CRNStatisticSample.h File Reference

#include <vector>
#include <map>
#include <algorithm>
#include <iterator>
#include <numeric>
#include <tuple>
#include <CRNMath/CRNMath.h>

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Namespaces
	crn

Functions
template<typename T >
T	crn::Max (const std::vector< T > &v)
	Data analysis. More...
template<typename T >
T	crn::Max (const std::vector< std::vector< T >> &m)
	Returns max. More...
template<typename T >
T	crn::Min (const std::vector< T > &v)
	Returns min. More...
template<typename T >
T	crn::Min (const std::vector< std::vector< T >> &m)
	Returns min. More...
template<typename T >
std::tuple< T, T >	crn::MinMax (const std::vector< T > &v)
	Returns min and max. More...
template<typename T >
std::tuple< T, T >	crn::MinMax (const std::vector< std::vector< T >> &m)
	Returns min and max. More...
template<typename T >
size_t	crn::Argmax (const std::vector< T > &v)
	Return index of a maximal. More...
template<typename T >
size_t	crn::Argmin (const std::vector< T > &v)
	Return index of a minimal. More...
template<typename T >
size_t	crn::ColumnArgmax (const std::vector< std::vector< T >> &m, size_t col)
	Return index of a maximal on a column. More...
template<typename T >
size_t	crn::ColumnArgmin (const std::vector< std::vector< T >> &m, size_t col)
	Return index of a minimal on a column. More...
double	crn::Mean (const std::vector< double > &v)
	Return mean value of sample. More...
template<typename ITER >
std::iterator_traits< ITER > ::value_type	crn::Mean (ITER be, ITER en)
	Return mean value of sample. More...
template<typename ITER >
double	crn::MeanAsDouble (ITER be, ITER en)
	Return mean value of sample as a double value. More...
std::vector< double >	crn::MeanPattern (const std::vector< std::vector< double >> &m)
	Return mean pattern of sample. More...
template<typename ITER >
std::vector< double >	crn::MeanPattern (ITER it_begin, ITER it_end)
double	crn::StdDeviation (const std::vector< double > &v)
	Return deviation of sample. More...
double	crn::Variance (const std::vector< double > &v)
	Return variance of sample. More...
std::vector< std::vector < double > >	crn::MakeCovariance (const std::vector< std::vector< double >> &m)
	Return covariance for sample. More...
template<typename ITER >
std::vector< std::vector < double > >	crn::MakeCovariance (ITER it_begin, ITER it_end)
std::tuple< double, double, double >	crn::MeanVarDev (const std::vector< double > &v)
	Return mean, variance and standard deviation of sample. More...
template<typename ITER >
std::tuple< double, double, double >	crn::MeanVarDev (ITER it_begin, ITER it_end)
std::vector< double >	crn::Quantiles (const std::vector< double > &v, size_t q, bool sort_flag=true)
	Return quantile values of sample. More...
template<typename T >
T	crn::MedianValue (const std::vector< T > &v)
	Median value. More...
template<typename T >
bool	crn::AllEqual (const std::vector< T > &v)
	Test if all data values are equal. More...
template<typename T >
bool	crn::AllEqual (const std::vector< std::vector< T >> &m)
	Test if all data values are equal. More...
Histogram	crn::MakeHistogram (const std::vector< double > &v, size_t nb_bins)
	Returns count histogram. More...
Histogram	crn::MakeHistogramSquareRoot (const std::vector< double > &v)
	Returns count histogram (#bins = sqrt(pop) ) More...
Histogram	crn::MakeHistogramSturges (const std::vector< double > &v)
	Returns count histogram (#bins = 1+log_2(pop) ) More...
Histogram	crn::MakeHistogramRice (const std::vector< double > &v)
	Returns count histogram (#bins = 2n^(1/3) ) More...
Histogram	crn::MakeHistogramScott (const std::vector< double > &v)
	Returns count histogram (bin width = 3.5 * stddev / pop^(1/3)) More...
Histogram	crn::MakeHistogramFreedmanDiaconis (const std::vector< double > &v, bool sort_flag=true)
	Returns count histogram (bin width = 2 * IQR(v) / pop^(1/3)) More...
UnivariateGaussianMixture	crn::MakeGaussianMixtureModel (const std::vector< double > &v, size_t nb_seeds=2)
	Return Gaussian mixture model modeling current (univariate) sample. More...
MultivariateGaussianMixture	crn::MakeGaussianMixtureModel (const std::vector< std::vector< double >> &patterns, size_t nb_seeds=2)
	Return Gaussian mixture model modeling current (multivariate) sample. More...