Class AbstractStorelessUnivariateStatistic
- All Implemented Interfaces:
StorelessUnivariateStatistic
,UnivariateStatistic
,MathArrays.Function
- Direct Known Subclasses:
GeometricMean
,Kurtosis
,Max
,Mean
,Min
,Product
,PSquarePercentile
,SecondMoment
,Skewness
,StandardDeviation
,Sum
,SumOfLogs
,SumOfSquares
,Variance
StorelessUnivariateStatistic
interface.
Provides default evaluate()
and incrementAll(double[])
implementations.
Note that these implementations are not synchronized.
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Constructor Summary
Constructors -
Method Summary
Modifier and TypeMethodDescriptionabstract void
clear()
Clears the internal state of the Statisticabstract StorelessUnivariateStatistic
copy()
Returns a copy of the statistic with the same internal state.boolean
Returns true iffobject
is anAbstractStorelessUnivariateStatistic
returning the same values as this forgetResult()
andgetN()
double
evaluate
(double[] values) This default implementation callsclear()
, then invokesincrement(double)
in a loop over the the input array, and then usesgetResult()
to compute the return value.double
evaluate
(double[] values, int begin, int length) This default implementation callsclear()
, then invokesincrement(double)
in a loop over the specified portion of the input array, and then usesgetResult()
to compute the return value.abstract double
Returns the current value of the Statistic.int
hashCode()
Returns hash code based on getResult() and getN()abstract void
increment
(double d) Updates the internal state of the statistic to reflect the addition of the new value.void
incrementAll
(double[] values) This default implementation just callsincrement(double)
in a loop over the input array.void
incrementAll
(double[] values, int begin, int length) This default implementation just callsincrement(double)
in a loop over the specified portion of the input array.Methods inherited from class org.apache.commons.math3.stat.descriptive.AbstractUnivariateStatistic
evaluate, getData, getDataRef, setData, setData, test, test, test, test
Methods inherited from class java.lang.Object
clone, finalize, getClass, notify, notifyAll, toString, wait, wait, wait
Methods inherited from interface org.apache.commons.math3.stat.descriptive.StorelessUnivariateStatistic
getN
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Constructor Details
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AbstractStorelessUnivariateStatistic
public AbstractStorelessUnivariateStatistic()
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Method Details
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evaluate
This default implementation callsclear()
, then invokesincrement(double)
in a loop over the the input array, and then usesgetResult()
to compute the return value.Note that this implementation changes the internal state of the statistic. Its side effects are the same as invoking
clear()
and thenincrementAll(double[])
.Implementations may override this method with a more efficient and possibly more accurate implementation that works directly with the input array.
If the array is null, a MathIllegalArgumentException is thrown.
- Specified by:
evaluate
in interfaceMathArrays.Function
- Specified by:
evaluate
in interfaceUnivariateStatistic
- Overrides:
evaluate
in classAbstractUnivariateStatistic
- Parameters:
values
- input array- Returns:
- the value of the statistic applied to the input array
- Throws:
MathIllegalArgumentException
- if values is null- See Also:
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evaluate
This default implementation callsclear()
, then invokesincrement(double)
in a loop over the specified portion of the input array, and then usesgetResult()
to compute the return value.Note that this implementation changes the internal state of the statistic. Its side effects are the same as invoking
clear()
and thenincrementAll(double[], int, int)
.Implementations may override this method with a more efficient and possibly more accurate implementation that works directly with the input array.
If the array is null or the index parameters are not valid, an MathIllegalArgumentException is thrown.
- Specified by:
evaluate
in interfaceMathArrays.Function
- Specified by:
evaluate
in interfaceUnivariateStatistic
- Specified by:
evaluate
in classAbstractUnivariateStatistic
- Parameters:
values
- the input arraybegin
- the index of the first element to includelength
- the number of elements to include- Returns:
- the value of the statistic applied to the included array entries
- Throws:
MathIllegalArgumentException
- if the array is null or the indices are not valid- See Also:
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copy
Returns a copy of the statistic with the same internal state.- Specified by:
copy
in interfaceStorelessUnivariateStatistic
- Specified by:
copy
in interfaceUnivariateStatistic
- Specified by:
copy
in classAbstractUnivariateStatistic
- Returns:
- a copy of the statistic
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clear
public abstract void clear()Clears the internal state of the Statistic- Specified by:
clear
in interfaceStorelessUnivariateStatistic
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getResult
public abstract double getResult()Returns the current value of the Statistic.- Specified by:
getResult
in interfaceStorelessUnivariateStatistic
- Returns:
- value of the statistic,
Double.NaN
if it has been cleared or just instantiated.
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increment
public abstract void increment(double d) Updates the internal state of the statistic to reflect the addition of the new value.- Specified by:
increment
in interfaceStorelessUnivariateStatistic
- Parameters:
d
- the new value.
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incrementAll
This default implementation just callsincrement(double)
in a loop over the input array.Throws IllegalArgumentException if the input values array is null.
- Specified by:
incrementAll
in interfaceStorelessUnivariateStatistic
- Parameters:
values
- values to add- Throws:
MathIllegalArgumentException
- if values is null- See Also:
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incrementAll
public void incrementAll(double[] values, int begin, int length) throws MathIllegalArgumentException This default implementation just callsincrement(double)
in a loop over the specified portion of the input array.Throws IllegalArgumentException if the input values array is null.
- Specified by:
incrementAll
in interfaceStorelessUnivariateStatistic
- Parameters:
values
- array holding values to addbegin
- index of the first array element to addlength
- number of array elements to add- Throws:
MathIllegalArgumentException
- if values is null- See Also:
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equals
Returns true iffobject
is anAbstractStorelessUnivariateStatistic
returning the same values as this forgetResult()
andgetN()
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hashCode
public int hashCode()Returns hash code based on getResult() and getN()
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