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## org.apache.commons.math.stat.descriptive
Class SynchronizedDescriptiveStatistics

    java.lang.Object
      org.apache.commons.math.stat.descriptive.DescriptiveStatistics
          org.apache.commons.math.stat.descriptive.SynchronizedDescriptiveStatistics

All Implemented Interfaces:
  Serializable, StatisticalSummary

    public class SynchronizedDescriptiveStatistics

extends DescriptiveStatistics

Implementation of `DescriptiveStatistics` that is safe to use in a multithreaded environment. Multiple threads can safely operate on a single instance without causing runtime exceptions due to race conditions. In effect, this implementation makes modification and access methods atomic operations for a single instance. That is to say, as one thread is computing a statistic from the instance, no other thread can modify the instance nor compute another statistic.

Since:
  1.2
Version:
  $Revision: 811685 $ $Date: 2009-09-05 19:36:48 +0200 (sam. 05 sept. 2009) $
See Also:
  Serialized Form

Field Summary

Fields inherited from class org.apache.commons.math.stat.descriptive.DescriptiveStatistics
`eDA, INFINITE_WINDOW, windowSize`

Constructor Summary
`SynchronizedDescriptiveStatistics()` Construct an instance with infinite window
`SynchronizedDescriptiveStatistics(int window)` Construct an instance with finite window
`SynchronizedDescriptiveStatistics(SynchronizedDescriptiveStatistics original)` A copy constructor.

Method Summary
`void` | `addValue(double v)` Adds the value to the dataset.
`double` | `apply(UnivariateStatistic stat)` Apply the given statistic to the data associated with this set of statistics.
`void` | `clear()` Resets all statistics and storage
`SynchronizedDescriptiveStatistics` | `copy()` Returns a copy of this SynchronizedDescriptiveStatistics instance with the same internal state.
`static void` | `copy(SynchronizedDescriptiveStatistics source, SynchronizedDescriptiveStatistics dest)` Copies source to dest.
`double` | `getElement(int index)` Returns the element at the specified index
`long` | `getN()` Returns the number of available values
`double` | `getStandardDeviation()` Returns the standard deviation of the available values.
`double[]` | `getValues()` Returns the current set of values in an array of double primitives.
`int` | `getWindowSize()` Returns the maximum number of values that can be stored in the dataset, or INFINITE_WINDOW (-1) if there is no limit.
`void` | `setWindowSize(int windowSize)` WindowSize controls the number of values which contribute to the reported statistics.
`String` | `toString()` Generates a text report displaying univariate statistics from values that have been added.

Methods inherited from class org.apache.commons.math.stat.descriptive.DescriptiveStatistics
`copy, getGeometricMean, getGeometricMeanImpl, getKurtosis, getKurtosisImpl, getMax, getMaxImpl, getMean, getMeanImpl, getMin, getMinImpl, getPercentile, getPercentileImpl, getSkewness, getSkewnessImpl, getSortedValues, getSum, getSumImpl, getSumsq, getSumsqImpl, getVariance, getVarianceImpl, removeMostRecentValue, replaceMostRecentValue, setGeometricMeanImpl, setKurtosisImpl, setMaxImpl, setMeanImpl, setMinImpl, setPercentileImpl, setSkewnessImpl, setSumImpl, setSumsqImpl, setVarianceImpl`

Methods inherited from class java.lang.Object
`clone, equals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, wait`

Constructor Detail

### SynchronizedDescriptiveStatistics

    public SynchronizedDescriptiveStatistics()

  Construct an instance with infinite window

### SynchronizedDescriptiveStatistics

    public SynchronizedDescriptiveStatistics(int window)

  Construct an instance with finite window

  Parameters:
    `window` - the finite window size.

### SynchronizedDescriptiveStatistics

    public SynchronizedDescriptiveStatistics(SynchronizedDescriptiveStatistics original)

  A copy constructor. Creates a deep-copy of the `original`.

  Parameters:
    `original` - the `SynchronizedDescriptiveStatistics` instance to copy

Method Detail

### addValue

    public void addValue(double v)

  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.

  Overrides:
    `addValue` in class `DescriptiveStatistics`
  Parameters:
    `v` - the value to be added

### apply

    public double apply(UnivariateStatistic stat)

  Apply the given statistic to the data associated with this set of statistics.

  Overrides:
    `apply` in class `DescriptiveStatistics`
  Parameters:
    `stat` - the statistic to apply
  Returns:
    the computed value of the statistic.

### clear

    public void clear()

  Resets all statistics and storage

  Overrides:
    `clear` in class `DescriptiveStatistics`

### getElement

    public double getElement(int index)

  Returns the element at the specified index

  Overrides:
    `getElement` in class `DescriptiveStatistics`
  Parameters:
    `index` - The Index of the element
  Returns:
    return the element at the specified index

### getN

    public long getN()

  Returns the number of available values

  Specified by:
    `getN` in interface `StatisticalSummary`
  Overrides:
    `getN` in class `DescriptiveStatistics`
  Returns:
    The number of available values

### getStandardDeviation

    public double getStandardDeviation()

  Returns the standard deviation of the available values.

  Specified by:
    `getStandardDeviation` in interface `StatisticalSummary`
  Overrides:
    `getStandardDeviation` in class `DescriptiveStatistics`
  Returns:
    The standard deviation, Double.NaN if no values have been added or 0.0 for a single value set.

### getValues

    public double[] getValues()

  Returns the current set of values in an array of double primitives. The order of addition is preserved. The returned array is a fresh copy of the underlying data -- i.e., it is not a reference to the stored data.

  Overrides:
    `getValues` in class `DescriptiveStatistics`
  Returns:
    returns the current set of numbers in the order in which they were added to this set

### getWindowSize

    public int getWindowSize()

  Returns the maximum number of values that can be stored in the dataset, or INFINITE_WINDOW (-1) if there is no limit.

  Overrides:
    `getWindowSize` in class `DescriptiveStatistics`
  Returns:
    The current window size or -1 if its Infinite.

### setWindowSize

    public void setWindowSize(int windowSize)

  WindowSize controls the number of values which contribute to the reported statistics. For example, if windowSize is set to 3 and the values {1,2,3,4,5} have been added in that order then the available values are {3,4,5} and all reported statistics will be based on these values

  Overrides:
    `setWindowSize` in class `DescriptiveStatistics`
  Parameters:
    `windowSize` - sets the size of the window.

### toString

    public String toString()

  Generates a text report displaying univariate statistics from values that have been added. Each statistic is displayed on a separate line.

  Overrides:
    `toString` in class `DescriptiveStatistics`
  Returns:
    String with line feeds displaying statistics

### copy

    public SynchronizedDescriptiveStatistics copy()

  Returns a copy of this SynchronizedDescriptiveStatistics instance with the same internal state.

  Overrides:
    `copy` in class `DescriptiveStatistics`
  Returns:
    a copy of this

### copy

    public static void copy(SynchronizedDescriptiveStatistics source,
                            SynchronizedDescriptiveStatistics dest)

  Copies source to dest.

  Neither source nor dest can be null.

  Acquires synchronization lock on source, then dest before copying.

  Parameters:
    `source` - SynchronizedDescriptiveStatistics to copy
    `dest` - SynchronizedDescriptiveStatistics to copy to
  Throws:
    `NullPointerException` - if either source or dest is null

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