Examples of increment()

Examples of org.apache.commons.math.stat.descriptive.moment.SecondMoment.increment()

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    public void testMomentSmallSamples() {
        UnivariateStatistic stat = getUnivariateStatistic();
        if (stat instanceof SecondMoment) {
            SecondMoment moment = (SecondMoment) getUnivariateStatistic();
            assertTrue(Double.isNaN(moment.getResult()));
            moment.increment(1d);
            assertEquals(0d, moment.getResult(), 0);
        }
    }

    /**
 
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Examples of org.apache.commons.math.stat.descriptive.moment.StandardDeviation.increment()

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        for (LoadTestQueryResult result : queryResults) {
          long elapsedTime = result.getEndTime() > 0 ? result.getEndTime() - result.getStartTime() : -1;
          statisticsWriter.write(queryRate + "\t" + result.getNodeId() + "\t" + result.getStartTime() + "\t"
                  + result.getEndTime() + "\t" + elapsedTime + "\t" + result.getQuery() + "\n");
          if (elapsedTime != -1) {
            timeStandardDeviation.increment(elapsedTime);
            timeMean.increment(elapsedTime);
          } else {
            ++errors;
          }
        }
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Examples of org.apache.commons.math.stat.descriptive.moment.VectorialCovariance.increment()

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        VectorialMean meanStat = new VectorialMean(mean.length);
        VectorialCovariance covStat = new VectorialCovariance(mean.length, true);
        for (int i = 0; i < 5000; ++i) {
            double[] v = generator.nextVector();
            meanStat.increment(v);
            covStat.increment(v);
        }

        double[] estimatedMean = meanStat.getResult();
        RealMatrix estimatedCovariance = covStat.getResult();
        for (int i = 0; i < estimatedMean.length; ++i) {
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Examples of org.apache.commons.math.stat.descriptive.moment.VectorialMean.increment()

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        VectorialMean meanStat = new VectorialMean(mean.length);
        VectorialCovariance covStat = new VectorialCovariance(mean.length, true);
        for (int i = 0; i < 5000; ++i) {
            double[] v = generator.nextVector();
            meanStat.increment(v);
            covStat.increment(v);
        }

        double[] estimatedMean = meanStat.getResult();
        RealMatrix estimatedCovariance = covStat.getResult();
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Examples of org.apache.commons.math.stat.descriptive.summary.Sum.increment()

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            for (int i = 0; i < data.length; i++) {
                double val = data[i];

                // within category
                num++;
                sum.increment(val);
                sumsq.increment(val);

                // for all categories
                totnum++;
                totsum.increment(val);
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Examples of org.apache.commons.math.stat.descriptive.summary.SumOfSquares.increment()

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                double val = data[i];

                // within category
                num++;
                sum.increment(val);
                sumsq.increment(val);

                // for all categories
                totnum++;
                totsum.increment(val);
                totsumsq.increment(val);
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Examples of org.apache.commons.math.stat.univariate.moment.FourthMoment.increment()

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        Variance v = new Variance(m4);
        Skewness s= new Skewness(m4);
        Kurtosis k = new Kurtosis(m4);

        for (int i = 0; i < testArray.length; i++){
            m4.increment(testArray[i]);
            m.increment(testArray[i]);
            v.increment(testArray[i]);
            s.increment(testArray[i]);
            k.increment(testArray[i]);
        }
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Examples of org.apache.commons.math.stat.univariate.moment.Kurtosis.increment()

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        for (int i = 0; i < testArray.length; i++){
            m4.increment(testArray[i]);
            m.increment(testArray[i]);
            v.increment(testArray[i]);
            s.increment(testArray[i]);
            k.increment(testArray[i]);
        }
       
        assertEquals(mean,m.getResult(),tolerance);
        assertEquals(var,v.getResult(),tolerance);
        assertEquals(skew ,s.getResult(),tolerance);
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Examples of org.apache.commons.math.stat.univariate.moment.Mean.increment()

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        Skewness s= new Skewness(m4);
        Kurtosis k = new Kurtosis(m4);

        for (int i = 0; i < testArray.length; i++){
            m4.increment(testArray[i]);
            m.increment(testArray[i]);
            v.increment(testArray[i]);
            s.increment(testArray[i]);
            k.increment(testArray[i]);
        }
       
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Examples of org.apache.commons.math.stat.univariate.moment.Skewness.increment()

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        for (int i = 0; i < testArray.length; i++){
            m4.increment(testArray[i]);
            m.increment(testArray[i]);
            v.increment(testArray[i]);
            s.increment(testArray[i]);
            k.increment(testArray[i]);
        }
       
        assertEquals(mean,m.getResult(),tolerance);
        assertEquals(var,v.getResult(),tolerance);
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