Package com.macrofocus.molap.aggregates.cube

Class DistributiveStatistics

java.lang.Object

com.macrofocus.molap.aggregates.cube.DistributiveStatistics

public class DistributiveStatistics
extends java.lang.Object

Nested Class Summary

Nested Classes

Modifier and Type	Class	Description
static interface	DistributiveStatistics.RowFilter<R>

Constructor Summary

Constructors

Constructor	Description
DistributiveStatistics()
DistributiveStatistics(Matrix<R,C> matrix)
DistributiveStatistics(Series<R,?> series)
DistributiveStatistics(Series<R,?> series, java.lang.Iterable<R> keys)
DistributiveStatistics(Series<R,?> series, java.lang.Iterable<R> keys, DistributiveStatistics.RowFilter<R> filter)

Method Summary

Modifier and Type	Method	Description
void	add(DistributiveStatistics distributiveStatistics)
void	addMissing()
void	addNumber(java.lang.Number value)
void	addValue(double v)
java.lang.Double	getCoefficientOfVariance()
java.lang.Double	getCorrectedSumOfSquares()
long	getCount()
long	getCountOfMissing()
java.lang.Double	getLowerConfidenceLimit()
java.lang.Number	getMaximum()
java.lang.Double	getMean()
java.lang.Number	getMinimum()
java.lang.Double	getProbabilityOfGreaterAbsoluteValue()
java.lang.Double	getRange()
java.lang.Double	getStandardDeviation()
java.lang.Double	getStandardErrorOfMean()
java.lang.Double	getSum()
java.lang.Double	getTValue()
java.lang.Double	getUncorrectedSumOfSquares()
java.lang.Double	getUpperConfidenceLimit()
java.lang.Double	getVariance()
java.lang.String	toString()

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, wait

Constructor Detail

DistributiveStatistics

public DistributiveStatistics()

DistributiveStatistics

public DistributiveStatistics(Series<R,?> series)

DistributiveStatistics

public DistributiveStatistics(Series<R,?> series,
                              java.lang.Iterable<R> keys)

DistributiveStatistics

public DistributiveStatistics(Series<R,?> series,
                              java.lang.Iterable<R> keys,
                              DistributiveStatistics.RowFilter<R> filter)

DistributiveStatistics

public DistributiveStatistics(Matrix<R,C> matrix)

Method Detail

addNumber

public void addNumber(java.lang.Number value)

addMissing

public void addMissing()

addValue

public void addValue(double v)

add

public void add(DistributiveStatistics distributiveStatistics)

getCount

public long getCount()

getSum

public java.lang.Double getSum()

getUncorrectedSumOfSquares

public java.lang.Double getUncorrectedSumOfSquares()

getCountOfMissing

public long getCountOfMissing()

getMinimum

public java.lang.Number getMinimum()

getMaximum

public java.lang.Number getMaximum()

getMean

public java.lang.Double getMean()

getRange

public java.lang.Double getRange()

getCorrectedSumOfSquares

public java.lang.Double getCorrectedSumOfSquares()

getVariance

public java.lang.Double getVariance()

getStandardDeviation

public java.lang.Double getStandardDeviation()

getStandardErrorOfMean

public java.lang.Double getStandardErrorOfMean()

getCoefficientOfVariance

public java.lang.Double getCoefficientOfVariance()

getTValue

public java.lang.Double getTValue()

getProbabilityOfGreaterAbsoluteValue

public java.lang.Double getProbabilityOfGreaterAbsoluteValue()

getLowerConfidenceLimit

public java.lang.Double getLowerConfidenceLimit()

getUpperConfidenceLimit

public java.lang.Double getUpperConfidenceLimit()

toString

public java.lang.String toString()

Overrides:

toString in class java.lang.Object