48 #ifndef vtkOrderStatistics_h
49 #define vtkOrderStatistics_h
71 InverseCDFAveragedSteps = 1,
72 NearestObservation = 2
79 vtkSetMacro( NumberOfIntervals,
vtkIdType );
80 vtkGetMacro( NumberOfIntervals,
vtkIdType );
85 vtkSetMacro( QuantileDefinition, QuantileDefinitionType );
86 void SetQuantileDefinition (
int );
92 vtkSetMacro( Quantize,
bool );
93 vtkGetMacro( Quantize,
bool );
99 vtkSetMacro( MaximumHistogramSize,
vtkIdType );
100 vtkGetMacro( MaximumHistogramSize,
vtkIdType );
148 { this->Superclass::Assess( inData, inMeta, outData, 1 ); }
157 AssessFunctor*& dfunc );
virtual void Assess(vtkTable *inData, vtkMultiBlockDataSet *inMeta, vtkTable *outData)
static vtkTableAlgorithm * New()
void PrintSelf(ostream &os, vtkIndent indent)
A class for univariate order statistics.
maintain an unordered list of data objects
virtual void Test(vtkTable *, vtkMultiBlockDataSet *, vtkTable *)=0
a vtkAbstractArray subclass for strings
A atomic type representing the union of many types.
Base class for statistics algorithms.
a simple class to control print indentation
virtual void Learn(vtkTable *, vtkTable *, vtkMultiBlockDataSet *)=0
vtkIdType MaximumHistogramSize
virtual void Derive(vtkMultiBlockDataSet *)=0
A table, which contains similar-typed columns of data.
virtual bool SetParameter(const char *parameter, int index, vtkVariant value)
Composite dataset that organizes datasets into blocks.
virtual void SelectAssessFunctor(vtkTable *outData, vtkDataObject *inMeta, vtkStringArray *rowNames, AssessFunctor *&dfunc)=0
virtual void Aggregate(vtkDataObjectCollection *, vtkMultiBlockDataSet *)
QuantileDefinitionType QuantileDefinition
general representation of visualization data
vtkIdType NumberOfIntervals
vtkIdType GetQuantileDefinition()