Examples of StandardDeviation

org.apache.commons.math.stat.descriptive.moment.StandardDeviation
Computes the sample standard deviation. The standard deviation is the positive square root of the variance. This implementation wraps a {@link Variance} instance. The isBiasCorrected property of thewrapped Variance instance is exposed, so that this class can be used to compute both the "sample standard deviation" (the square root of the bias-corrected "sample variance") or the "population standard deviation" (the square root of the non-bias-corrected "population variance"). See {@link Variance} for more information.
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.math3.stat.descriptive.moment.StandardDeviation
Computes the sample standard deviation. The standard deviation is the positive square root of the variance. This implementation wraps a {@link Variance} instance. The isBiasCorrected property of thewrapped Variance instance is exposed, so that this class can be used to compute both the "sample standard deviation" (the square root of the bias-corrected "sample variance") or the "population standard deviation" (the square root of the non-bias-corrected "population variance"). See {@link Variance} for more information.
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.math.stat.descriptive.moment.StandardDeviation

        double[] values = new double[length];
        for (int i = 0; i < length; i++) {
            values[i] = start + i;
        }


        StandardDeviation stdDev = new StandardDeviation(false);
        return stdDev.evaluate(values);
    }

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

        double[] values = new double[length];
        for (int i = 0; i < length; i++) {
            values[i] = start + i;
        }


        StandardDeviation stdDev = new StandardDeviation();
        return stdDev.evaluate(values);
    }

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

      double[] values = new double[partitionRecordCounts.size()];
      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);
    }

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

        double[] values = new double[length];
        for (int i = 0; i < length; i++) {
            values[i] = start + i;
        }


        StandardDeviation stdDev = new StandardDeviation(false);
        return stdDev.evaluate(values);
    }

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

        double[] values = new double[length];
        for (int i = 0; i < length; i++) {
            values[i] = start + i;
        }


        StandardDeviation stdDev = new StandardDeviation();
        return stdDev.evaluate(values);
    }

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

        double[] values = new double[length];
        for (int i = 0; i < length; i++) {
            values[i] = start + i;
        }


        StandardDeviation stdDev = new StandardDeviation();
        return stdDev.evaluate(values);
    }

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

        double[] values = new double[length];
        for (int i = 0; i < length; i++) {
            values[i] = start + i;
        }


        StandardDeviation stdDev = new StandardDeviation(false);
        return stdDev.evaluate(values);
    }

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

                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());
        }

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

        if (estimatedInputs < 0)
            throw new IllegalArgumentException("estimatedInputs must be non-negative: " + estimatedInputs);
        this.maxSize = maxSize;
        this.estimatedInputs = estimatedInputs;
        this.buckets = new ArrayList<>(maxSize + 1);
        this.stdDev = calculateStandardDeviation ? new StandardDeviation() : null;
        computeMedianPointBoundaries(maxSize);
    }

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

    public void displayStatistics(Sample[] samples, int threadNo) {
        long start = Long.MAX_VALUE;
        long finish = 0;
        
        Mean mean = new Mean();
        StandardDeviation stdDev = new StandardDeviation();
        Skewness skewness = new Skewness();
        
        int n = 0;
        for(Sample sample: samples) {
            if (threadNo == -1 || threadNo == sample.threadId) {
                n++;
                if (sample.timestamp < start) {
                    start = sample.timestamp;
                }
                if (sample.timestamp + sample.duration > finish) {
                    finish = sample.timestamp + sample.duration;
                }
                mean.increment(sample.duration);
                stdDev.increment(sample.duration);
                skewness.increment(sample.duration);
            }
        }
        
        double throughPut = (double)n * (double)TimeUnit.SECONDS.toNanos(1) / (double)(finish - start);
        
        System.out.println(String.format("Mean(NS)    %.1f", mean.getResult()));
        System.out.println(String.format("StdDev(NS)  %.1f", stdDev.getResult()));
        System.out.println(String.format("Skew(NS)    %.1f", skewness.getResult()));
        System.out.println(String.format("Throughput  %.1f", throughPut));
        System.out.println(String.format("Total time  %.3f", (finish - start) / (double)TimeUnit.SECONDS.toNanos(1)));
        
    }

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