42 #ifndef __vtkAutoCorrelativeStatistics_h
43 #define __vtkAutoCorrelativeStatistics_h
45 #include "vtkFiltersStatisticsModule.h"
48 class vtkMultiBlockDataSet;
58 void PrintSelf(ostream& os, vtkIndent indent);
67 vtkSetClampMacro(SliceCardinality,vtkIdType,0,VTK_ID_MAX);
68 vtkGetMacro(SliceCardinality,vtkIdType);
73 virtual void Aggregate( vtkDataObjectCollection*,
74 vtkMultiBlockDataSet* );
84 virtual void Learn( vtkTable*,
86 vtkMultiBlockDataSet* );
90 virtual void Derive( vtkMultiBlockDataSet* );
94 virtual void Test( vtkTable*,
95 vtkMultiBlockDataSet*,
96 vtkTable* ) {
return; };
102 vtkMultiBlockDataSet* inMeta,
104 { this->Superclass::Assess( inData, inMeta, outData, 1 ); }
110 virtual vtkDoubleArray* CalculatePValues(vtkDoubleArray*);
115 vtkDataObject* inMeta,
116 vtkStringArray* rowNames,
117 AssessFunctor*& dfunc );
virtual void Assess(vtkTable *inData, vtkMultiBlockDataSet *inMeta, vtkTable *outData)
void PrintSelf(ostream &os, vtkIndent indent)
Base class for statistics algorithms.
virtual void Aggregate(vtkDataObjectCollection *, vtkMultiBlockDataSet *)=0
virtual void Learn(vtkTable *, vtkTable *, vtkMultiBlockDataSet *)=0
virtual void Derive(vtkMultiBlockDataSet *)=0
A class for univariate auto-correlative statistics.
virtual void SelectAssessFunctor(vtkTable *outData, vtkDataObject *inMeta, vtkStringArray *rowNames, AssessFunctor *&dfunc)=0
virtual void Test(vtkTable *, vtkMultiBlockDataSet *, vtkTable *)
vtkIdType SliceCardinality