Examples of org.apache.commons.math.stat.descriptive.moment.Mean

Package org.apache.commons.math.stat.descriptive.moment

Examples of org.apache.commons.math.stat.descriptive.moment.Mean

org.apache.commons.math.stat.descriptive.moment.Mean
Computes the arithmetic mean of a set of values. Uses the definitional formula:

mean = sum(x_i) / n

where n is the number of observations.

When {@link #increment(double)} is used to add data incrementally from astream of (unstored) values, the value of the statistic that {@link #getResult()} returns is computed using the following recursiveupdating algorithm:
1. Initialize m = the first value
2. For each additional value, update using
  m = m + (new value - m) / (number of observations)
If {@link #evaluate(double[])} is used to compute the mean of an arrayof stored values, a two-pass, corrected algorithm is used, starting with the definitional formula computed using the array of stored values and then correcting this by adding the mean deviation of the data values from the arithmetic mean. See, e.g. "Comparison of Several Algorithms for Computing Sample Means and Variances," Robert F. Ling, Journal of the American Statistical Association, Vol. 69, No. 348 (Dec., 1974), pp. 859-866.

Returns Double.NaN if the dataset is empty.
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) $

     * </p>
     * @return the mean
     */
    public double getMean() {
        if (mean == meanImpl) {
            return new Mean(secondMoment).getResult();
        } else {
            return meanImpl.getResult();
        }
    }

View Full Code Here

        u.clear();
        u.addValue(1);
        u.addValue(2);
        assertEquals(3, u.getMean(), 1E-14);
        u.clear();
        u.setMeanImpl(new Mean()); // OK after clear
    }

View Full Code Here




    public void testInteraction() {
        
        FourthMoment m4 = new FourthMoment();
        Mean m = new Mean(m4);
        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]);
        }
        
        assertEquals(mean,m.getResult(),tolerance);
        assertEquals(var,v.getResult(),tolerance);
        assertEquals(skew ,s.getResult(),tolerance);
        assertEquals(kurt,k.getResult(),tolerance);


    }

View Full Code Here

        u.addValue(new double[] { 3, 4 });
        assertEquals(4, u.getMean()[0], 1E-14);
        assertEquals(6, u.getMean()[1], 1E-14);
        u.clear();
        u.setMeanImpl(new StorelessUnivariateStatistic[] {
                        new Mean(), new Mean()
                      }); // OK after clear
        u.addValue(new double[] { 1, 2 });
        u.addValue(new double[] { 3, 4 });
        assertEquals(2, u.getMean()[0], 1E-14);
        assertEquals(3, u.getMean()[1], 1E-14);

View Full Code Here


  /**
   * @return Dom string average size (byte).
   */
  public int getMeanStateStringSize() {
    final Mean mean = new Mean();


    for (StateVertex state : sfg.vertexSet()) {
      mean.increment(state.getDomSize());
    }


    return (int) mean.getResult();
  }

View Full Code Here

      int i = 0;
      for (Integer rc : partitionRecordCounts) {
        values[i++] = rc.doubleValue();
      }
      StandardDeviation stdDev = new StandardDeviation();
      Mean mean = new Mean();
      double std = stdDev.evaluate(values);
      double m = mean.evaluate(values);
      System.out.println("mean: " + m + " std dev: " + std);
      //Assert.assertTrue(std < 0.1 * m);
      assertEquals(31000, count);
    }
  }

View Full Code Here

            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);

View Full Code Here

     * 
     * @return the mean
     */
    public double getMean() {
      if (mean == meanImpl) {
          return new Mean(secondMoment).getResult();
      } else {
          return meanImpl.getResult();
      }
    }

View Full Code Here

                percentile_99_5 = percentile.evaluate(99.5);
                percentile_99 = percentile.evaluate(99);
                percentile_90 = percentile.evaluate(90);
                median = Math.max(1d, percentile.evaluate(50));
                max = StatUtils.max(rawDataAsArray);
                mean = new Mean().evaluate(rawDataAsArray);
                stddev = new StandardDeviation().evaluate(rawDataAsArray);
            }
            computedData.set(getCopyOfComputedData());
        }

View Full Code Here


  @Override
  public int getMeanStateStringSize() {
    readLock.lock();
    try {
      final Mean mean = new Mean();


      for (StateVertex state : sfg.vertexSet()) {
        mean.increment(state.getDom().getBytes().length);
      }


      return (int) mean.getResult();
    } finally {
      readLock.unlock();
    }
  }

View Full Code Here

0 1 2 3 4

TOP

Related Classes of org.apache.commons.math.stat.descriptive.moment.Mean

com.crawljax.core.state.InMemoryStateFlowGraph

com.crawljax.core.state.StateFlowGraph

com.netflix.eventbus.impl.AbstractEventBusStats$LatencyStats

miscellaneous.StatisticsUtility

net.sf.katta.tool.loadtest.LoadTestMasterOperation

org.apache.accumulo.core.util.Stat

org.apache.commons.math.stat.correlation.Covariance

org.apache.commons.math.stat.descriptive.DescriptiveStatistics

org.apache.commons.math.stat.descriptive.InteractionTest

org.apache.commons.math.stat.descriptive.MultivariateSummaryStatistics

All source code are property of their respective owners. Java is a trademark of Sun Microsystems, Inc and owned by ORACLE Inc. Contact coftware#gmail.com.