|  | VTK
    9.0.1
    | 
 
 
 
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   78 #ifndef vtkMultiCorrelativeStatistics_h 
   79 #define vtkMultiCorrelativeStatistics_h 
   81 #include "vtkFiltersStatisticsModule.h"  
  107   vtkSetMacro(MedianAbsoluteDeviation, 
bool);
 
  108   vtkGetMacro(MedianAbsoluteDeviation, 
bool);
 
  109   vtkBooleanMacro(MedianAbsoluteDeviation, 
bool);
 
  140     AssessFunctor*& dfunc) 
override;
 
  
maintain an unordered list of data objects
A table, which contains similar-typed columns of data.
bool MedianAbsoluteDeviation
A class for univariate order statistics.
Composite dataset that organizes datasets into blocks.
A class for multivariate linear correlation.
a simple class to control print indentation
A atomic type representing the union of many types.
virtual void Learn(vtkTable *, vtkTable *, vtkMultiBlockDataSet *)=0
Execute the calculations required by the Learn option, given some input Data.
virtual void Aggregate(vtkDataObjectCollection *, vtkMultiBlockDataSet *)=0
Given a collection of models, calculate aggregate model.
void PrintSelf(ostream &os, vtkIndent indent) override
Methods invoked by print to print information about the object including superclasses.
virtual void Assess(vtkTable *, vtkMultiBlockDataSet *, vtkTable *)=0
Execute the calculations required by the Assess option.
virtual void SelectAssessFunctor(vtkTable *outData, vtkDataObject *inMeta, vtkStringArray *rowNames, AssessFunctor *&dfunc)=0
A pure virtual method to select the appropriate assessment functor.
void Test(vtkTable *, vtkMultiBlockDataSet *, vtkTable *) override
Execute the calculations required by the Test option.
virtual void Derive(vtkMultiBlockDataSet *)=0
Execute the calculations required by the Derive option.
a vtkAbstractArray subclass for strings
dynamic, self-adjusting array of double
Base class for statistics algorithms.
general representation of visualization data
static vtkTableAlgorithm * New()