Package adams.data.heatmapfeatures
Class StandardDeviation
- 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.heatmapfeatures.AbstractHeatmapFeatureGenerator
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- adams.data.heatmapfeatures.AbstractHeatmapFeatureGeneratorWithSkippableMissingValues
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- adams.data.heatmapfeatures.StandardDeviation
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- All Implemented Interfaces:
adams.core.CleanUpHandler
,adams.core.Destroyable
,adams.core.GlobalInfoSupporter
,adams.core.logging.LoggingLevelHandler
,adams.core.logging.LoggingSupporter
,adams.core.option.OptionHandler
,adams.core.QuickInfoSupporter
,adams.core.ShallowCopySupporter<AbstractHeatmapFeatureGenerator>
,adams.core.SizeOfHandler
,Serializable
,Comparable
public class StandardDeviation extends AbstractHeatmapFeatureGeneratorWithSkippableMissingValues
Determines the standard deviation.
-logging-level <OFF|SEVERE|WARNING|INFO|CONFIG|FINE|FINER|FINEST> (property: loggingLevel) The logging level for outputting errors and debugging output. default: WARNING
-converter <adams.data.featureconverter.AbstractFeatureConverter> (property: converter) The feature converter to use to produce the output data. default: adams.data.featureconverter.SpreadSheet -data-row-type adams.data.spreadsheet.DenseDataRow -spreadsheet-type adams.data.spreadsheet.SpreadSheet
-field <adams.data.report.Field> [-field ...] (property: fields) The fields to add to the output. default:
-notes <adams.core.base.BaseString> [-notes ...] (property: notes) The notes to add as attributes to the generated data, eg 'PROCESS INFORMATION' . default:
-skip-missing <boolean> (property: skipMissing) If enabled, missing values get skipped when collecting the values for the histogram. default: false
-is-sample <boolean> (property: isSample) If set to true, the arrays are treated as samples and not as populations. default: false
- Version:
- $Revision: 9598 $
- Author:
- fracpete (fracpete at waikato dot ac dot nz), Dale (dale at cs dot waikato dot ac dot nz)
- See Also:
- Serialized Form
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Field Summary
Fields Modifier and Type Field Description protected boolean
m_IsSample
whether the arrays are samples or populations.-
Fields inherited from class adams.data.heatmapfeatures.AbstractHeatmapFeatureGeneratorWithSkippableMissingValues
m_SkipMissing
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Fields inherited from class adams.data.heatmapfeatures.AbstractHeatmapFeatureGenerator
m_Converter, m_Fields, m_Notes
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Constructor Summary
Constructors Constructor Description StandardDeviation()
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Method Summary
All Methods Instance Methods Concrete Methods Modifier and Type Method Description adams.data.featureconverter.HeaderDefinition
createHeader(Heatmap map)
Creates the header from a template heatmap.void
defineOptions()
Adds options to the internal list of options.List<Object>[]
generateRows(Heatmap map)
Performs the actual feature generation.boolean
getIsSample()
Returns whether the arrays represent samples instead of populations.String
globalInfo()
Returns a string describing the object.String
isSampleTipText()
Returns the tip text for this property.void
setIsSample(boolean value)
Sets whether the arrays represent samples instead of populations.-
Methods inherited from class adams.data.heatmapfeatures.AbstractHeatmapFeatureGeneratorWithSkippableMissingValues
getSkipMissing, setSkipMissing, skipMissingTipText
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Methods inherited from class adams.data.heatmapfeatures.AbstractHeatmapFeatureGenerator
checkData, cleanUp, compareTo, converterTipText, destroy, equals, fieldsTipText, generate, getConverter, getDatasetFormat, getFields, getNotes, getQuickInfo, getRowFormat, notesTipText, postProcessHeader, postProcessRow, postProcessRows, reset, setConverter, setFields, setNotes, shallowCopy, shallowCopy
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Methods inherited from class adams.core.option.AbstractOptionHandler
cleanUpOptions, finishInit, getDefaultLoggingLevel, getOptionManager, initialize, loggingLevelTipText, newOptionManager, setLoggingLevel, toCommandLine, toString
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Methods inherited from class adams.core.logging.LoggingObject
configureLogger, getLogger, getLoggingLevel, initializeLogging, isLoggingEnabled, sizeOf
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Method Detail
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globalInfo
public String globalInfo()
Returns a string describing the object.- Specified by:
globalInfo
in interfaceadams.core.GlobalInfoSupporter
- Specified by:
globalInfo
in classadams.core.option.AbstractOptionHandler
- 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:
defineOptions
in interfaceadams.core.option.OptionHandler
- Overrides:
defineOptions
in classAbstractHeatmapFeatureGeneratorWithSkippableMissingValues
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setIsSample
public void setIsSample(boolean value)
Sets whether the arrays represent samples instead of populations.- Parameters:
value
- true if arrays are samples and not populations
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getIsSample
public boolean getIsSample()
Returns whether the arrays represent samples instead of populations.- Returns:
- true if arrays are samples and not populations
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isSampleTipText
public String isSampleTipText()
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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createHeader
public adams.data.featureconverter.HeaderDefinition createHeader(Heatmap map)
Creates the header from a template heatmap.- Specified by:
createHeader
in classAbstractHeatmapFeatureGenerator
- Parameters:
map
- the heatmap to act as a template- Returns:
- the generated header
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generateRows
public List<Object>[] generateRows(Heatmap map)
Performs the actual feature generation.- Specified by:
generateRows
in classAbstractHeatmapFeatureGenerator
- Parameters:
map
- the heatmap to process- Returns:
- the generated features
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