Class UnivariateStatistics

java.lang.Object

jwat.UnivariateStatistics

public class UnivariateStatistics
extends Object

Description:

Author:

Brambilla Davide Matr 667986, Fumagalli Claudio 667971 Class created 1-ago-2006 10.01.22 Darksch

Constructor Summary

Constructors

Constructor	Description
UnivariateStatistics(Observation[] list, int nVar)	Constructor: calculates univariate statistics using list observation array for the nVar-th variable

Method Summary

Modifier and Type	Method	Description
double	getDevStd()	Returns Deviation Standard value
double	getDimInt1000()	Restituisce la dimensione dell'intervallo per i grafici
double	getKurtosis()	Return Kurtosis value
double	getMaxValue()	Returns Maximum value
double	getMean()	Returns Mean value
double	getMedian()	Returns Median Value
double	getMinValue()	Returns Minimum value
int	getNumObs()	REturns number of observations
int[]	getQuantili()	Returns Quantili list
double	getRangeValue()	Returns Range value
double	getSkewness()	Returns Skewness value
double	getVariance()	Returns Variance value

Methods inherited from class Object

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

Constructor Details

UnivariateStatistics

public UnivariateStatistics(Observation[] list,
 int nVar)

Constructor: calculates univariate statistics using list observation array for the nVar-th variable

Parameters:

list - list of observation sorted by nVar-th variable

nVar - variable used to calculate univariate statistics

Method Details

getDevStd

public double getDevStd()

Returns Deviation Standard value

Returns:

Deviation Standard value

getKurtosis

public double getKurtosis()

Return Kurtosis value

Returns:

Kurtosis value

getMean

public double getMean()

Returns Mean value

Returns:

Mean value

getQuantili

public int[] getQuantili()

Returns Quantili list

Returns:

Quantili list

getSkewness

public double getSkewness()

Returns Skewness value

Returns:

Skewness value

getVariance

public double getVariance()

Returns Variance value

Returns:

Variance value

getMedian

public double getMedian()

Returns Median Value

Returns:

Median Value

getMaxValue

public double getMaxValue()

Returns Maximum value

Returns:

Maximum value

getNumObs

public int getNumObs()

REturns number of observations

Returns:

number of observations

getMinValue

public double getMinValue()

Returns Minimum value

Returns:

Minimum value

getRangeValue

public double getRangeValue()

Returns Range value

Returns:

Range value

getDimInt1000

public double getDimInt1000()

Restituisce la dimensione dell'intervallo per i grafici

Returns: