/usr/include/vtk-7.1/vtkContingencyStatistics.h is in libvtk7-dev 7.1.1+dfsg1-2.
This file is owned by root:root, with mode 0o644.
The actual contents of the file can be viewed below.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 | /*=========================================================================
Program: Visualization Toolkit
Module: vtkContingencyStatistics.h
Copyright (c) Ken Martin, Will Schroeder, Bill Lorensen
All rights reserved.
See Copyright.txt or http://www.kitware.com/Copyright.htm for details.
This software is distributed WITHOUT ANY WARRANTY; without even
the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR
PURPOSE. See the above copyright notice for more information.
=========================================================================*/
/*-------------------------------------------------------------------------
Copyright 2011 Sandia Corporation.
Under the terms of Contract DE-AC04-94AL85000 with Sandia Corporation,
the U.S. Government retains certain rights in this software.
-------------------------------------------------------------------------*/
/**
* @class vtkContingencyStatistics
* @brief A class for bivariate correlation contigency
* tables, conditional probabilities, and information entropy
*
*
* Given a pair of columns of interest, this class provides the
* following functionalities, depending on the operation in which it is executed:
* * Learn: calculate contigency tables and corresponding discrete joint
* probability distribution.
* * Derive: calculate conditional probabilities, information entropies, and
* pointwise mutual information.
* * Assess: given two columns of interest with the same number of entries as
* input in port INPUT_DATA, and a corresponding bivariate probability distribution,
* * Test: calculate Chi-square independence statistic and, if VTK to R interface is available,
* retrieve corresponding p-value for independence testing.
*
* @par Thanks:
* Thanks to Philippe Pebay and David Thompson from Sandia National Laboratories
* for implementing this class.
* Updated by Philippe Pebay, Kitware SAS 2012
*/
#ifndef vtkContingencyStatistics_h
#define vtkContingencyStatistics_h
#include "vtkFiltersStatisticsModule.h" // For export macro
#include "vtkStatisticsAlgorithm.h"
class vtkMultiBlockDataSet;
class vtkStringArray;
class vtkTable;
class vtkVariant;
class vtkIdTypeArray;
class vtkDoubleArray;
class VTKFILTERSSTATISTICS_EXPORT vtkContingencyStatistics : public vtkStatisticsAlgorithm
{
public:
vtkTypeMacro(vtkContingencyStatistics, vtkStatisticsAlgorithm);
void PrintSelf(ostream& os, vtkIndent indent) VTK_OVERRIDE;
static vtkContingencyStatistics* New();
/**
* Given a collection of models, calculate aggregate model
* NB: not implemented
*/
void Aggregate( vtkDataObjectCollection*,
vtkMultiBlockDataSet* ) VTK_OVERRIDE { return; };
protected:
vtkContingencyStatistics();
~vtkContingencyStatistics() VTK_OVERRIDE;
/**
* Execute the calculations required by the Learn option.
*/
void Learn( vtkTable*,
vtkTable*,
vtkMultiBlockDataSet* ) VTK_OVERRIDE;
/**
* Execute the calculations required by the Derive option.
*/
void Derive( vtkMultiBlockDataSet* ) VTK_OVERRIDE;
/**
* Execute the calculations required by the Test option.
*/
void Test( vtkTable*,
vtkMultiBlockDataSet*,
vtkTable* ) VTK_OVERRIDE;
/**
* Execute the calculations required by the Assess option.
*/
void Assess( vtkTable*,
vtkMultiBlockDataSet*,
vtkTable* ) VTK_OVERRIDE;
/**
* Calculate p-value. This will be overridden using the object factory with an
* R implementation if R is present.
*/
virtual void CalculatePValues(vtkTable*);
/**
* Provide the appropriate assessment functor.
* This one does nothing because the API is not sufficient for tables indexed
* by a separate summary table.
*/
void SelectAssessFunctor( vtkTable* outData,
vtkDataObject* inMeta,
vtkStringArray* rowNames,
AssessFunctor*& dfunc ) VTK_OVERRIDE;
/**
* Provide the appropriate assessment functor.
* This one is the one that is actually used.
*/
virtual void SelectAssessFunctor( vtkTable* outData,
vtkMultiBlockDataSet* inMeta,
vtkIdType pairKey,
vtkStringArray* rowNames,
AssessFunctor*& dfunc );
private:
vtkContingencyStatistics(const vtkContingencyStatistics&) VTK_DELETE_FUNCTION;
void operator=(const vtkContingencyStatistics&) VTK_DELETE_FUNCTION;
};
#endif
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