.assertEquals(new GeometricMean().evaluate(values), dstats.getGeometricMean(), tol);
            TestUtils.assertEquals(dstats.getMin(), sstats.getMin(), tol);
            TestUtils.assertEquals(new Min().evaluate(values), dstats.getMin(), tol);
            TestUtils.assertEquals(dstats.getStandardDeviation(), sstats.getStandardDeviation(), tol);
            TestUtils.assertEquals(dstats.getVariance(), sstats.getVariance(), tol);
            TestUtils.assertEquals(new Variance().evaluate(values), dstats.getVariance(), tol);

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