Examples of org.apache.commons.math.stat.descriptive.DescriptiveStatistics.addValue()

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

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

Examples of org.apache.commons.math.stat.descriptive.DescriptiveStatistics.addValue()

org.apache.commons.math.stat.descriptive.DescriptiveStatistics.addValue()
Adds the value to the dataset. If the dataset is at the maximum size (i.e., the number of stored elements equals the currently configured windowSize), the first (oldest) element in the dataset is discarded to make room for the new value. @param v the value to be added


    DescriptiveStatistics statTwo = new DescriptiveStatistics();
    for (int i =0; i < 100; i++) {
      statTwo.addValue(0);
    }
    statTwo.addValue(100);
    assertEquals(1, loadBalancer.costFromStats(statTwo), 0.01);


    DescriptiveStatistics statThree = new DescriptiveStatistics();
    for (int i =0; i < 100; i++) {
      statThree.addValue(0);

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    statTwo.addValue(100);
    assertEquals(1, loadBalancer.costFromStats(statTwo), 0.01);


    DescriptiveStatistics statThree = new DescriptiveStatistics();
    for (int i =0; i < 100; i++) {
      statThree.addValue(0);
      statThree.addValue(100);
    }
    assertEquals(0.5, loadBalancer.costFromStats(statThree), 0.01);
  }
}

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    assertEquals(1, loadBalancer.costFromStats(statTwo), 0.01);


    DescriptiveStatistics statThree = new DescriptiveStatistics();
    for (int i =0; i < 100; i++) {
      statThree.addValue(0);
      statThree.addValue(100);
    }
    assertEquals(0.5, loadBalancer.costFromStats(statThree), 0.01);
  }
}

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   */
  double computeSkewLoadCost(Map<ServerName, List<HRegionInfo>> clusterState) {
    DescriptiveStatistics stats = new DescriptiveStatistics();
    for (List<HRegionInfo> regions : clusterState.values()) {
      int size = regions.size();
      stats.addValue(size);
    }
    return costFromStats(stats);
  }


  /**

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          cost += getRegionLoadCost(rl, costType);
        }
      }


      // Add the total cost to the stats.
      stats.addValue(cost);
    }


    // No return the scaled cost from data held in the stats object.
    return costFromStats(stats);
  }

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        for (int i = 0; i < 100; i++) {
            List<MaterializedTuple> values = computeActual("SELECT orderkey FROM ORDERS TABLESAMPLE BERNOULLI (50)").getMaterializedTuples();


            assertEquals(values.size(), ImmutableSet.copyOf(values).size(), "TABLESAMPLE produced duplicate rows");
            stats.addValue(values.size() * 1.0 / total);
        }


        double mean = stats.getGeometricMean();
        assertTrue(mean > 0.45 && mean < 0.55, String.format("Expected mean sampling rate to be ~0.5, but was %s", mean));
    }

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        double standardizedSample[] = StatUtils.normalize(sample);


        DescriptiveStatistics stats = new DescriptiveStatistics();
        // Add the data from the array
        for (int i = 0; i < length; i++) {
            stats.addValue(standardizedSample[i]);
        }
        // the calculations do have a limited precision    
        double distance = 1E-10;
        // check the mean an standard deviation
        assertEquals(0.0, stats.getMean(), distance);

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            // Record deviations from "true" beta
            double dist = olsBeta.getDistance(b);
            olsBetaStats.addValue(dist * dist);
            dist = glsBeta.getDistance(b);
            glsBetaStats.addValue(dist * dist);
            
        }
        
        // Verify that GLS is on average more efficient, lower variance
        assert(olsBetaStats.getMean() > 1.5 * glsBetaStats.getMean());

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        line = in.readLine();


        while (line != null) {
            if (d != null) {
                d.addValue(Double.parseDouble(line.trim()));
            }  else {
                s.addValue(Double.parseDouble(line.trim()));
            }
            line = in.readLine();
        }

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        line = in.readLine();
        
        while (line != null) {
            if (d != null) {
                d.addValue(Double.parseDouble(line.trim()));
            }  else {
                s.addValue(Double.parseDouble(line.trim()));
            }
            line = in.readLine();
        }

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