com.datumbox.framework.core.statistics.descriptivestatistics

Class CensoredDescriptives

java.lang.Object

com.datumbox.framework.core.statistics.descriptivestatistics.CensoredDescriptives

public class CensoredDescriptives
extends java.lang.Object

This class provides several methods to estimate the descriptive statistics of censored observations.

Field Summary

Fields

Modifier and Type	Field and Description
static java.lang.String	CENSORED_NUMBER_POSTFIX Postfix character used in Censored observations.

Constructor Summary

Constructors

Constructor and Description
CensoredDescriptives()

Method Summary

Modifier and Type	Method and Description
static double	mean(AssociativeArray2D survivalFunction) Calculates simple mean
static double	meanStd(AssociativeArray2D survivalFunction) Calculates Standard Deviation of Mean (Standard Error)
static double	meanVariance(AssociativeArray2D survivalFunction) Calculates the Variance of Mean.
static double	median(AssociativeArray2D survivalFunction) Calculates median.
static AssociativeArray2D	survivalFunction(FlatDataCollection flatDataCollection) Calculates the survivalFunction by processing the flatDataCollection with the censored internalData.

Methods inherited from class java.lang.Object

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

Field Detail

CENSORED_NUMBER_POSTFIX

public static final java.lang.String CENSORED_NUMBER_POSTFIX

Postfix character used in Censored observations.

See Also:

Constant Field Values

Constructor Detail

CensoredDescriptives

public CensoredDescriptives()

Method Detail

survivalFunction

public static AssociativeArray2D survivalFunction(FlatDataCollection flatDataCollection)

Calculates the survivalFunction by processing the flatDataCollection with the censored internalData. The flatDataCollection contains numbers in string format. The Censored entries contain a + symbol at the end of the number.

Parameters:

flatDataCollection -

Returns:

median

public static double median(AssociativeArray2D survivalFunction)

Calculates median.

Parameters:

survivalFunction -

Returns:

mean

public static double mean(AssociativeArray2D survivalFunction)

Calculates simple mean

Parameters:

survivalFunction -

Returns:

meanVariance

public static double meanVariance(AssociativeArray2D survivalFunction)

Calculates the Variance of Mean.

Parameters:

survivalFunction -

Returns:

meanStd

public static double meanStd(AssociativeArray2D survivalFunction)

Calculates Standard Deviation of Mean (Standard Error)

Parameters:

survivalFunction -

Returns: