Package adams.data.statistics

Class ArrayBinning<T extends Number>

java.lang.Object

adams.core.logging.LoggingObject

adams.core.logging.CustomLoggingLevelObject

adams.core.option.AbstractOptionHandler

adams.data.statistics.AbstractArrayStatistic<T>

adams.data.statistics.ArrayBinning<T>

Type Parameters:

T - the data to process

All Implemented Interfaces:

AdditionalInformationHandler, Destroyable, GlobalInfoSupporter, LoggingLevelHandler, LoggingSupporter, OptionHandler, ShallowCopySupporter<AbstractArrayStatistic>, SizeOfHandler, BinningAlgorithmUser, BinPostProcessingUser, EqualLengthArrayStatistic, Serializable

public class ArrayBinning<T extends Number>
extends AbstractArrayStatistic<T>
implements EqualLengthArrayStatistic, BinningAlgorithmUser, BinPostProcessingUser

Bins the data from given array using the specified algorithm and post-processing approach.

-logging-level <OFF|SEVERE|WARNING|INFO|CONFIG|FINE|FINER|FINEST> (property: loggingLevel)
    The logging level for outputting errors and debugging output.
    default: WARNING
 

-normalize <boolean> (property: normalize)
    If set to true the data gets normalized first before getting binned.
    default: false
 

-algorithm <adams.data.binning.algorithm.BinningAlgorithm> (property: algorithm)
    The binning algorithm to apply to the data.
    default: adams.data.binning.algorithm.ManualBinning
 

-post-processing <adams.data.binning.postprocessing.AbstractBinPostProcessing> (property: postProcessing)
    The post-processing to apply to the generated bins.
    default: adams.data.binning.postprocessing.PassThrough
 

-display-ranges <boolean> (property: displayRanges)
    If enabled, the bins get description according to their range, rather than
    a simple index.
    default: false
 

Author:

fracpete (fracpete at waikato dot ac dot nz)

See Also:

Serialized Form

Nested Class Summary

Nested classes/interfaces inherited from class adams.data.statistics.AbstractArrayStatistic

AbstractArrayStatistic.StatisticContainer<T extends Serializable>

Field Summary

Fields

Modifier and Type	Field	Description
protected BinningAlgorithm	m_Algorithm	the binning algorithm.
protected boolean	m_DisplayRanges	whether to use the ranges as bin description.
protected boolean	m_Normalize	whether to normalize the data.
protected BinPostProcessing	m_PostProcessing	the post-processing scheme.

Fields inherited from class adams.data.statistics.AbstractArrayStatistic

m_Data

Fields inherited from class adams.core.option.AbstractOptionHandler

m_OptionManager

Fields inherited from class adams.core.logging.LoggingObject

m_Logger, m_LoggingIsEnabled, m_LoggingLevel

Constructor Summary

Constructors

Constructor	Description
ArrayBinning()

Method Summary

Modifier and Type	Method	Description
String	algorithmTipText()	Returns the tip text for this property.
void	defineOptions()	Adds options to the internal list of options.
String	displayRangesTipText()	Returns the tip text for this property.
protected AbstractArrayStatistic.StatisticContainer	doCalculate()	Generates the actual result.
BinningAlgorithm	getAlgorithm()	Returns the binning algorithm.
boolean	getDisplayRanges()	Returns whether to use the bin ranges as their description rather than a simple index.
int	getLength()	Returns the length of the stored arrays.
int	getMax()	Returns the maximum number of arrays that need to be present.
int	getMin()	Returns the minimum number of arrays that need to be present.
boolean	getNormalize()	Returns whether to normalize the data before generating the histogram.
BinPostProcessing	getPostProcessing()	Returns the post-processing scheme to apply to the bins.
String	globalInfo()	Returns a string describing the object.
String	normalizeTipText()	Returns the tip text for this property.
String	postProcessingTipText()	Returns the tip text for this property.
void	setAlgorithm(BinningAlgorithm value)	Sets the binning algorithm.
void	setDisplayRanges(boolean value)	Sets whether to use the bin ranges as their description rather than a simple index.
void	setNormalize(boolean value)	Sets whether to normalize the data before generating the histogram.
void	setPostProcessing(BinPostProcessing value)	Sets the post-processing scheme to apply to the bins.

Methods inherited from class adams.data.statistics.AbstractArrayStatistic

add, calculate, check, checkEqualLength, clear, forCommandLine, forName, get, getAdditionalInformation, getStatistics, initialize, remove, set, shallowCopy, shallowCopy, size, toString

Methods inherited from class adams.core.option.AbstractOptionHandler

cleanUpOptions, destroy, finishInit, getDefaultLoggingLevel, getOptionManager, loggingLevelTipText, newOptionManager, reset, setLoggingLevel, toCommandLine

Methods inherited from class adams.core.logging.LoggingObject

configureLogger, getLogger, getLoggingLevel, initializeLogging, isLoggingEnabled, sizeOf

Methods inherited from class java.lang.Object

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

Methods inherited from interface adams.core.logging.LoggingLevelHandler

getLoggingLevel

Field Detail

m_Normalize

protected boolean m_Normalize

whether to normalize the data.

m_Algorithm

protected BinningAlgorithm m_Algorithm

the binning algorithm.

m_PostProcessing

protected BinPostProcessing m_PostProcessing

the post-processing scheme.

m_DisplayRanges

protected boolean m_DisplayRanges

whether to use the ranges as bin description.

Constructor Detail

ArrayBinning

public ArrayBinning()

Method Detail

globalInfo

public String globalInfo()

Returns a string describing the object.

Specified by:

globalInfo in interface GlobalInfoSupporter

Specified by:

globalInfo in class AbstractOptionHandler

Returns:

a description suitable for displaying in the gui

defineOptions

public void defineOptions()

Adds options to the internal list of options.

Specified by:

defineOptions in interface OptionHandler

Overrides:

defineOptions in class AbstractOptionHandler

setNormalize

public void setNormalize(boolean value)

Sets whether to normalize the data before generating the histogram.

Parameters:

value - if true the data gets normalized first

getNormalize

public boolean getNormalize()

Returns whether to normalize the data before generating the histogram.

Returns:

true if the data gets normalized first

normalizeTipText

public String normalizeTipText()

Returns the tip text for this property.

Returns:

tip text for this property suitable for displaying in the GUI or for listing the options.

setAlgorithm

public void setAlgorithm(BinningAlgorithm value)

Sets the binning algorithm.

Specified by:

setAlgorithm in interface BinningAlgorithmUser

Parameters:

value - the algorithm

getAlgorithm

public BinningAlgorithm getAlgorithm()

Returns the binning algorithm.

Specified by:

getAlgorithm in interface BinningAlgorithmUser

Returns:

the algorithm

algorithmTipText

public String algorithmTipText()

Returns the tip text for this property.

Specified by:

algorithmTipText in interface BinningAlgorithmUser

Returns:

tip text for this property suitable for displaying in the GUI or for listing the options.

setPostProcessing

public void setPostProcessing(BinPostProcessing value)

Sets the post-processing scheme to apply to the bins.

Specified by:

setPostProcessing in interface BinPostProcessingUser

Parameters:

value - the post-processing

getPostProcessing

public BinPostProcessing getPostProcessing()

Returns the post-processing scheme to apply to the bins.

Specified by:

getPostProcessing in interface BinPostProcessingUser

Returns:

the post-processing

postProcessingTipText

public String postProcessingTipText()

Returns the tip text for this property.

Specified by:

postProcessingTipText in interface BinPostProcessingUser

Returns:

tip text for this property suitable for displaying in the GUI or for listing the options.

setDisplayRanges

public void setDisplayRanges(boolean value)

Sets whether to use the bin ranges as their description rather than a simple index.

Parameters:

value - true if to display the ranges

getDisplayRanges

public boolean getDisplayRanges()

Returns whether to use the bin ranges as their description rather than a simple index.

Returns:

true if to display the ranges

displayRangesTipText

public String displayRangesTipText()

Returns the tip text for this property.

Returns:

tip text for this property suitable for displaying in the GUI or for listing the options.

getLength

public int getLength()

Returns the length of the stored arrays.

Specified by:

getLength in interface EqualLengthArrayStatistic

Returns:

the length of the arrays, -1 if none stored

getMin

public int getMin()

Returns the minimum number of arrays that need to be present. -1 for unbounded.

Specified by:

getMin in class AbstractArrayStatistic<T extends Number>

Returns:

the minimum number, -1 for unbounded

getMax

public int getMax()

Returns the maximum number of arrays that need to be present. -1 for unbounded.

Specified by:

getMax in class AbstractArrayStatistic<T extends Number>

Returns:

the maximum number, -1 for unbounded

doCalculate

protected AbstractArrayStatistic.StatisticContainer doCalculate()

Generates the actual result.

Specified by:

doCalculate in class AbstractArrayStatistic<T extends Number>

Returns:

the generated result