42 #ifndef __vtkAutoCorrelativeStatistics_h
43 #define __vtkAutoCorrelativeStatistics_h
45 #include "vtkFiltersStatisticsModule.h"
58 void PrintSelf(ostream& os, vtkIndent indent);
67 vtkSetClampMacro(SliceCardinality,vtkIdType,0,VTK_ID_MAX);
68 vtkGetMacro(SliceCardinality,vtkIdType);
104 { this->Superclass::Assess( inData, inMeta, outData, 1 ); }
110 virtual vtkDoubleArray* CalculatePValues(vtkDoubleArray*);
116 vtkStringArray* rowNames,
117 AssessFunctor*& dfunc );
virtual void Assess(vtkTable *inData, vtkMultiBlockDataSet *inMeta, vtkTable *outData)
static vtkTableAlgorithm * New()
void PrintSelf(ostream &os, vtkIndent indent)
maintain an unordered list of data objects
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.
A table, which contains similar-typed columns of data.
Composite dataset that organizes datasets into blocks.
virtual void SelectAssessFunctor(vtkTable *outData, vtkDataObject *inMeta, vtkStringArray *rowNames, AssessFunctor *&dfunc)=0
general representation of visualization data
virtual void Test(vtkTable *, vtkMultiBlockDataSet *, vtkTable *)
vtkIdType SliceCardinality