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vtkDescriptiveStatistics Class Reference

A class for univariate descriptive statistics. More...

#include <vtkDescriptiveStatistics.h>

Inheritance diagram for vtkDescriptiveStatistics:
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Collaboration diagram for vtkDescriptiveStatistics:
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Public Types

typedef vtkStatisticsAlgorithm Superclass
 
- Public Types inherited from vtkStatisticsAlgorithm
typedef vtkTableAlgorithm Superclass
 
enum  InputPorts { INPUT_DATA = 0, LEARN_PARAMETERS = 1, INPUT_MODEL = 2 }
 
enum  OutputIndices { OUTPUT_DATA = 0, OUTPUT_MODEL = 1, ASSESSMENT = 2, OUTPUT_TEST = 2 }
 
- Public Types inherited from vtkTableAlgorithm
typedef vtkAlgorithm Superclass
 
- Public Types inherited from vtkAlgorithm
typedef vtkObject Superclass
 
enum  DesiredOutputPrecision { SINGLE_PRECISION, DOUBLE_PRECISION, DEFAULT_PRECISION }
 

Public Member Functions

virtual int IsA (const char *type)
 
vtkDescriptiveStatisticsNewInstance () const
 
void PrintSelf (ostream &os, vtkIndent indent)
 
virtual void SetUnbiasedVariance (int)
 
virtual int GetUnbiasedVariance ()
 
virtual void UnbiasedVarianceOn ()
 
virtual void UnbiasedVarianceOff ()
 
virtual void SetG1Skewness (int)
 
virtual int GetG1Skewness ()
 
virtual void G1SkewnessOn ()
 
virtual void G1SkewnessOff ()
 
virtual void SetG2Kurtosis (int)
 
virtual int GetG2Kurtosis ()
 
virtual void G2KurtosisOn ()
 
virtual void G2KurtosisOff ()
 
virtual void SetSignedDeviations (int)
 
virtual int GetSignedDeviations ()
 
virtual void SignedDeviationsOn ()
 
virtual void SignedDeviationsOff ()
 
virtual void Aggregate (vtkDataObjectCollection *, vtkMultiBlockDataSet *)
 
- Public Member Functions inherited from vtkStatisticsAlgorithm
vtkStatisticsAlgorithmNewInstance () const
 
void PrintSelf (ostream &os, vtkIndent indent)
 
virtual void SetColumnStatus (const char *namCol, int status)
 
virtual void ResetAllColumnStates ()
 
virtual int RequestSelectedColumns ()
 
virtual void ResetRequests ()
 
virtual vtkIdType GetNumberOfRequests ()
 
virtual vtkIdType GetNumberOfColumnsForRequest (vtkIdType request)
 
void AddColumn (const char *namCol)
 
void AddColumnPair (const char *namColX, const char *namColY)
 
virtual void SetLearnOptionParameterConnection (vtkAlgorithmOutput *params)
 
virtual void SetLearnOptionParameters (vtkDataObject *params)
 
virtual void SetInputModelConnection (vtkAlgorithmOutput *model)
 
virtual void SetInputModel (vtkDataObject *model)
 
virtual void SetLearnOption (bool)
 
virtual bool GetLearnOption ()
 
virtual void SetDeriveOption (bool)
 
virtual bool GetDeriveOption ()
 
virtual void SetAssessOption (bool)
 
virtual bool GetAssessOption ()
 
virtual void SetTestOption (bool)
 
virtual bool GetTestOption ()
 
virtual void SetNumberOfPrimaryTables (vtkIdType)
 
virtual vtkIdType GetNumberOfPrimaryTables ()
 
virtual void SetAssessNames (vtkStringArray *)
 
virtual vtkStringArray * GetAssessNames ()
 
virtual const char * GetColumnForRequest (vtkIdType r, vtkIdType c)
 
virtual int GetColumnForRequest (vtkIdType r, vtkIdType c, vtkStdString &columnName)
 
virtual bool SetParameter (const char *parameter, int index, vtkVariant value)
 
- Public Member Functions inherited from vtkTableAlgorithm
vtkTableAlgorithmNewInstance () const
 
void PrintSelf (ostream &os, vtkIndent indent)
 
virtual int ProcessRequest (vtkInformation *, vtkInformationVector **, vtkInformationVector *)
 
vtkTableGetOutput ()
 
vtkTableGetOutput (int index)
 
void SetInputData (vtkDataObject *obj)
 
void SetInputData (int index, vtkDataObject *obj)
 
- Public Member Functions inherited from vtkAlgorithm
vtkAlgorithmNewInstance () const
 
void PrintSelf (ostream &os, vtkIndent indent)
 
int HasExecutive ()
 
vtkExecutiveGetExecutive ()
 
virtual void SetExecutive (vtkExecutive *executive)
 
virtual int ModifyRequest (vtkInformation *request, int when)
 
vtkInformation * GetInputPortInformation (int port)
 
vtkInformation * GetOutputPortInformation (int port)
 
int GetNumberOfInputPorts ()
 
int GetNumberOfOutputPorts ()
 
void UpdateProgress (double amount)
 
vtkInformation * GetInputArrayInformation (int idx)
 
void RemoveAllInputs ()
 
vtkDataObjectGetOutputDataObject (int port)
 
virtual void RemoveInputConnection (int port, vtkAlgorithmOutput *input)
 
virtual void RemoveInputConnection (int port, int idx)
 
virtual void RemoveAllInputConnections (int port)
 
int GetNumberOfInputConnections (int port)
 
int GetTotalNumberOfInputConnections ()
 
vtkAlgorithmOutputGetInputConnection (int port, int index)
 
vtkAlgorithmGetInputAlgorithm (int port, int index, int &algPort)
 
vtkAlgorithmGetInputAlgorithm (int port, int index)
 
vtkExecutiveGetInputExecutive (int port, int index)
 
vtkInformation * GetInputInformation (int port, int index)
 
vtkInformation * GetOutputInformation (int port)
 
virtual void UpdateInformation ()
 
virtual void PropagateUpdateExtent ()
 
virtual void UpdateWholeExtent ()
 
void ConvertTotalInputToPortConnection (int ind, int &port, int &conn)
 
virtual double ComputePriority ()
 
int SetUpdateExtentToWholeExtent (int port)
 
int SetUpdateExtentToWholeExtent ()
 
void SetUpdateExtent (int port, int extent[6])
 
int ProcessRequest (vtkInformation *request, vtkCollection *inInfo, vtkInformationVector *outInfo)
 
virtual int ComputePipelineMTime (vtkInformation *request, vtkInformationVector **inInfoVec, vtkInformationVector *outInfoVec, int requestFromOutputPort, unsigned long *mtime)
 
virtual vtkInformation * GetInformation ()
 
virtual void SetInformation (vtkInformation *)
 
virtual void Register (vtkObjectBase *o)
 
virtual void UnRegister (vtkObjectBase *o)
 
virtual void SetAbortExecute (int)
 
virtual int GetAbortExecute ()
 
virtual void AbortExecuteOn ()
 
virtual void AbortExecuteOff ()
 
virtual void SetProgress (double)
 
virtual double GetProgress ()
 
void SetProgressText (const char *ptext)
 
virtual char * GetProgressText ()
 
virtual unsigned long GetErrorCode ()
 
virtual void SetInputArrayToProcess (int idx, int port, int connection, int fieldAssociation, const char *name)
 
virtual void SetInputArrayToProcess (int idx, int port, int connection, int fieldAssociation, int fieldAttributeType)
 
virtual void SetInputArrayToProcess (int idx, vtkInformation *info)
 
virtual void SetInputArrayToProcess (int idx, int port, int connection, const char *fieldAssociation, const char *attributeTypeorName)
 
vtkDataObjectGetInputDataObject (int port, int connection)
 
virtual void SetInputConnection (int port, vtkAlgorithmOutput *input)
 
virtual void SetInputConnection (vtkAlgorithmOutput *input)
 
virtual void AddInputConnection (int port, vtkAlgorithmOutput *input)
 
virtual void AddInputConnection (vtkAlgorithmOutput *input)
 
virtual void SetInputDataObject (int port, vtkDataObject *data)
 
virtual void SetInputDataObject (vtkDataObject *data)
 
virtual void AddInputDataObject (int port, vtkDataObject *data)
 
virtual void AddInputDataObject (vtkDataObject *data)
 
vtkAlgorithmOutputGetOutputPort (int index)
 
vtkAlgorithmOutputGetOutputPort ()
 
vtkAlgorithmGetInputAlgorithm ()
 
vtkExecutiveGetInputExecutive ()
 
vtkInformation * GetInputInformation ()
 
virtual void Update (int port)
 
virtual void Update ()
 
virtual void SetReleaseDataFlag (int)
 
virtual int GetReleaseDataFlag ()
 
void ReleaseDataFlagOn ()
 
void ReleaseDataFlagOff ()
 
int UpdateExtentIsEmpty (vtkInformation *pinfo, vtkDataObject *output)
 
int UpdateExtentIsEmpty (vtkInformation *pinfo, int extentType)
 
void SetUpdateExtent (int port, int piece, int numPieces, int ghostLevel)
 
void SetUpdateExtent (int piece, int numPieces, int ghostLevel)
 
void SetUpdateExtent (int extent[6])
 
int * GetUpdateExtent ()
 
int * GetUpdateExtent (int port)
 
void GetUpdateExtent (int &x0, int &x1, int &y0, int &y1, int &z0, int &z1)
 
void GetUpdateExtent (int port, int &x0, int &x1, int &y0, int &y1, int &z0, int &z1)
 
void GetUpdateExtent (int extent[6])
 
void GetUpdateExtent (int port, int extent[6])
 
int GetUpdatePiece ()
 
int GetUpdatePiece (int port)
 
int GetUpdateNumberOfPieces ()
 
int GetUpdateNumberOfPieces (int port)
 
int GetUpdateGhostLevel ()
 
int GetUpdateGhostLevel (int port)
 

Static Public Member Functions

static int IsTypeOf (const char *type)
 
static vtkDescriptiveStatisticsSafeDownCast (vtkObjectBase *o)
 
static vtkDescriptiveStatisticsNew ()
 
- Static Public Member Functions inherited from vtkStatisticsAlgorithm
static int IsTypeOf (const char *type)
 
static vtkStatisticsAlgorithmSafeDownCast (vtkObjectBase *o)
 
- Static Public Member Functions inherited from vtkTableAlgorithm
static vtkTableAlgorithmNew ()
 
static int IsTypeOf (const char *type)
 
static vtkTableAlgorithmSafeDownCast (vtkObjectBase *o)
 
- Static Public Member Functions inherited from vtkAlgorithm
static vtkAlgorithmNew ()
 
static int IsTypeOf (const char *type)
 
static vtkAlgorithmSafeDownCast (vtkObjectBase *o)
 
static void SetDefaultExecutivePrototype (vtkExecutive *proto)
 
static vtkInformationIntegerKey * INPUT_IS_OPTIONAL ()
 
static vtkInformationIntegerKey * INPUT_IS_REPEATABLE ()
 
static
vtkInformationInformationVectorKey * 
INPUT_REQUIRED_FIELDS ()
 
static
vtkInformationStringVectorKey * 
INPUT_REQUIRED_DATA_TYPE ()
 
static
vtkInformationInformationVectorKey * 
INPUT_ARRAYS_TO_PROCESS ()
 
static vtkInformationIntegerKey * INPUT_PORT ()
 
static vtkInformationIntegerKey * INPUT_CONNECTION ()
 
static vtkInformationIntegerKey * PRESERVES_DATASET ()
 
static vtkInformationIntegerKey * PRESERVES_GEOMETRY ()
 
static vtkInformationIntegerKey * PRESERVES_BOUNDS ()
 
static vtkInformationIntegerKey * PRESERVES_TOPOLOGY ()
 
static vtkInformationIntegerKey * PRESERVES_ATTRIBUTES ()
 
static vtkInformationIntegerKey * PRESERVES_RANGES ()
 
static vtkInformationIntegerKey * MANAGES_METAINFORMATION ()
 

Protected Member Functions

virtual vtkObjectBase * NewInstanceInternal () const
 
 vtkDescriptiveStatistics ()
 
 ~vtkDescriptiveStatistics ()
 
virtual void Derive (vtkMultiBlockDataSet *)
 
virtual vtkDoubleArray * CalculatePValues (vtkDoubleArray *)
 
virtual void Learn (vtkTable *, vtkTable *, vtkMultiBlockDataSet *)
 
virtual void Test (vtkTable *, vtkMultiBlockDataSet *, vtkTable *)
 
virtual void Assess (vtkTable *inData, vtkMultiBlockDataSet *inMeta, vtkTable *outData)
 
virtual void SelectAssessFunctor (vtkTable *outData, vtkDataObject *inMeta, vtkStringArray *rowNames, AssessFunctor *&dfunc)
 
- Protected Member Functions inherited from vtkStatisticsAlgorithm
 vtkStatisticsAlgorithm ()
 
 ~vtkStatisticsAlgorithm ()
 
virtual int FillInputPortInformation (int port, vtkInformation *info)
 
virtual int FillOutputPortInformation (int port, vtkInformation *info)
 
virtual int RequestData (vtkInformation *, vtkInformationVector **, vtkInformationVector *)
 
void Assess (vtkTable *, vtkMultiBlockDataSet *, vtkTable *, int)
 
- Protected Member Functions inherited from vtkTableAlgorithm
 vtkTableAlgorithm ()
 
 ~vtkTableAlgorithm ()
 
virtual int RequestInformation (vtkInformation *request, vtkInformationVector **inputVector, vtkInformationVector *outputVector)
 
virtual int RequestUpdateExtent (vtkInformation *, vtkInformationVector **, vtkInformationVector *)
 
- Protected Member Functions inherited from vtkAlgorithm
 vtkAlgorithm ()
 
 ~vtkAlgorithm ()
 
virtual void SetNumberOfInputPorts (int n)
 
virtual void SetNumberOfOutputPorts (int n)
 
int InputPortIndexInRange (int index, const char *action)
 
int OutputPortIndexInRange (int index, const char *action)
 
int GetInputArrayAssociation (int idx, vtkInformationVector **inputVector)
 
virtual vtkExecutiveCreateDefaultExecutive ()
 
virtual void ReportReferences (vtkGarbageCollector *)
 
virtual void SetNumberOfInputConnections (int port, int n)
 
int GetInputArrayAssociation (int idx, int connection, vtkInformationVector **inputVector)
 
int GetInputArrayAssociation (int idx, vtkDataObject *input)
 
vtkDataArray * GetInputArrayToProcess (int idx, vtkInformationVector **inputVector)
 
vtkDataArray * GetInputArrayToProcess (int idx, vtkInformationVector **inputVector, int &association)
 
vtkDataArray * GetInputArrayToProcess (int idx, int connection, vtkInformationVector **inputVector)
 
vtkDataArray * GetInputArrayToProcess (int idx, int connection, vtkInformationVector **inputVector, int &association)
 
vtkDataArray * GetInputArrayToProcess (int idx, vtkDataObject *input)
 
vtkDataArray * GetInputArrayToProcess (int idx, vtkDataObject *input, int &association)
 
vtkAbstractArray * GetInputAbstractArrayToProcess (int idx, vtkInformationVector **inputVector)
 
vtkAbstractArray * GetInputAbstractArrayToProcess (int idx, vtkInformationVector **inputVector, int &association)
 
vtkAbstractArray * GetInputAbstractArrayToProcess (int idx, int connection, vtkInformationVector **inputVector)
 
vtkAbstractArray * GetInputAbstractArrayToProcess (int idx, int connection, vtkInformationVector **inputVector, int &association)
 
vtkAbstractArray * GetInputAbstractArrayToProcess (int idx, vtkDataObject *input)
 
vtkAbstractArray * GetInputAbstractArrayToProcess (int idx, vtkDataObject *input, int &association)
 
vtkInformation * GetInputArrayFieldInformation (int idx, vtkInformationVector **inputVector)
 
virtual void SetNthInputConnection (int port, int index, vtkAlgorithmOutput *input)
 
void SetInputDataInternal (int port, vtkDataObject *input)
 
void AddInputDataInternal (int port, vtkDataObject *input)
 
virtual void SetErrorCode (unsigned long)
 

Protected Attributes

int UnbiasedVariance
 
int G1Skewness
 
int G2Kurtosis
 
int SignedDeviations
 
- Protected Attributes inherited from vtkStatisticsAlgorithm
int NumberOfPrimaryTables
 
bool LearnOption
 
bool DeriveOption
 
bool AssessOption
 
bool TestOption
 
vtkStringArray * AssessNames
 
vtkStatisticsAlgorithmPrivateInternals
 
- Protected Attributes inherited from vtkAlgorithm
vtkInformation * Information
 
double Progress
 
char * ProgressText
 
unsigned long ErrorCode
 

Additional Inherited Members

- Public Attributes inherited from vtkAlgorithm
int AbortExecute
 
- Static Protected Member Functions inherited from vtkAlgorithm
static vtkInformationIntegerKey * PORT_REQUIREMENTS_FILLED ()
 
- Static Protected Attributes inherited from vtkAlgorithm
static vtkExecutiveDefaultExecutivePrototype
 

Detailed Description

A class for univariate descriptive statistics.

Private implementation for bivariate statistics algorithms.

Given a selection of columns of interest in an input data table, this class provides the following functionalities, depending on the chosen execution options: Learn: calculate extremal values, sample mean, and M2, M3, and M4 aggregates (cf. P. Pebay, Formulas for robust, one-pass parallel computation of covariances and Arbitrary-Order Statistical Moments, Sandia Report SAND2008-6212, Sep 2008, http://infoserve.sandia.gov/sand_doc/2008/086212.pdf for details) Derive: calculate unbiased variance estimator, standard deviation estimator, two skewness estimators, and two kurtosis excess estimators. Assess: given an input data set, a reference value and a non-negative deviation, mark each datum with corresponding relative deviation (1-dimensional Mahlanobis distance). If the deviation is zero, then mark each datum which are equal to the reference value with 0, and all others with 1. By default, the reference value and the deviation are, respectively, the mean and the standard deviation of the input model. Test: calculate Jarque-Bera statistic and, if VTK to R interface is available, retrieve corresponding p-value for normality testing.

Thanks:
Thanks to Philippe Pebay and David Thompson from Sandia National Laboratories for implementing this class. Updated by Philippe Pebay, Kitware SAS 2012
Examples:
vtkDescriptiveStatistics (Examples)
Tests:
vtkDescriptiveStatistics (Tests)

The main purpose of this class is to avoid exposure of STL container through the APIs of the vtkStatistics classes APIs

Thanks:
Thanks to Philippe Pebay and David Thompson from Sandia National Laboratories for implementing this class.

Definition at line 66 of file vtkDescriptiveStatistics.h.

Member Typedef Documentation

Definition at line 69 of file vtkDescriptiveStatistics.h.

Constructor & Destructor Documentation

vtkDescriptiveStatistics::vtkDescriptiveStatistics ( )
protected
vtkDescriptiveStatistics::~vtkDescriptiveStatistics ( )
protected

Member Function Documentation

static int vtkDescriptiveStatistics::IsTypeOf ( const char *  type)
static
virtual int vtkDescriptiveStatistics::IsA ( const char *  type)
virtual
static vtkDescriptiveStatistics* vtkDescriptiveStatistics::SafeDownCast ( vtkObjectBase *  o)
static
virtual vtkObjectBase* vtkDescriptiveStatistics::NewInstanceInternal ( ) const
protectedvirtual
vtkDescriptiveStatistics* vtkDescriptiveStatistics::NewInstance ( ) const
void vtkDescriptiveStatistics::PrintSelf ( ostream &  os,
vtkIndent  indent 
)
static vtkDescriptiveStatistics* vtkDescriptiveStatistics::New ( )
static
virtual void vtkDescriptiveStatistics::SetUnbiasedVariance ( int  )
virtual

Set/get whether the unbiased estimator for the variance should be used, or if the population variance will be calculated. The default is that the unbiased estimator will be used.

virtual int vtkDescriptiveStatistics::GetUnbiasedVariance ( )
virtual

Set/get whether the unbiased estimator for the variance should be used, or if the population variance will be calculated. The default is that the unbiased estimator will be used.

virtual void vtkDescriptiveStatistics::UnbiasedVarianceOn ( )
virtual

Set/get whether the unbiased estimator for the variance should be used, or if the population variance will be calculated. The default is that the unbiased estimator will be used.

virtual void vtkDescriptiveStatistics::UnbiasedVarianceOff ( )
virtual

Set/get whether the unbiased estimator for the variance should be used, or if the population variance will be calculated. The default is that the unbiased estimator will be used.

virtual void vtkDescriptiveStatistics::SetG1Skewness ( int  )
virtual

Set/get whether the G1 estimator for the skewness should be used, or if the g1 skewness will be calculated. The default is that the g1 skewness estimator will be used.

virtual int vtkDescriptiveStatistics::GetG1Skewness ( )
virtual

Set/get whether the G1 estimator for the skewness should be used, or if the g1 skewness will be calculated. The default is that the g1 skewness estimator will be used.

virtual void vtkDescriptiveStatistics::G1SkewnessOn ( )
virtual

Set/get whether the G1 estimator for the skewness should be used, or if the g1 skewness will be calculated. The default is that the g1 skewness estimator will be used.

virtual void vtkDescriptiveStatistics::G1SkewnessOff ( )
virtual

Set/get whether the G1 estimator for the skewness should be used, or if the g1 skewness will be calculated. The default is that the g1 skewness estimator will be used.

virtual void vtkDescriptiveStatistics::SetG2Kurtosis ( int  )
virtual

Set/get whether the G2 estimator for the kurtosis should be used, or if the g2 kurtosis will be calculated. The default is that the g2 kurtosis estimator will be used.

virtual int vtkDescriptiveStatistics::GetG2Kurtosis ( )
virtual

Set/get whether the G2 estimator for the kurtosis should be used, or if the g2 kurtosis will be calculated. The default is that the g2 kurtosis estimator will be used.

virtual void vtkDescriptiveStatistics::G2KurtosisOn ( )
virtual

Set/get whether the G2 estimator for the kurtosis should be used, or if the g2 kurtosis will be calculated. The default is that the g2 kurtosis estimator will be used.

virtual void vtkDescriptiveStatistics::G2KurtosisOff ( )
virtual

Set/get whether the G2 estimator for the kurtosis should be used, or if the g2 kurtosis will be calculated. The default is that the g2 kurtosis estimator will be used.

virtual void vtkDescriptiveStatistics::SetSignedDeviations ( int  )
virtual

Set/get whether the deviations returned should be signed, or should only have their magnitude reported. The default is that signed deviations will be computed.

virtual int vtkDescriptiveStatistics::GetSignedDeviations ( )
virtual

Set/get whether the deviations returned should be signed, or should only have their magnitude reported. The default is that signed deviations will be computed.

virtual void vtkDescriptiveStatistics::SignedDeviationsOn ( )
virtual

Set/get whether the deviations returned should be signed, or should only have their magnitude reported. The default is that signed deviations will be computed.

virtual void vtkDescriptiveStatistics::SignedDeviationsOff ( )
virtual

Set/get whether the deviations returned should be signed, or should only have their magnitude reported. The default is that signed deviations will be computed.

virtual void vtkDescriptiveStatistics::Aggregate ( vtkDataObjectCollection ,
vtkMultiBlockDataSet  
)
virtual

Given a collection of models, calculate aggregate model

Implements vtkStatisticsAlgorithm.

virtual void vtkDescriptiveStatistics::Learn ( vtkTable ,
vtkTable ,
vtkMultiBlockDataSet  
)
protectedvirtual

Execute the calculations required by the Learn option, given some input Data NB: input parameters are unused.

Implements vtkStatisticsAlgorithm.

Reimplemented in vtkPDescriptiveStatistics.

virtual void vtkDescriptiveStatistics::Derive ( vtkMultiBlockDataSet )
protectedvirtual

Execute the calculations required by the Derive option.

Implements vtkStatisticsAlgorithm.

virtual void vtkDescriptiveStatistics::Test ( vtkTable ,
vtkMultiBlockDataSet ,
vtkTable  
)
protectedvirtual

Execute the calculations required by the Test option.

Implements vtkStatisticsAlgorithm.

virtual void vtkDescriptiveStatistics::Assess ( vtkTable inData,
vtkMultiBlockDataSet inMeta,
vtkTable outData 
)
inlineprotectedvirtual

Execute the calculations required by the Assess option.

Implements vtkStatisticsAlgorithm.

Definition at line 139 of file vtkDescriptiveStatistics.h.

virtual vtkDoubleArray* vtkDescriptiveStatistics::CalculatePValues ( vtkDoubleArray *  )
protectedvirtual

Calculate p-value. This will be overridden using the object factory with an R implementation if R is present.

Reimplemented in vtkDescriptiveStatisticsGnuR.

virtual void vtkDescriptiveStatistics::SelectAssessFunctor ( vtkTable outData,
vtkDataObject inMeta,
vtkStringArray *  rowNames,
AssessFunctor *&  dfunc 
)
protectedvirtual

Provide the appropriate assessment functor.

Implements vtkStatisticsAlgorithm.

Member Data Documentation

int vtkDescriptiveStatistics::UnbiasedVariance
protected

Definition at line 159 of file vtkDescriptiveStatistics.h.

int vtkDescriptiveStatistics::G1Skewness
protected

Definition at line 160 of file vtkDescriptiveStatistics.h.

int vtkDescriptiveStatistics::G2Kurtosis
protected

Definition at line 161 of file vtkDescriptiveStatistics.h.

int vtkDescriptiveStatistics::SignedDeviations
protected

Definition at line 162 of file vtkDescriptiveStatistics.h.


The documentation for this class was generated from the following file: