Package org.hipparchus.stat.descriptive
Class AbstractUnivariateStatistic
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- org.hipparchus.stat.descriptive.AbstractUnivariateStatistic
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- All Implemented Interfaces:
UnivariateStatistic,MathArrays.Function
- Direct Known Subclasses:
Median,Percentile,SemiVariance
public abstract class AbstractUnivariateStatistic extends Object implements UnivariateStatistic
Abstract base class for implementations of theUnivariateStatisticinterface.
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Constructor Summary
Constructors Modifier Constructor Description protectedAbstractUnivariateStatistic()Default constructor.protectedAbstractUnivariateStatistic(AbstractUnivariateStatistic original)Copy constructor, creates an identical copy of theoriginal.
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Method Summary
All Methods Instance Methods Abstract Methods Concrete Methods Modifier and Type Method Description abstract UnivariateStatisticcopy()Returns a copy of the statistic with the same internal state.doubleevaluate()Returns the result of evaluating the statistic over the stored data.abstract doubleevaluate(double[] values, int begin, int length)Returns the result of evaluating the statistic over the specified entries in the input array.double[]getData()Get a copy of the stored data array.protected double[]getDataRef()Get a reference to the stored data array.voidsetData(double[] values)Set the data array.voidsetData(double[] values, int begin, int length)Set the data array.-
Methods inherited from class java.lang.Object
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait
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Methods inherited from interface org.hipparchus.stat.descriptive.UnivariateStatistic
evaluate
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Constructor Detail
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AbstractUnivariateStatistic
protected AbstractUnivariateStatistic()
Default constructor.
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AbstractUnivariateStatistic
protected AbstractUnivariateStatistic(AbstractUnivariateStatistic original)
Copy constructor, creates an identical copy of theoriginal.- Parameters:
original- the instance to copy- Throws:
NullArgumentException- if original is null
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Method Detail
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evaluate
public abstract double evaluate(double[] values, int begin, int length) throws MathIllegalArgumentExceptionReturns the result of evaluating the statistic over the specified entries in the input array.- Specified by:
evaluatein interfaceMathArrays.Function- Specified by:
evaluatein interfaceUnivariateStatistic- 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 values is null or the indices are invalid
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copy
public abstract UnivariateStatistic copy()
Returns a copy of the statistic with the same internal state.- Specified by:
copyin interfaceUnivariateStatistic- Returns:
- a copy of the statistic
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setData
public void setData(double[] values)
Set the data array.The stored value is a copy of the parameter array, not the array itself.
- Parameters:
values- data array to store (may be null to remove stored data)- See Also:
evaluate()
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getData
public double[] getData()
Get a copy of the stored data array.- Returns:
- copy of the stored data array (may be null)
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getDataRef
protected double[] getDataRef()
Get a reference to the stored data array.- Returns:
- reference to the stored data array (may be null)
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setData
public void setData(double[] values, int begin, int length) throws MathIllegalArgumentExceptionSet the data array. The input array is copied, not referenced.- Parameters:
values- data array to storebegin- the index of the first element to includelength- the number of elements to include- Throws:
MathIllegalArgumentException- if values is null or the indices are not valid- See Also:
evaluate()
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evaluate
public double evaluate() throws MathIllegalArgumentExceptionReturns the result of evaluating the statistic over the stored data.The stored array is the one which was set by previous calls to
setData(double[]).- Returns:
- the value of the statistic applied to the stored data
- Throws:
MathIllegalArgumentException- if the stored data array is null
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