de.gsi.dataset.spi

Class AveragingDataSet

java.lang.Object

de.gsi.dataset.spi.AbstractStylable<D>

de.gsi.dataset.spi.AbstractDataSet<AveragingDataSet>

de.gsi.dataset.spi.AveragingDataSet

All Implemented Interfaces:

DataSet, DataSet2D, DataSetMetaData, EventSource, Serializable

public class AveragingDataSet
extends AbstractDataSet<AveragingDataSet>
implements DataSet2D

TODO: Change to ErrorDataSet and calculate standard deviation.

Author:

braeun

See Also:

Serialized Form

Field Summary

Fields inherited from interface de.gsi.dataset.DataSet

DIM_X, DIM_Y, DIM_Z

Fields inherited from interface de.gsi.dataset.DataSetMetaData

TAG_GAIN_RANGE, TAG_OVERSHOOT, TAG_UNDERSHOOT

Constructor Summary

Constructors

Constructor and Description
AveragingDataSet(String name)
AveragingDataSet(String name, int fuzzyCount)

Method Summary

Modifier and Type	Method and Description
void	add(DataSet2D ds)
void	clear() clear all data
double	get(int dimIndex, int index) Gets the x value of the data point with the index i
int	getAverageCount()
int	getAverageSize()
int	getDataCount(int dimIndex) Get the number of data points in the data set for a specific dimension.
int	getFuzzyCount() Gets the fuzzy count.
String	getStyle(int index) A string representation of the CSS style associated with this specific DataSet data point.
int	getXIndex(double x) Gets the index of the data point closest to the given x coordinate.
double[]	getYValues()
void	setAverageSize(int avgCount)
void	setFuzzyCount(int fuzzyCount) Sets the fuzzy count.

Methods inherited from class de.gsi.dataset.spi.AbstractDataSet

addDataLabel, addDataStyle, autoNotification, binarySearch, clearMetaInfo, equalDataLabels, equalEditConstraints, equalErrorValues, equalMetaData, equals, equals, equalValues, fireInvalidated, getAxisDescriptions, getDataLabel, getDataLabelMap, getDataStyleMap, getDimension, getEditConstraints, getErrorList, getIndex, getInfoList, getMetaInfo, getName, getThis, getWarningList, hashCode, lock, minNeigbourSearchX, recomputeLimits, removeDataLabel, removeStyle, setEditConstraints, setName, toString, updateEventListener

Methods inherited from class de.gsi.dataset.spi.AbstractStylable

getStyle, setStyle

Methods inherited from class java.lang.Object

clone, finalize, getClass, notify, notifyAll, wait, wait, wait

Methods inherited from interface de.gsi.dataset.DataSet2D

getDimension, getValue, getValue, getX, getXValues, getY, getYIndex

Methods inherited from interface de.gsi.dataset.DataSet

getAxisDescription, getAxisDescriptions, getDataCount, getDataLabel, getIndex, getName, getStyle, getValues, lock, recomputeLimits, setStyle

Methods inherited from interface de.gsi.dataset.event.EventSource

addListener, autoNotification, invokeListener, invokeListener, invokeListener, isAutoNotification, removeListener, updateEventListener

Constructor Detail

AveragingDataSet

public AveragingDataSet(String name)

Parameters:

name - data set name

AveragingDataSet

public AveragingDataSet(String name,
                        int fuzzyCount)

Parameters:

name - data set name

fuzzyCount - binning accuracy @see #setFuzzyCount

Method Detail

add

public void add(DataSet2D ds)

Parameters:

ds - new DataSet to be added to average

clear

public void clear()

clear all data

getAverageCount

public int getAverageCount()

Returns:

number of data sets that have been averaged

getAverageSize

public int getAverageSize()

Returns:

number of data sets that are supposed to be averaged

getDataCount

public int getDataCount(int dimIndex)

Description copied from interface: DataSet

Get the number of data points in the data set for a specific dimension.

Specified by:

getDataCount in interface DataSet

Parameters:

dimIndex - the dimension index (ie. '0' equals 'X', '1' equals 'Y')

Returns:

the number of data points

getFuzzyCount

public int getFuzzyCount()

Gets the fuzzy count.

Returns:

fuzzy count

getStyle

public String getStyle(int index)

Description copied from class: AbstractDataSet

A string representation of the CSS style associated with this specific DataSet data point. @see #getStyle()

Specified by:

getStyle in interface DataSet

Overrides:

getStyle in class AbstractDataSet<AveragingDataSet>

Parameters:

index - the index of the specific data point

Returns:

user-specific data set style description (ie. may be set by user)

get

public final double get(int dimIndex,
                        int index)

Description copied from interface: DataSet

Gets the x value of the data point with the index i

Specified by:

get in interface DataSet

Parameters:

dimIndex - the dimension index (ie. '0' equals 'X', '1' equals 'Y')

index - data point index

Returns:

the x value

getXIndex

public int getXIndex(double x)

Description copied from interface: DataSet2D

Gets the index of the data point closest to the given x coordinate. If the x coordinate lies outside the range of the data set, the index of the first/last point is returned.

Specified by:

getXIndex in interface DataSet2D

Parameters:

x - the x position of the data point

Returns:

the index of the data point

getYValues

public double[] getYValues()

Specified by:

getYValues in interface DataSet2D

Returns:

the x value array

setAverageSize

public void setAverageSize(int avgCount)

Parameters:

avgCount - number of data sets that are supposed to be averaged

setFuzzyCount

public void setFuzzyCount(int fuzzyCount)

Sets the fuzzy count. The fuzzy count allows for a mismatch in the data count of the datasets added to the average. Datasets will be added if the size difference is less or equal to the fuzzy count. In case of a mismatch in size, the longer dataset will be truncated to the shorter one.

Parameters:

fuzzyCount - the fuzzy count