DescriptiveStatistics (Hipparchus 1.7 API)

java.lang.Object
- org.hipparchus.stat.descriptive.DescriptiveStatistics

All Implemented Interfaces:

Serializable, DoubleConsumer, StatisticalSummary
```
public class DescriptiveStatistics
extends Object
implements StatisticalSummary, DoubleConsumer, Serializable
```
Maintains a dataset of values of a single variable and computes descriptive statistics based on stored data.
The windowSize property sets a limit on the number of values that can be stored in the dataset. The default value, INFINITE_WINDOW, puts no limit on the size of the dataset. This value should be used with caution, as the backing store will grow without bound in this case.
For very large datasets, StreamingStatistics, which does not store the dataset, should be used instead of this class. If windowSize is not INFINITE_WINDOW and more values are added than can be stored in the dataset, new values are added in a "rolling" manner, with new values replacing the "oldest" values in the dataset.
Note: this class is not threadsafe.

See Also:

Serialized Form

Field Summary

Fields
Modifier and Type Field and Description

protected static int INFINITE_WINDOW
Represents an infinite window size.

Fields
Modifier and Type	Field and Description
`protected static int`	`INFINITE_WINDOW` Represents an infinite window size.

Constructor Summary

Constructors
Modifier	Constructor and Description
	`DescriptiveStatistics()` Construct a DescriptiveStatistics instance with an infinite window.
`protected`	`DescriptiveStatistics(DescriptiveStatistics original)` Copy constructor.
	`DescriptiveStatistics(double[] initialDoubleArray)` Construct a DescriptiveStatistics instance with an infinite window and the initial data values in double[] initialDoubleArray.
	`DescriptiveStatistics(int size)` Construct a DescriptiveStatistics instance with the specified window.

Method Summary

All Methods Instance Methods Concrete Methods
Modifier and Type	Method and Description
`void`	`accept(double v)`
`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.
`DescriptiveStatistics`	`copy()` Returns a copy of this DescriptiveStatistics instance with the same internal state.
`double`	`getElement(int index)` Returns the element at the specified index
`double`	`getGeometricMean()` Returns the geometric mean of the available values.
`double`	`getKurtosis()` Returns the Kurtosis of the available values.
`double`	`getMax()` Returns the maximum of the available values
`double`	`getMean()` Returns the arithmetic mean of the available values
`double`	`getMin()` Returns the minimum of the available values
`long`	`getN()` Returns the number of available values
`double`	`getPercentile(double p)` Returns an estimate for the pth percentile of the stored values.
`double`	`getPopulationVariance()` Returns the population variance of the available values.
`double`	`getQuadraticMean()` Returns the quadratic mean of the available values.
`double`	`getSkewness()` Returns the skewness of the available values.
`double[]`	`getSortedValues()` Returns the current set of values in an array of double primitives, sorted in ascending order.
`double`	`getStandardDeviation()` Returns the standard deviation of the available values.
`double`	`getSum()` Returns the sum of the values that have been added to Univariate.
`double`	`getSumOfSquares()` Returns the sum of the squares of the available values.
`double[]`	`getValues()` Returns the current set of values in an array of double primitives.
`double`	`getVariance()` Returns the variance of the available values.
`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`	`removeMostRecentValue()` Removes the most recent value from the dataset.
`double`	`replaceMostRecentValue(double v)` Replaces the most recently stored value with the given value.
`void`	`setWindowSize(int windowSize)` WindowSize controls the number of values that contribute to the reported statistics.
`String`	`toString()` Generates a text report displaying univariate statistics from values that have been added.

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

Methods inherited from interface org.hipparchus.stat.descriptive.StatisticalSummary
aggregate, aggregate

Methods inherited from interface java.util.function.DoubleConsumer
andThen

- Field Detail
  - INFINITE_WINDOW
```
protected static final int INFINITE_WINDOW
```
    Represents an infinite window size. When the getWindowSize() returns this value, there is no limit to the number of data values that can be stored in the dataset.
    
    See Also:
    
    Constant Field Values
- Constructor Detail
  - DescriptiveStatistics
```
public DescriptiveStatistics()
```
    Construct a DescriptiveStatistics instance with an infinite window.
  - DescriptiveStatistics
```
public DescriptiveStatistics(int size)
                      throws MathIllegalArgumentException
```
    Construct a DescriptiveStatistics instance with the specified window.
    
    Parameters:
    
    size - the window size.
    
    Throws:
    
    MathIllegalArgumentException - if window size is less than 1 but not equal to INFINITE_WINDOW
  - DescriptiveStatistics
```
public DescriptiveStatistics(double[] initialDoubleArray)
```
    Construct a DescriptiveStatistics instance with an infinite window and the initial data values in double[] initialDoubleArray.
    
    Parameters:
    
    initialDoubleArray - the initial double[].
    
    Throws:
    
    NullArgumentException - if the input array is null
  - DescriptiveStatistics
```
protected DescriptiveStatistics(DescriptiveStatistics original)
```
    Copy constructor.
    Construct a new DescriptiveStatistics instance that is a copy of original.
    
    Parameters:
    
    original - DescriptiveStatistics instance to copy
    
    Throws:
    
    NullArgumentException - if original is null
- Method Detail
  - copy
```
public DescriptiveStatistics copy()
```
    Returns a copy of this DescriptiveStatistics instance with the same internal state.
    
    Returns:
    
    a copy of this
  - 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.
    
    Parameters:
    
    v - the value to be added
  - accept
```
public void accept(double v)
```
    Specified by:
    
    accept in interface DoubleConsumer
  - clear
```
public void clear()
```
    Resets all statistics and storage.
  - removeMostRecentValue
```
public void removeMostRecentValue()
                           throws MathIllegalStateException
```
    Removes the most recent value from the dataset.
    
    Throws:
    
    MathIllegalStateException - if there are no elements stored
  - replaceMostRecentValue
```
public double replaceMostRecentValue(double v)
                              throws MathIllegalStateException
```
    Replaces the most recently stored value with the given value. There must be at least one element stored to call this method.
    
    Parameters:
    
    v - the value to replace the most recent stored value
    
    Returns:
    
    replaced value
    
    Throws:
    
    MathIllegalStateException - if there are no elements stored
  - apply
```
public double apply(UnivariateStatistic stat)
```
    Apply the given statistic to the data associated with this set of statistics.
    
    Parameters:
    
    stat - the statistic to apply
    
    Returns:
    
    the computed value of the statistic.
  - getMean
```
public double getMean()
```
    Returns the arithmetic mean of the available values
    
    Specified by:
    
    getMean in interface StatisticalSummary
    
    Returns:
    
    The mean or Double.NaN if no values have been added.
  - getGeometricMean
```
public double getGeometricMean()
```
    Returns the geometric mean of the available values.
    See GeometricMean for details on the computing algorithm.
    
    Returns:
    
    The geometricMean, Double.NaN if no values have been added, or if any negative values have been added.
    
    See Also:
    
    Geometric mean
  - getStandardDeviation
```
public double getStandardDeviation()
```
    Returns the standard deviation of the available values.
    
    Specified by:
    
    getStandardDeviation in interface StatisticalSummary
    
    Returns:
    
    The standard deviation, Double.NaN if no values have been added or 0.0 for a single value set.
  - getQuadraticMean
```
public double getQuadraticMean()
```
    Returns the quadratic mean of the available values.
    
    Returns:
    
    The quadratic mean or Double.NaN if no values have been added.
    
    See Also:
    
    Root Mean Square
  - getVariance
```
public double getVariance()
```
    Returns the variance of the available values.
    
    Specified by:
    
    getVariance in interface StatisticalSummary
    
    Returns:
    
    The variance, Double.NaN if no values have been added or 0.0 for a single value set.
  - getPopulationVariance
```
public double getPopulationVariance()
```
    Returns the population variance of the available values.
    
    Returns:
    
    The population variance, Double.NaN if no values have been added, or 0.0 for a single value set.
    
    See Also:
    
    Population variance
  - getSkewness
```
public double getSkewness()
```
    Returns the skewness of the available values. Skewness is a measure of the asymmetry of a given distribution.
    
    Returns:
    
    The skewness, Double.NaN if less than 3 values have been added.
  - getKurtosis
```
public double getKurtosis()
```
    Returns the Kurtosis of the available values. Kurtosis is a measure of the "peakedness" of a distribution.
    
    Returns:
    
    The kurtosis, Double.NaN if less than 4 values have been added.
  - getMax
```
public double getMax()
```
    Returns the maximum of the available values
    
    Specified by:
    
    getMax in interface StatisticalSummary
    
    Returns:
    
    The max or Double.NaN if no values have been added.
  - getMin
```
public double getMin()
```
    Returns the minimum of the available values
    
    Specified by:
    
    getMin in interface StatisticalSummary
    
    Returns:
    
    The min or Double.NaN if no values have been added.
  - getSum
```
public double getSum()
```
    Returns the sum of the values that have been added to Univariate.
    
    Specified by:
    
    getSum in interface StatisticalSummary
    
    Returns:
    
    The sum or Double.NaN if no values have been added
  - getSumOfSquares
```
public double getSumOfSquares()
```
    Returns the sum of the squares of the available values.
    
    Returns:
    
    The sum of the squares or Double.NaN if no values have been added.
  - getPercentile
```
public double getPercentile(double p)
                     throws MathIllegalArgumentException
```
    Returns an estimate for the pth percentile of the stored values.
    The implementation provided here follows the first estimation procedure presented here.
    Preconditions:
    - 0 < p ≤ 100 (otherwise an MathIllegalArgumentException is thrown)
    - at least one value must be stored (returns Double.NaN otherwise)
    Parameters:
    
    p - the requested percentile (scaled from 0 - 100)
    
    Returns:
    
    An estimate for the pth percentile of the stored data
    
    Throws:
    
    MathIllegalArgumentException - if p is not a valid quantile
  - getN
```
public long getN()
```
    Returns the number of available values
    
    Specified by:
    
    getN in interface StatisticalSummary
    
    Returns:
    
    The number of available values
  - 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.
    
    Returns:
    
    The current window size or -1 if its Infinite.
  - setWindowSize
```
public void setWindowSize(int windowSize)
                   throws MathIllegalArgumentException
```
    WindowSize controls the number of values that 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. If windowSize is decreased as a result of this call and there are more than the new value of elements in the current dataset, values from the front of the array are discarded to reduce the dataset to windowSize elements.
    
    Parameters:
    
    windowSize - sets the size of the window.
    
    Throws:
    
    MathIllegalArgumentException - if window size is less than 1 but not equal to INFINITE_WINDOW
  - 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.
    
    Returns:
    
    the current set of numbers in the order in which they were added to this set
  - getSortedValues
```
public double[] getSortedValues()
```
    Returns the current set of values in an array of double primitives, sorted in ascending order. The returned array is a fresh copy of the underlying data -- i.e., it is not a reference to the stored data.
    
    Returns:
    
    returns the current set of numbers sorted in ascending order
  - getElement
```
public double getElement(int index)
```
    Returns the element at the specified index
    
    Parameters:
    
    index - The Index of the element
    
    Returns:
    
    return the element at the specified index
  - 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 Object
    
    Returns:
    
    String with line feeds displaying statistics

Class DescriptiveStatistics

Field Summary

Constructor Summary

Method Summary

Methods inherited from class java.lang.Object

Methods inherited from interface org.hipparchus.stat.descriptive.StatisticalSummary

Methods inherited from interface java.util.function.DoubleConsumer

Field Detail

INFINITE_WINDOW

Constructor Detail

DescriptiveStatistics

DescriptiveStatistics

DescriptiveStatistics

DescriptiveStatistics

Method Detail

copy

addValue

accept

clear

removeMostRecentValue

replaceMostRecentValue

apply

getMean

getGeometricMean

getStandardDeviation

getQuadraticMean

getVariance

getPopulationVariance

getSkewness

getKurtosis

getMax

getMin

getSum

getSumOfSquares

getPercentile

getN

getWindowSize

setWindowSize

getValues

getSortedValues

getElement

toString