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
|
/*=========================================================================
Program: Visualization Toolkit
Module: vtkDescriptiveStatisticsGnuR.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.
=========================================================================*/
/**
* @class vtkDescriptiveStatisticsGnu
* @brief A class for univariate descriptive statistics using
* R to calculate p-values
*
*
* 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.
*
* @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 vtkDescriptiveStatisticsGnuR_h
#define vtkDescriptiveStatisticsGnuR_h
#include "vtkFiltersStatisticsGnuRModule.h" // For export macro
#include "vtkDescriptiveStatistics.h"
class vtkDoubleArray;
class VTKFILTERSSTATISTICSGNUR_EXPORT vtkDescriptiveStatisticsGnuR : public vtkDescriptiveStatistics
{
public:
vtkTypeMacro(vtkDescriptiveStatisticsGnuR, vtkDescriptiveStatistics);
void PrintSelf(ostream& os, vtkIndent indent);
static vtkDescriptiveStatisticsGnuR* New();
protected:
vtkDescriptiveStatisticsGnuR();
~vtkDescriptiveStatisticsGnuR();
virtual vtkDoubleArray* CalculatePValues(vtkDoubleArray*);
private:
vtkDescriptiveStatisticsGnuR(const vtkDescriptiveStatisticsGnuR&) VTK_DELETE_FUNCTION;
void operator=(const vtkDescriptiveStatisticsGnuR&) VTK_DELETE_FUNCTION;
};
#endif
|
