Package adams.data.statistics
Class ArrayStandardScores<T extends Number>
- java.lang.Object
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- adams.core.logging.LoggingObject
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- adams.core.logging.CustomLoggingLevelObject
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- adams.core.option.AbstractOptionHandler
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- adams.data.statistics.AbstractArrayStatistic<T>
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- adams.data.statistics.AbstractOptionalSampleArrayStatistic<T>
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- adams.data.statistics.ArrayStandardScores<T>
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- Type Parameters:
T- the data to process
- All Implemented Interfaces:
AdditionalInformationHandler,Destroyable,GlobalInfoSupporter,LoggingLevelHandler,LoggingSupporter,OptionHandler,ShallowCopySupporter<AbstractArrayStatistic>,SizeOfHandler,EqualLengthArrayStatistic,OptionalSampleArrayStatistic,Serializable
public class ArrayStandardScores<T extends Number> extends AbstractOptionalSampleArrayStatistic<T> implements EqualLengthArrayStatistic
Calculates the standard scores (or z scores) of the provided arrays.The arrays must be numeric, of course.
Valid options are:
-always-first-stats (property: useAlwaysFirstStats)
- Author:
- fracpete (fracpete at waikato dot ac dot nz)
- See Also:
- Serialized Form
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Nested Class Summary
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Nested classes/interfaces inherited from class adams.data.statistics.AbstractArrayStatistic
AbstractArrayStatistic.StatisticContainer<T extends Serializable>
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Field Summary
Fields Modifier and Type Field Description protected booleanm_UseAlwaysFirstStatswhether to always use the mean/stdev from the first array.-
Fields inherited from class adams.data.statistics.AbstractOptionalSampleArrayStatistic
m_IsSample
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Fields inherited from class adams.data.statistics.AbstractArrayStatistic
m_Data
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Fields inherited from class adams.core.option.AbstractOptionHandler
m_OptionManager
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Fields inherited from class adams.core.logging.LoggingObject
m_Logger, m_LoggingIsEnabled, m_LoggingLevel
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Constructor Summary
Constructors Constructor Description ArrayStandardScores()
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Method Summary
All Methods Instance Methods Concrete Methods Modifier and Type Method Description voiddefineOptions()Adds options to the internal list of options.protected AbstractArrayStatistic.StatisticContainerdoCalculate()Generates the actual result.intgetLength()Returns the length of the stored arrays.intgetMax()Returns the maximum number of arrays that need to be presentintgetMin()Returns the minimum number of arrays that need to be presentbooleangetUseAlwaysFirstStats()Returns whether to always use the mean/stdev of the first array.StringglobalInfo()Returns a string describing the object.voidsetUseAlwaysFirstStats(boolean value)Sets whether to always use the mean/stdev of the first array.StringuseAlwaysFirstStatsTipText()Returns the tip text for this property.-
Methods inherited from class adams.data.statistics.AbstractOptionalSampleArrayStatistic
getIsSample, isSampleTipText, setIsSample
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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
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Methods inherited from class adams.core.option.AbstractOptionHandler
cleanUpOptions, destroy, finishInit, getDefaultLoggingLevel, getOptionManager, loggingLevelTipText, newOptionManager, reset, setLoggingLevel, toCommandLine
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Methods inherited from class adams.core.logging.LoggingObject
configureLogger, getLogger, getLoggingLevel, initializeLogging, isLoggingEnabled, sizeOf
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Methods inherited from class java.lang.Object
clone, equals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, wait
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Methods inherited from interface adams.core.logging.LoggingLevelHandler
getLoggingLevel
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Method Detail
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globalInfo
public String globalInfo()
Returns a string describing the object.- Specified by:
globalInfoin interfaceGlobalInfoSupporter- Specified by:
globalInfoin classAbstractOptionHandler- Returns:
- a description suitable for displaying in the gui
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defineOptions
public void defineOptions()
Adds options to the internal list of options.- Specified by:
defineOptionsin interfaceOptionHandler- Overrides:
defineOptionsin classAbstractOptionalSampleArrayStatistic<T extends Number>
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setUseAlwaysFirstStats
public void setUseAlwaysFirstStats(boolean value)
Sets whether to always use the mean/stdev of the first array.- Parameters:
value- if true then the mean/stdev of the first array is always used
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getUseAlwaysFirstStats
public boolean getUseAlwaysFirstStats()
Returns whether to always use the mean/stdev of the first array.- Returns:
- true if the mean/stdev of first array is always used
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useAlwaysFirstStatsTipText
public String useAlwaysFirstStatsTipText()
Returns the tip text for this property.- Returns:
- tip text for this property suitable for displaying in the GUI or for listing the options.
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getLength
public int getLength()
Returns the length of the stored arrays.- Specified by:
getLengthin interfaceEqualLengthArrayStatistic- Returns:
- the length of the arrays, -1 if none stored
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getMin
public int getMin()
Returns the minimum number of arrays that need to be present. -1 for unbounded.- Specified by:
getMinin classAbstractArrayStatistic<T extends Number>- Returns:
- the minimum number, -1 for unbounded
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getMax
public int getMax()
Returns the maximum number of arrays that need to be present. -1 for unbounded.- Specified by:
getMaxin classAbstractArrayStatistic<T extends Number>- Returns:
- the maximum number, -1 for unbounded
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doCalculate
protected AbstractArrayStatistic.StatisticContainer doCalculate()
Generates the actual result.- Specified by:
doCalculatein classAbstractArrayStatistic<T extends Number>- Returns:
- the generated result
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