Package de.gsi.dataset.testdata.spi

Class GaussFunction

java.lang.Object

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

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

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

de.gsi.dataset.testdata.spi.AbstractTestFunction<GaussFunction>

de.gsi.dataset.testdata.spi.GaussFunction

All Implemented Interfaces:

DataSet, DataSetError, DataSetMetaData, EventSource, TestDataSet<GaussFunction>

public class GaussFunction
extends AbstractTestFunction<GaussFunction>
implements DataSetError

abstract error data set for graphical testing purposes this implementation generates a Gaussian function

Author:

rstein

Nested Class Summary

Nested classes/interfaces inherited from interface de.gsi.dataset.DataSetError

DataSetError.ErrorType

Field Summary

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

dataLabels, dataStyles, editConstraints, lock, metaInfoMap, name, updateListeners, xRange, yRange

Fields inherited from interface de.gsi.dataset.DataSetMetaData

TAG_GAIN_RANGE, TAG_OVERSHOOT, TAG_UNDERSHOOT

Constructor Summary

Constructors

Constructor	Description
GaussFunction(java.lang.String name, int count)

Method Summary

Modifier and Type	Method	Description
static double	gauss(double x)
static double	gauss(double x, double mu, double sigma)
double[]	generateY(int count)	generate test data set

Methods inherited from class de.gsi.dataset.testdata.spi.AbstractTestFunction

generateX, getDataCount, getErrorType, getStyle, getX, getXErrorNegative, getXErrorPositive, getY, getYErrorNegative, getYErrorPositive, update

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

computeLimits, fireInvalidated, getThis, lock, setErrorType, unlock

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

addDataLabel, addDataStyle, binarySearchX, binarySearchY, getDataCount, getDataLabel, getDefaultDataLabel, getEditConstraints, getErrorList, getInfoList, getMetaInfo, getName, getUndefValue, getWarningList, getXIndex, getXMax, getXMin, getXRange, getYIndex, getYMax, getYMin, getYRange, isAutoNotification, minNeigbourSearchX, removeDataLabel, removeStyle, setAutoNotifaction, setEditConstraints, setName, toString, updateEventListener

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

getStyle, setStyle

Methods inherited from class java.lang.Object

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

Methods inherited from interface de.gsi.dataset.DataSet

getDataCount, getDataCount, getDataLabel, getName, getStyle, getStyle, getUndefValue, getValue, getX, getXIndex, getXMax, getXMin, getXValues, getY, getYIndex, getYMax, getYMin, getYValues, isAutoNotification, lock, setAutoNotifaction, setStyle, unlock

Methods inherited from interface de.gsi.dataset.DataSetError

getErrorType, getXErrorNegative, getXErrorNegative, getXErrorPositive, getXErrorPositive, getXErrorsNegative, getXErrorsPositive, getYErrorNegative, getYErrorNegative, getYErrorPositive, getYErrorPositive, getYErrorsNegative, getYErrorsPositive

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

addListener, invokeListener, invokeListener, removeListener, updateEventListener

Methods inherited from interface de.gsi.dataset.testdata.TestDataSet

fireInvalidated

Constructor Detail

GaussFunction

public GaussFunction(java.lang.String name,
                     int count)

Parameters:

name - data set name

count - number of samples

Method Detail

gauss

public static double gauss(double x)

Parameters:

x - coordinate X

Returns:

value of Gaussian function at x (mean = 0, sigma = 1)

gauss

public static double gauss(double x,
                           double mu,
                           double sigma)

Parameters:

x - coordiante x

mu - mean value of Gaussian function

sigma - standard deviation of Gaussian function

Returns:

value of Gaussian function at x

generateY

public double[] generateY(int count)

Description copied from interface: TestDataSet

generate test data set

Specified by:

generateY in interface TestDataSet<GaussFunction>

Parameters:

count - number of bins

Returns:

the generated array