| Package | Description |
|---|---|
| de.gsi.dataset.spi | |
| de.gsi.dataset.testdata.spi | |
| de.gsi.dataset.utils |
| Modifier and Type | Class and Description |
|---|---|
class |
AbstractErrorDataSet<D extends AbstractDataSet<D>>
The abstract implementation of DataSet and DataSetError interface that
provides implementation of some methods.
|
| Modifier and Type | Class and Description |
|---|---|
class |
AbstractDataSet3D<D extends AbstractDataSet3D<D>>
An abstract implementation of
DataSet3D interface. |
class |
AbstractErrorDataSet<D extends AbstractDataSet<D>>
The abstract implementation of DataSet and DataSetError interface that
provides implementation of some methods.
|
class |
AbstractHistogram |
class |
AveragingDataSet
TODO: Change to ErrorDataSet and calculate standard deviation.
|
class |
CircularDoubleErrorDataSet |
class |
DefaultDataSet
Implementation of the
DataSet interface which keeps the x,y
values in an observable list. |
class |
DefaultErrorDataSet
Default implementation of
DataSet and DataSetError interface. |
class |
DoubleDataSet
Implementation of the
DataSet interface which stores x,y values
in two separate arrays. |
class |
DoubleDataSet3D
Implementation of a AbstractDataSet3D backed by arrays.
|
class |
DoubleErrorDataSet
Implementation of the
DataSetError interface which stores x,y, +eyn, -eyn values
in separate double arrays. |
class |
FifoDoubleErrorDataSet |
class |
FragmentedDataSet |
class |
Histogram
Class implements simple one dimensional binned histogram backed internally by double arrays
|
class |
Histogram2 |
class |
LabelledMarkerDataSet
Minor extension to
DefaultDataSet to easier handle labelled
markers. |
class |
LimitedIndexedTreeDataSet
DataSet implementation based on a sorted indexed TreeDataSets.
|
class |
RollingDataSet |
class |
WrappedDataSet
A data set implementation which wraps another data set.
|
| Modifier and Type | Method and Description |
|---|---|
AbstractDataSet<?> |
FragmentedDataSet.shallowCopy()
Deprecated.
|
| Modifier and Type | Class and Description |
|---|---|
class |
AbstractTestFunction<D extends AbstractTestFunction<D>>
abstract error data set for graphical testing purposes
|
class |
CosineFunction
abstract error data set for graphical testing purposes
this implementation generates a cosine function
|
class |
GaussFunction
abstract error data set for graphical testing purposes
this implementation generates a Gaussian function
|
class |
RandomStepFunction
abstract error data set for graphical testing purposes this implementation
generates a random step function
|
class |
RandomWalkFunction
abstract error data set for graphical testing purposes
this implementation generates a random walk (Brownian noise) function.
|
class |
SincFunction
abstract error data set for graphical testing purposes this implementation
generates a sinc function
|
class |
SineFunction
abstract error data set for graphical testing purposes
this implementation generates a sine function
|
class |
SingleOutlierFunction
abstract error data set for graphical testing purposes this implementation
generates a function with a single random outlier
|
| Modifier and Type | Method and Description |
|---|---|
static AbstractDataSet<?> |
DataSetUtils.copyDataSet(DataSet ds)
perform and return a deep copy of the data set
|
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