Uses of Class
adams.data.timeseries.Timeseries

Packages that use Timeseries

Package	Description
adams.data.baseline
adams.data.filter
adams.data.io.input
adams.data.io.output
adams.data.outlier
adams.data.statistics
adams.data.timeseries
adams.flow.container
adams.flow.source
adams.flow.transformer
adams.flow.transformer.timeseriessplit
adams.gui.chooser
adams.gui.visualization.timeseries
adams.gui.visualization.timeseries.containerlistpopup
adams.gui.visualization.timeseries.plotpopup
weka.classifiers.timeseries

Uses of Timeseries in adams.data.baseline

Methods in adams.data.baseline with parameters of type Timeseries

Modifier and Type	Method	Description
protected DataPoint	TimeseriesSavitzkyGolayBased.getOriginalPoint(DataPoint newPoint, Timeseries original)	Retrieves the data point from the original signal that corresponds to the provided new one.

Uses of Timeseries in adams.data.filter

Methods in adams.data.filter that return Timeseries

Modifier and Type	Method	Description
protected Timeseries	TimeseriesChangeResolution.processData(Timeseries data)	Performs the actual filtering.
protected Timeseries	TimeseriesEquiDistance.processData(Timeseries data)	Performs the actual filtering.
protected Timeseries	TimeseriesResetTimestamps.processData(Timeseries data)	Performs the actual filtering.
protected Timeseries	TimeseriesRound.processData(Timeseries data)	Performs the actual filtering.
protected Timeseries	TimeseriesRowNorm.processData(Timeseries data)	Performs the actual filtering.
protected Timeseries	TimeseriesSetStart.processData(Timeseries data)	Performs the actual filtering.
protected Timeseries	TimeseriesShiftTimestamps.processData(Timeseries data)	Performs the actual filtering.
protected Timeseries	TimeseriesShiftValues.processData(Timeseries data)	Performs the actual filtering.
protected Timeseries	TimeseriesValueSubset.processData(Timeseries data)	Performs the actual filtering.
protected Timeseries	TimeseriesWindow.processData(Timeseries data)	Performs the actual filtering.

Methods in adams.data.filter with parameters of type Timeseries

Modifier and Type	Method	Description
protected void	TimeseriesValueSubset.checkData(Timeseries data)	Ensures that min/max are sensible.
protected double	TimeseriesSAX.getMeanDeltaX(Timeseries data)	Computes the mean difference between data points on the X axis.
protected Timeseries	TimeseriesChangeResolution.processData(Timeseries data)	Performs the actual filtering.
protected Timeseries	TimeseriesEquiDistance.processData(Timeseries data)	Performs the actual filtering.
protected Timeseries	TimeseriesResetTimestamps.processData(Timeseries data)	Performs the actual filtering.
protected Timeseries	TimeseriesRound.processData(Timeseries data)	Performs the actual filtering.
protected Timeseries	TimeseriesRowNorm.processData(Timeseries data)	Performs the actual filtering.
protected Timeseries	TimeseriesSetStart.processData(Timeseries data)	Performs the actual filtering.
protected Timeseries	TimeseriesShiftTimestamps.processData(Timeseries data)	Performs the actual filtering.
protected Timeseries	TimeseriesShiftValues.processData(Timeseries data)	Performs the actual filtering.
protected Timeseries	TimeseriesValueSubset.processData(Timeseries data)	Performs the actual filtering.
protected Timeseries	TimeseriesWindow.processData(Timeseries data)	Performs the actual filtering.

Uses of Timeseries in adams.data.io.input

Fields in adams.data.io.input declared as Timeseries

Modifier and Type	Field	Description
protected Timeseries	SpreadSheetTimeseriesReader.m_Timeseries	the current container.

Uses of Timeseries in adams.data.io.output

Method parameters in adams.data.io.output with type arguments of type Timeseries

Modifier and Type	Method	Description
protected boolean	SimpleTimeseriesWriter.writeData(List<Timeseries> data)	Performs the actual writing.
protected boolean	SpreadSheetTimeseriesWriter.writeData(List<Timeseries> data)	Performs the actual writing.

Uses of Timeseries in adams.data.outlier

Methods in adams.data.outlier with parameters of type Timeseries

Modifier and Type	Method	Description
protected void	TimeseriesRange.checkData(Timeseries data)	The default implementation only checks whether there is any data set.
protected void	TimeseriesTimestampCheck.checkData(Timeseries data)	The default implementation only checks whether there is any data set.
protected List<String>	TimeseriesMinPoints.processData(Timeseries data)	Performs the actual detection.
protected List<String>	TimeseriesRange.processData(Timeseries data)	Performs the actual detection.
protected List<String>	TimeseriesTimestampCheck.processData(Timeseries data)	Performs the actual detection.

Uses of Timeseries in adams.data.statistics

Classes in adams.data.statistics with type parameters of type Timeseries

Modifier and Type	Class	Description
class	TimeseriesStatistic<T extends Timeseries>	Statistical information specific to a Timeseries.

Uses of Timeseries in adams.data.timeseries

Classes in adams.data.timeseries with type parameters of type Timeseries

Modifier and Type	Class	Description
class	AbstractTimeseriesFeatureGenerator<T extends Timeseries>	Abstract base class for Timeseries feature generation.

Methods in adams.data.timeseries that return Timeseries

Modifier and Type	Method	Description
Timeseries	Timeseries.getHeader()	Returns a timeseries with just the header information, but no data points.
protected static Timeseries	TimeseriesUtils.getHeader(List<TimeseriesPoint> points)	Creates a header based on the given timeseries points.
static Timeseries	TimeseriesUtils.intersect(Timeseries a, Timeseries b)	Returns a timeseries that contains all the points that are in "a" and in "b".
static Timeseries	TimeseriesUtils.merge(Timeseries s1, Timeseries s2)	Merges the two timeseries ranges.
static Timeseries	TimeseriesUtils.merge(List<Timeseries> list)	Merges the given timeseries.
static Timeseries	TimeseriesUtils.minus(Timeseries a, Timeseries b)	Returns a timeseries that contains all the points that are in "a" but not in "b".
static Timeseries	TimeseriesUtils.union(Timeseries a, Timeseries b)	Returns the union of the two timeseries "a" and "b".

Methods in adams.data.timeseries with parameters of type Timeseries

Modifier and Type	Method	Description
protected static void	TimeseriesUtils.add(Hashtable<Date,TimeseriesPoint> pool, Timeseries s)	Merges the given with the current data pool.
HeaderDefinition	AddMetaData.createHeader(Timeseries timeseries)	Creates the header from a template timeseries.
HeaderDefinition	FixedNumFeatures.createHeader(Timeseries timeseries)	Creates the header from a template timeseries.
HeaderDefinition	Values.createHeader(Timeseries timeseries)	Creates the header from a template timeseries.
List<Object>[]	AddMetaData.generateRows(Timeseries timeseries)	Performs the actual feature genration.
List<Object>[]	FixedNumFeatures.generateRows(Timeseries timeseries)	Performs the actual feature genration.
List<Object>[]	Values.generateRows(Timeseries timeseries)	Performs the actual feature genration.
static Timeseries	TimeseriesUtils.intersect(Timeseries a, Timeseries b)	Returns a timeseries that contains all the points that are in "a" and in "b".
static Timeseries	TimeseriesUtils.merge(Timeseries s1, Timeseries s2)	Merges the two timeseries ranges.
static Timeseries	TimeseriesUtils.minus(Timeseries a, Timeseries b)	Returns a timeseries that contains all the points that are in "a" but not in "b".
static double[]	TimeseriesUtils.toDoubleArray(Timeseries c)	Returns the amplitudes as double array.
static Timeseries	TimeseriesUtils.union(Timeseries a, Timeseries b)	Returns the union of the two timeseries "a" and "b".

Method parameters in adams.data.timeseries with type arguments of type Timeseries

Modifier and Type	Method	Description
static Timeseries	TimeseriesUtils.merge(List<Timeseries> list)	Merges the given timeseries.

Uses of Timeseries in adams.flow.container

Constructors in adams.flow.container with parameters of type Timeseries

Constructor	Description
TimeseriesFilterContainer(Object input, Filter filter, Timeseries data)	Initializes the container with the filter and the associated data.

Uses of Timeseries in adams.flow.source

Fields in adams.flow.source declared as Timeseries

Modifier and Type	Field	Description
protected Timeseries	TimeseriesDbReader.m_Timeseries	the current container.

Methods in adams.flow.source that return Timeseries

Modifier and Type	Method	Description
protected Timeseries	TimeseriesDbReader.read()	Completes and returns the last timeseries that was started.

Uses of Timeseries in adams.flow.transformer

Methods in adams.flow.transformer that return Timeseries

Modifier and Type	Method	Description
protected Timeseries	TimeseriesDbReader.read(ResultSet rs)	Completes and returns the last timeseries that was started.

Methods in adams.flow.transformer that return types with arguments of type Timeseries

Modifier and Type	Method	Description
protected DataContainerWriter<Timeseries>	TimeseriesFileWriter.getDefaultWriter()	Returns the default writer to use.

Methods in adams.flow.transformer with parameters of type Timeseries

Modifier and Type	Method	Description
protected void	TimeseriesAdd.add(Timeseries stored, Timeseries current)	Appends the current data container to the stored one.
protected void	TimeseriesAppend.append(Timeseries stored, Timeseries current)	Appends the current data container to the stored one.

Uses of Timeseries in adams.flow.transformer.timeseriessplit

Methods in adams.flow.transformer.timeseriessplit that return Timeseries

Modifier and Type	Method	Description
protected Timeseries[]	AbstractSplitOnDate.doSplit(Timeseries series, Date date)	Performs the actual split on the date.
protected abstract Timeseries[]	AbstractTimeseriesSplitter.doSplit(Timeseries series)	Performs the actual split.
protected Timeseries[]	FixedDate.doSplit(Timeseries series)	Performs the actual split.
protected Timeseries[]	FixedLengthSegments.doSplit(Timeseries series)	Performs the actual split.
protected Timeseries[]	FixedNumSegments.doSplit(Timeseries series)	Performs the actual split.
protected Timeseries[]	PassThrough.doSplit(Timeseries series)	Performs the actual split.
protected Timeseries[]	ReportDate.doSplit(Timeseries series)	Performs the actual split.
protected Timeseries[]	AbstractTimeseriesSplitter.postProcess(Timeseries[] segments)	Post-processes the segments.
Timeseries[]	AbstractTimeseriesSplitter.split(Timeseries series)	Splits the timeseries.

Methods in adams.flow.transformer.timeseriessplit with parameters of type Timeseries

Modifier and Type	Method	Description
protected void	AbstractTimeseriesSplitter.check(Timeseries series)	Performs checks on the timeseries that is to be split.
protected void	ReportDate.check(Timeseries series)	Performs checks on the timeseries that is to be split.
protected Timeseries[]	AbstractSplitOnDate.doSplit(Timeseries series, Date date)	Performs the actual split on the date.
protected abstract Timeseries[]	AbstractTimeseriesSplitter.doSplit(Timeseries series)	Performs the actual split.
protected Timeseries[]	FixedDate.doSplit(Timeseries series)	Performs the actual split.
protected Timeseries[]	FixedLengthSegments.doSplit(Timeseries series)	Performs the actual split.
protected Timeseries[]	FixedNumSegments.doSplit(Timeseries series)	Performs the actual split.
protected Timeseries[]	PassThrough.doSplit(Timeseries series)	Performs the actual split.
protected Timeseries[]	ReportDate.doSplit(Timeseries series)	Performs the actual split.
protected Timeseries[]	AbstractTimeseriesSplitter.postProcess(Timeseries[] segments)	Post-processes the segments.
Timeseries[]	AbstractTimeseriesSplitter.split(Timeseries series)	Splits the timeseries.

Uses of Timeseries in adams.gui.chooser

Methods in adams.gui.chooser that return types with arguments of type Timeseries

Modifier and Type	Method	Description
protected DataContainerReader<Timeseries>	TimeseriesFileChooser.getDefaultReader()	Returns the default reader.
protected DataContainerWriter<Timeseries>	TimeseriesFileChooser.getDefaultWriter()	Returns the default writer.

Uses of Timeseries in adams.gui.visualization.timeseries

Classes in adams.gui.visualization.timeseries with type parameters of type Timeseries

Modifier and Type	Class	Description
class	TimeseriesPanel<T extends Timeseries,M extends TimeseriesContainerManager<C>,C extends TimeseriesContainer>	Special panel for displaying the spectral data.

Fields in adams.gui.visualization.timeseries with type parameters of type Timeseries

Modifier and Type	Field	Description
protected Filter<Timeseries>	TimeseriesExplorer.m_CurrentFilter	the current filter.

Methods in adams.gui.visualization.timeseries that return Timeseries

Modifier and Type	Method	Description
Timeseries	TimeseriesContainer.getData()	Returns the stored timeseries.
Timeseries[]	TimeseriesPanel.getSelectedSeries()	Returns the selected spectra.

Methods in adams.gui.visualization.timeseries with parameters of type Timeseries

Modifier and Type	Method	Description
protected void	TimeseriesPaintlet.drawData(Graphics g, Timeseries data, Color color, TimeseriesPaintlet.MarkerShape marker)	Draws the data with the given color.
void	TimeseriesContainer.setData(Timeseries value)	Sets the timeseries.

Method parameters in adams.gui.visualization.timeseries with type arguments of type Timeseries

Modifier and Type	Method	Description
void	TimeseriesExplorer.filter(FilterEvent<Timeseries> e)	Filters the data.

Constructors in adams.gui.visualization.timeseries with parameters of type Timeseries

Constructor	Description
TimeseriesContainer(TimeseriesContainerManager manager, Timeseries data)	Initializes the container.

Uses of Timeseries in adams.gui.visualization.timeseries.containerlistpopup

Method parameters in adams.gui.visualization.timeseries.containerlistpopup with type arguments of type Timeseries

Modifier and Type	Method	Description
void	Information.customize(AbstractContainerListPopupCustomizer.Context<Timeseries,TimeseriesContainerManager,TimeseriesContainer> context, JPopupMenu menu)	Returns a popup menu for the table of the container list.
void	Reports.customize(AbstractContainerListPopupCustomizer.Context<Timeseries,TimeseriesContainerManager,TimeseriesContainer> context, JPopupMenu menu)	Returns a popup menu for the table of the container list.
void	ViewAsTable.customize(AbstractContainerListPopupCustomizer.Context<Timeseries,TimeseriesContainerManager,TimeseriesContainer> context, JPopupMenu menu)	Returns a popup menu for the table of the container list.
boolean	Information.handles(DataContainerPanelWithContainerList<Timeseries,TimeseriesContainerManager,TimeseriesContainer> panel)	Checks whether this action can handle the panel.
boolean	Reports.handles(DataContainerPanelWithContainerList<Timeseries,TimeseriesContainerManager,TimeseriesContainer> panel)	Checks whether this action can handle the panel.
boolean	ViewAsTable.handles(DataContainerPanelWithContainerList<Timeseries,TimeseriesContainerManager,TimeseriesContainer> panel)	Checks whether this action can handle the panel.

Uses of Timeseries in adams.gui.visualization.timeseries.plotpopup

Method parameters in adams.gui.visualization.timeseries.plotpopup with type arguments of type Timeseries

Modifier and Type	Method	Description
void	Adjust.customize(DataContainerPanelWithContainerList<Timeseries,TimeseriesContainerManager,TimeseriesContainer> panel, MouseEvent e, JPopupMenu menu)	Returns a popup menu for the table of the container list.
void	Statistics.customize(DataContainerPanelWithContainerList<Timeseries,TimeseriesContainerManager,TimeseriesContainer> panel, MouseEvent e, JPopupMenu menu)	Returns a popup menu for the table of the container list.
boolean	Adjust.handles(DataContainerPanelWithContainerList<Timeseries,TimeseriesContainerManager,TimeseriesContainer> panel)	Checks whether this action can handle the panel.
boolean	Statistics.handles(DataContainerPanelWithContainerList<Timeseries,TimeseriesContainerManager,TimeseriesContainer> panel)	Checks whether this action can handle the panel.

Uses of Timeseries in weka.classifiers.timeseries

Methods in weka.classifiers.timeseries that return Timeseries

Modifier and Type	Method	Description
protected Timeseries	BaselineAdjustedForecaster.extractBaseline(Timeseries raw, Timeseries corrected)	Subtracts the corrected signal from the original one to obtain the baseline.
protected Timeseries	BaselineAdjustedForecaster.instancesToTimeseries(weka.core.Instances insts)	Turns Weka Instances into a Timeseries.

Methods in weka.classifiers.timeseries with parameters of type Timeseries

Modifier and Type	Method	Description
protected Timeseries	BaselineAdjustedForecaster.extractBaseline(Timeseries raw, Timeseries corrected)	Subtracts the corrected signal from the original one to obtain the baseline.
protected weka.core.Instances	BaselineAdjustedForecaster.timeseriesToInstances(Timeseries series)	Turns a timeseries back into Weka Instances.