STK::Stat Namespace Reference

this is the namespace for the statistical treatment. More...

Classes
class	Bivariate
	Computation of the bivariate Statistics of two Variables. More...
class	ConfusionMatrix
	Class computing the confusion matrix given two vectors of integer. More...
class	Factor
	Computation of the Factors of a 1D Container. More...
struct	MaxOp
	Compute the maximal value of the variable V. More...
struct	MaxSafeOp
	Compute safely the maximal value of the variable V. More...
struct	MeanOp
	Compute the mean of the variable V. More...
struct	MeanSafeOp
	Compute safely mean of the variable V. More...
struct	MinOp
	Compute the minimal value of the variable V. More...
struct	MinSafeOp
	Compute safely the minimal value of the variable V. More...
class	MultiFactor
	Computation of the MultiFactors of a 2D Container. More...
class	Multivariate
	Computation of the multivariate statistics of a Variable. More...
class	Multivariate< Array, Real >
	Computation of the Multivariate Statistics of a 2D Container of Real. More...
struct	Online
struct	Online< Array, Real >
	Computation online of the statistics of a Real set of variable. More...
struct	Online< Real, Real >
	Computation online of the statistics of a Real set of variable. More...
struct	SumOp
	Compute the sum of the variable V. More...
struct	SumSafeOp
	Compute safely the sum of the variable V. More...
class	Univariate
class	Univariate< TContainer1D, Real >
	Computation of the univariate Statistics of a Real Variable. More...
struct	VarianceOp
	Compute the variance of the variable V. More...
struct	VarianceSafeOp
	Compute safely the variance of the variable V. More...
struct	VarianceWithFixedMeanOp
	Compute the variance of the variable V when the mean is given. More...
struct	VarianceWithFixedMeanSafeOp
	Compute safely the variance of the variable V when the mean is given. More...

Functions
template<class TrueArray , class PredArray >
CSquareXi	confusionMatrix (TrueArray const &trueClass, PredArray const &predictClass)
	Utility function computing the confusion matrix given two vectors of integer.
template<class XArray , class YArray >
Real	covariance (ExprBase< XArray > const &X, ExprBase< YArray > const &Y, bool unbiased=false)
	Compute the covariance of the variables X and Y.
template<class XArray , class YArray >
Real	covarianceSafe (ExprBase< XArray > const &X, ExprBase< YArray > const &Y, bool unbiased=false)
	Compute the covariance of the variables X and Y.
template<class XArray , class YArray , class Weights >
Real	covariance (ExprBase< XArray > const &X, ExprBase< YArray > const &Y, ExprBase< Weights > const &W, bool unbiased=false)
	The covariance between X and Y will be computed using the formula.
template<class XArray , class YArray , class Weights >
Real	covarianceSafe (ExprBase< XArray > const &X, ExprBase< YArray > const &Y, ExprBase< Weights > const &W, bool unbiased=false)
	The covariance between X and Y will be computed using the formula.
template<class XArray , class YArray >
Real	covarianceWithFixedMean (ExprBase< XArray > const &X, ExprBase< YArray > const &Y, typename hidden::Traits< XArray >::Type const &xMu, typename hidden::Traits< YArray >::Type const &yMu, bool unbiased=false)
	Compute the covariance of the variables X and Y with fixed means.
template<class XArray , class YArray >
Real	covarianceWithFixedMeanSafe (ExprBase< XArray > const &X, ExprBase< YArray > const &Y, typename hidden::Traits< XArray >::Type const &xMu, typename hidden::Traits< YArray >::Type const &yMu, bool unbiased=false)
	Compute the covariance of the variables X and Y with fixed means.
template<class XArray , class YArray , class Weights >
Real	covarianceWithFixedMean (ExprBase< XArray > const &X, ExprBase< YArray > const &Y, ExprBase< Weights > const &W, typename hidden::Traits< XArray >::Type const &xMean, typename hidden::Traits< YArray >::Type const &yMean, bool unbiased=false)
	The covariance between X and Y will be computed using the formula.
template<class XArray , class YArray , class Weights >
Real	covarianceWithFixedMeanSafe (ExprBase< XArray > const &X, ExprBase< YArray > const &Y, ExprBase< Weights > const &W, typename hidden::Traits< XArray >::Type const &xMu, typename hidden::Traits< YArray >::Type const &yMu, bool unbiased=false)
	The covariance between X and Y will be computed using the formula.
template<class Array >
CArraySquare< typename Array::Type, Array::sizeCols_, Array::orient_ >	covariance (ExprBase< Array > const &V, bool unbiased=false)
	Compute the covariance matrix using the column of the data set V.
template<class Array >
CArraySquare< typename Array::Type, Array::sizeRows_, Array::orient_ >	covarianceByRow (ExprBase< Array > const &V, bool unbiased=false)
	Compute the covariance matrix using the rows of the data set V.
template<class Array , class Weights >
CArraySquare< typename Array::Type, Array::sizeCols_, Array::orient_ >	covariance (ExprBase< Array > const &V, Weights const &W, bool unbiased=false)
	Compute the weighted covariance matrix using the column of the data set V.
template<class Array , class Weights >
CArraySquare< typename Array::Type, Array::sizeRows_, Array::orient_ >	covarianceByRow (ExprBase< Array > const &V, Weights const &W, bool unbiased=false)
	Compute the weighted covariance matrix using the rows of the data set V.
template<class Array , class Mean >
CArraySquare< typename Array::Type, Array::sizeCols_, Array::orient_ >	covarianceWithFixedMean (ExprBase< Array > const &V, ExprBase< Mean > const &mean, bool unbiased=false)
	Compute the covariance matrix using the columns of the data set V.
template<class Array , class Mean >
CArraySquare< typename Array::Type, Array::sizeRows_, Array::orient_ >	covarianceWithFixedMeanByRow (ExprBase< Array > const &V, ExprBase< Mean > const &mean, bool unbiased=false)
	Compute the covariance matrix using the rows of the data set V.
template<class Array , class Weights , class Mean >
CArraySquare< typename Array::Type, Array::sizeCols_, Array::orient_ >	covarianceWithFixedMean (ExprBase< Array > const &V, Weights const &W, ExprBase< Mean > const &mean, bool unbiased=false)
	Compute the weighted covariance matrix using the column of the data set V.
template<class Array , class Weights , class Mean >
CArraySquare< typename Array::Type, Array::sizeRows_, Array::orient_ >	covarianceWithFixedMeanByRow (ExprBase< Array > const &V, Weights const &W, ExprBase< Mean > const &mean, bool unbiased=false)
	Compute the weighted covariance matrix using the rows of the data set V.
template<class Derived >
hidden::FunctorTraits< Derived, MinOp >::Row	min (Derived const &A)
	Compute the minimal(s) value(s) of A.
template<class Derived , class Weights >
hidden::FunctorTraits< Derived, MinOp >::Row	min (Derived const &A, Weights const &w)
template<class Derived >
hidden::FunctorTraits< Derived, MinOp >::Row	minByCol (Derived const &A)
template<class Derived , class Weights >
hidden::FunctorTraits< Derived, MinOp >::Row	minByCol (Derived const &A, Weights const &w)
template<class Derived >
hidden::FunctorTraits< Derived, MinOp >::Col	minByRow (Derived const &A)
template<class Derived , class Weights >
hidden::FunctorTraits< Derived, MinOp >::Col	minByRow (Derived const &A, Weights const &w)
template<class Derived >
hidden::FunctorTraits< Derived, MinSafeOp >::Row	minSafe (Derived const &A)
	Compute safely the minimal(s) [weighted] value(s) of A.
template<class Derived , class Weights >
hidden::FunctorTraits< Derived, MinSafeOp >::Row	minSafe (Derived const &A, Weights const &w)
template<class Derived >
hidden::FunctorTraits< Derived, MinSafeOp >::Row	minSafeByCol (Derived const &A)
template<class Derived , class Weights >
hidden::FunctorTraits< Derived, MinSafeOp >::Row	minSafeByCol (Derived const &A, Weights const &w)
template<class Derived >
hidden::FunctorTraits< Derived, MinSafeOp >::Col	minSafeByRow (Derived const &A)
template<class Derived , class Weights >
hidden::FunctorTraits< Derived, MinSafeOp >::Col	minSafeByRow (Derived const &A, Weights const &w)
template<class Derived >
hidden::FunctorTraits< Derived, MaxOp >::Row	max (Derived const &A)
	Compute the maximal(s) value(s) of A.
template<class Derived , class Weights >
hidden::FunctorTraits< Derived, MaxOp >::Row	max (Derived const &A, Weights const &w)
template<class Derived >
hidden::FunctorTraits< Derived, MaxOp >::Row	maxByCol (Derived const &A)
template<class Derived , class Weights >
hidden::FunctorTraits< Derived, MaxOp >::Row	maxByCol (Derived const &A, Weights const &w)
template<class Derived >
hidden::FunctorTraits< Derived, MaxOp >::Col	maxByRow (Derived const &A)
template<class Derived , class Weights >
hidden::FunctorTraits< Derived, MaxOp >::Col	maxByRow (Derived const &A, Weights const &w)
template<class Derived >
hidden::FunctorTraits< Derived, MaxSafeOp >::Row	maxSafe (Derived const &A)
	Compute safely the maximal(s) value(s) of A.
template<class Derived , class Weights >
hidden::FunctorTraits< Derived, MaxSafeOp >::Row	maxSafe (Derived const &A, Weights const &w)
template<class Derived >
hidden::FunctorTraits< Derived, MaxSafeOp >::Row	maxSafeByCol (Derived const &A)
template<class Derived , class Weights >
hidden::FunctorTraits< Derived, MaxSafeOp >::Row	maxSafeByCol (Derived const &A, Weights const &w)
template<class Derived >
hidden::FunctorTraits< Derived, MaxSafeOp >::Col	maxSafeByRow (Derived const &A)
template<class Derived , class Weights >
hidden::FunctorTraits< Derived, MaxSafeOp >::Col	maxSafeByRow (Derived const &A, Weights const &w)
template<class Derived >
hidden::FunctorTraits< Derived, SumOp >::Row	sum (Derived const &A)
	Compute the sum of A.
template<class Derived , class Weights >
hidden::FunctorTraits< Derived, SumOp >::Row	sum (Derived const &A, Weights const &w)
template<class Derived >
hidden::FunctorTraits< Derived, SumOp >::Row	sumByCol (Derived const &A)
template<class Derived , class Weights >
hidden::FunctorTraits< Derived, SumOp >::Row	sumByCol (Derived const &A, Weights const &w)
template<class Derived >
hidden::FunctorTraits< Derived, SumOp >::Col	sumByRow (Derived const &A)
template<class Derived , class Weights >
hidden::FunctorTraits< Derived, SumOp >::Col	sumByRow (Derived const &A, Weights const &w)
template<class Derived >
hidden::FunctorTraits< Derived, SumSafeOp >::Row	sumSafe (Derived const &A)
	Compute safely the mean(s) value(s) of A.
template<class Derived , class Weights >
hidden::FunctorTraits< Derived, SumSafeOp >::Row	sumSafe (Derived const &A, Weights const &w)
template<class Derived >
hidden::FunctorTraits< Derived, SumSafeOp >::Row	sumSafeByCol (Derived const &A)
template<class Derived , class Weights >
hidden::FunctorTraits< Derived, SumSafeOp >::Row	sumSafeByCol (Derived const &A, Weights const &w)
template<class Derived >
hidden::FunctorTraits< Derived, SumSafeOp >::Col	sumSafeByRow (Derived const &A)
template<class Derived , class Weights >
hidden::FunctorTraits< Derived, SumSafeOp >::Col	sumSafeByRow (Derived const &A, Weights const &w)
template<class Derived >
hidden::FunctorTraits< Derived, MeanOp >::Row	mean (Derived const &A)
	Compute the mean(s) value(s) of A.
template<class Derived , class Weights >
hidden::FunctorTraits< Derived, MeanOp >::Row	mean (Derived const &A, Weights const &w)
template<class Derived >
hidden::FunctorTraits< Derived, MeanOp >::Row	meanByCol (Derived const &A)
template<class Derived , class Weights >
hidden::FunctorTraits< Derived, MeanOp >::Row	meanByCol (Derived const &A, Weights const &w)
template<class Derived >
hidden::FunctorTraits< Derived, MeanOp >::Col	meanByRow (Derived const &A)
template<class Derived , class Weights >
hidden::FunctorTraits< Derived, MeanOp >::Col	meanByRow (Derived const &A, Weights const &w)
template<class Derived >
hidden::FunctorTraits< Derived, MeanSafeOp >::Row	meanSafe (Derived const &A)
	Compute safely the mean(s) value(s) of A.
template<class Derived , class Weights >
hidden::FunctorTraits< Derived, MeanSafeOp >::Row	meanSafe (Derived const &A, Weights const &w)
template<class Derived >
hidden::FunctorTraits< Derived, MeanSafeOp >::Row	meanSafeByCol (Derived const &A)
template<class Derived , class Weights >
hidden::FunctorTraits< Derived, MeanSafeOp >::Row	meanSafeByCol (Derived const &A, Weights const &w)
template<class Derived >
hidden::FunctorTraits< Derived, MeanSafeOp >::Col	meanSafeByRow (Derived const &A)
template<class Derived , class Weights >
hidden::FunctorTraits< Derived, MeanSafeOp >::Col	meanSafeByRow (Derived const &A, Weights const &w)
template<class Derived >
hidden::FunctorTraits< Derived, VarianceOp >::Row	variance (Derived const &A, bool unbiased=false)
	Compute the variance(s) value(s) of A.
template<class Derived , class Weights >
hidden::FunctorTraits< Derived, VarianceOp >::Row	variance (Derived const &A, ExprBase< Weights > const &w, bool unbiased=false)
template<class Derived >
hidden::FunctorTraits< Derived, VarianceOp >::Row	varianceByCol (Derived const &A, bool unbiased=false)
template<class Derived , class Weights >
hidden::FunctorTraits< Derived, VarianceOp >::Row	varianceByCol (Derived const &A, ExprBase< Weights > const &w, bool unbiased=false)
template<class Derived >
hidden::FunctorTraits< Derived, VarianceOp >::Col	varianceByRow (Derived const &A, bool unbiased=false)
template<class Derived , class Weights >
hidden::FunctorTraits< Derived, VarianceOp >::Col	varianceByRow (Derived const &A, ExprBase< Weights > const &w, bool unbiased=false)
template<class Derived >
hidden::FunctorTraits< Derived, VarianceSafeOp >::Row	varianceSafe (Derived const &A, bool unbiased=false)
	Compute safely the variance(s) value(s) of A.
template<class Derived , class Weights >
hidden::FunctorTraits< Derived, VarianceSafeOp >::Row	varianceSafe (Derived const &A, ExprBase< Weights > const &w, bool unbiased=false)
template<class Derived >
hidden::FunctorTraits< Derived, VarianceSafeOp >::Row	varianceSafeByCol (Derived const &A, bool unbiased=false)
template<class Derived , class Weights >
hidden::FunctorTraits< Derived, VarianceSafeOp >::Row	varianceSafeByCol (Derived const &A, ExprBase< Weights > const &w, bool unbiased=false)
template<class Derived >
hidden::FunctorTraits< Derived, VarianceSafeOp >::Col	varianceSafeByRow (Derived const &A, bool unbiased=false)
template<class Derived , class Weights >
hidden::FunctorTraits< Derived, VarianceSafeOp >::Col	varianceSafeByRow (Derived const &A, ExprBase< Weights > const &w, bool unbiased=false)
template<class Derived , class MeanType >
hidden::FunctorTraits< Derived, VarianceWithFixedMeanOp >::Row	varianceWithFixedMean (Derived const &A, MeanType const &mean, bool unbiased)
	Compute the VarianceWithFixedMean(s) value(s) of A.
template<class Derived , class MeanType , class Weights >
hidden::FunctorTraits< Derived, VarianceWithFixedMeanOp >::Row	varianceWithFixedMean (Derived const &A, ExprBase< Weights > const &w, MeanType const &mean, bool unbiased)
template<class Derived , class MeanType >
hidden::FunctorTraits< Derived, VarianceWithFixedMeanOp >::Row	varianceWithFixedMeanByCol (Derived const &A, MeanType const &mean, bool unbiased)
template<class Derived , class MeanType , class Weights >
hidden::FunctorTraits< Derived, VarianceWithFixedMeanOp >::Row	varianceWithFixedMeanByCol (Derived const &A, ExprBase< Weights > const &w, MeanType const &mean, bool unbiased)
template<class Derived , class MeanType >
hidden::FunctorTraits< Derived, VarianceWithFixedMeanOp >::Col	varianceWithFixedMeanByRow (Derived const &A, MeanType const &mean, bool unbiased=false)
template<class Derived , class MeanType , class Weights >
hidden::FunctorTraits< Derived, VarianceWithFixedMeanOp >::Col	varianceWithFixedMeanByRow (Derived const &A, ExprBase< Weights > const &w, MeanType const &mean, bool unbiased)
template<class Derived , class MeanType >
hidden::FunctorTraits< Derived, VarianceWithFixedMeanSafeOp >::Row	varianceWithFixedMeanSafe (Derived const &A, MeanType const &mean, bool unbiased)
	Compute safely the VarianceWithFixedMean(s) value(s) of A.
template<class Derived , class MeanType , class Weights >
hidden::FunctorTraits< Derived, VarianceWithFixedMeanSafeOp >::Row	varianceWithFixedMeanSafe (Derived const &A, ExprBase< Weights > const &w, MeanType const &mean, bool unbiased)
template<class Derived , class MeanType >
hidden::FunctorTraits< Derived, VarianceWithFixedMeanSafeOp >::Row	varianceWithFixedMeanSafeByCol (Derived const &A, MeanType const &mean, bool unbiased)
template<class Derived , class MeanType , class Weights >
hidden::FunctorTraits< Derived, VarianceWithFixedMeanSafeOp >::Row	varianceWithFixedMeanSafeByCol (Derived const &A, ExprBase< Weights > const &w, MeanType const &mean, bool unbiased)
template<class Derived , class MeanType >
hidden::FunctorTraits< Derived, VarianceWithFixedMeanSafeOp >::Col	varianceWithFixedMeanSafeByRow (Derived const &A, MeanType const &mean, bool unbiased)
template<class Derived , class MeanType , class Weights >
hidden::FunctorTraits< Derived, VarianceWithFixedMeanSafeOp >::Col	varianceWithFixedMeanSafeByRow (Derived const &A, ExprBase< Weights > const &w, MeanType const &mean, bool unbiased)
template<class Array , class RowVector >
void	center (Array &m, RowVector &mean)
	Compute the mean by column of the variables in the container m and center it.
template<class Array , class RowVector >
void	centerByCol (Array &m, RowVector &mean)
template<class Array , class ColVector >
void	centerByRow (Array &m, ColVector &mean)
	Compute the mean by row of the variables in the container V and center V.
template<class Array , class Weights , class RowVector >
void	center (Array &m, Weights const &W, RowVector &mean)
	Compute the weighted mean by column of the variables and center m.
template<class Array , class Weights , class RowVector >
void	centerByCol (Array &m, Weights const &W, RowVector &mean)
template<class Array , class Weights , class ColVector >
void	centerByRow (Array &m, Weights const &W, ColVector &mean)
	Compute the weighted mean of the variables by rows and center m.
template<class Array , class RowVector >
void	standardize (Array &m, RowVector &mean, RowVector &std, bool unbiased=false)
	Compute the mean and the standard deviation by columns of the variable m and standardize it.
template<class RowVector , class Array >
void	standardizeByCol (Array &m, RowVector &mean, RowVector &std, bool unbiased=false)
template<class Array , class ColVector >
void	standardizeByRow (Array &m, ColVector &mean, ColVector &std, bool unbiased=false)
	Compute the mean and the standard deviation by rows of the variable m and standardize it.
template<class Array , class Weights , class RowVector >
void	standardize (Array &m, Weights const &W, RowVector &mean, RowVector &std, bool unbiased=false)
	Compute the weighted means and standard deviations by columns of the variable m and standardize it.
template<class Array , class Weights , class RowVector >
void	standardizeByCol (Array &m, Weights const &W, RowVector &mean, RowVector &std, bool unbiased=false)
template<class Array , class Weights , class ColVector >
void	standardizeByRow (Array &m, Weights const &W, ColVector &mean, ColVector &std, bool unbiased=false)
	Compute the weighted means and standard deviations by rows of the variable m and standardize it.
template<class RowVector , class Array >
void	uncenter (Array &m, RowVector const &mean)
	Add the means to the columns of the container m.
template<class RowVector , class Array >
void	uncenterByCol (Array &m, RowVector const &mean)
template<class ColVector , class Array >
void	uncenterByRow (Array &m, ColVector const &mean)
	Add the means to the rows of the container m.
template<class Array , class RowVector >
void	unstandardize (Array &m, RowVector const &std)
	undo the standardization by columns of the standardized variable m.
template<class Array , class RowVector >
void	unstandardizeByCol (Array &m, RowVector const &std)
template<class Array , class ColVector >
void	unstandardizeByRow (Array &m, ColVector const &std)
	undo the standardization by rows of the standardized variable m.
template<class Array , class RowVector >
void	unstandardize (Array &m, RowVector const &mean, RowVector const &std)
	undo the standardization by columns of the standardized variable m
template<class Array , class RowVector >
void	unstandardizeByCol (Array &m, RowVector const &mean, RowVector const &std)
template<class Array , class ColVector >
void	unstandardizeByRow (Array &m, ColVector const &mean, ColVector const &std)
	undo the standardization by rows of the standardized variable m

Detailed Description

this is the namespace for the statistical treatment.

The namespace Stat enclose the methods and classes for usual statistical treatment of the variable like mean, variance, covariance, ...

Function Documentation

centerByCol() [1/2]

template<class Array , class RowVector >

void STK::Stat::centerByCol ( Array &  m, RowVector &  mean  )

inline

Definition at line 64 of file STK_Stat_Transform.h.

{ center(m, mean);}

References center(), and mean().

Referenced by standardize(), and standardize().

centerByCol() [2/2]

template<class Array , class Weights , class RowVector >

void STK::Stat::centerByCol ( Array &  m, Weights const &  W, RowVector &  mean  )

inline

Definition at line 101 of file STK_Stat_Transform.h.

{ center(m, W, mean);}

References center(), and mean().

max()

template<class Derived , class Weights >

hidden::FunctorTraits< Derived, MaxOp >::Row STK::Stat::max	(	Derived const &	A,
		Weights const &	w
	)

Definition at line 753 of file STK_Stat_Functors.h.

maxByCol() [1/2]

template<class Derived >

hidden::FunctorTraits< Derived, MaxOp >::Row STK::Stat::maxByCol

(

Derived const &

A

)

Definition at line 753 of file STK_Stat_Functors.h.

maxByCol() [2/2]

template<class Derived , class Weights >

hidden::FunctorTraits< Derived, MaxOp >::Row STK::Stat::maxByCol	(	Derived const &	A,
		Weights const &	w
	)

Definition at line 753 of file STK_Stat_Functors.h.

maxByRow() [1/2]

template<class Derived >

hidden::FunctorTraits< Derived, MaxOp >::Col STK::Stat::maxByRow

(

Derived const &

A

)

Definition at line 753 of file STK_Stat_Functors.h.

maxByRow() [2/2]

template<class Derived , class Weights >

hidden::FunctorTraits< Derived, MaxOp >::Col STK::Stat::maxByRow	(	Derived const &	A,
		Weights const &	w
	)

Definition at line 753 of file STK_Stat_Functors.h.

maxSafe()

template<class Derived , class Weights >

hidden::FunctorTraits< Derived, MaxSafeOp >::Row STK::Stat::maxSafe	(	Derived const &	A,
		Weights const &	w
	)

Definition at line 765 of file STK_Stat_Functors.h.

maxSafeByCol() [1/2]

template<class Derived >

hidden::FunctorTraits< Derived, MaxSafeOp >::Row STK::Stat::maxSafeByCol

(

Derived const &

A

)

Definition at line 765 of file STK_Stat_Functors.h.

maxSafeByCol() [2/2]

template<class Derived , class Weights >

hidden::FunctorTraits< Derived, MaxSafeOp >::Row STK::Stat::maxSafeByCol	(	Derived const &	A,
		Weights const &	w
	)

Definition at line 765 of file STK_Stat_Functors.h.

maxSafeByRow() [1/2]

template<class Derived >

hidden::FunctorTraits< Derived, MaxSafeOp >::Col STK::Stat::maxSafeByRow

(

Derived const &

A

)

Definition at line 765 of file STK_Stat_Functors.h.

maxSafeByRow() [2/2]

template<class Derived , class Weights >

hidden::FunctorTraits< Derived, MaxSafeOp >::Col STK::Stat::maxSafeByRow	(	Derived const &	A,
		Weights const &	w
	)

Definition at line 765 of file STK_Stat_Functors.h.

mean()

template<class Derived , class Weights >

hidden::FunctorTraits< Derived, MeanOp >::Row STK::Stat::mean	(	Derived const &	A,
		Weights const &	w
	)

Definition at line 799 of file STK_Stat_Functors.h.

meanByCol() [1/2]

template<class Derived >

hidden::FunctorTraits< Derived, MeanOp >::Row STK::Stat::meanByCol

(

Derived const &

A

)

Definition at line 799 of file STK_Stat_Functors.h.

Referenced by center(), center(), STK::IMixtureComposer::pStep(), STK::ModelParameters< Clust::Gaussian_sjsk_ >::setParameters(), and STK::ModelParameters< Clust::Poisson_ljlk_ >::setParameters().

meanByCol() [2/2]

template<class Derived , class Weights >

hidden::FunctorTraits< Derived, MeanOp >::Row STK::Stat::meanByCol	(	Derived const &	A,
		Weights const &	w
	)

Definition at line 799 of file STK_Stat_Functors.h.

meanByRow() [1/2]

template<class Derived >

hidden::FunctorTraits< Derived, MeanOp >::Col STK::Stat::meanByRow

(

Derived const &

A

)

Definition at line 799 of file STK_Stat_Functors.h.

Referenced by centerByRow(), centerByRow(), covarianceByRow(), covarianceByRow(), main(), STK::ModelParameters< Clust::Gaussian_sjsk_ >::setParameters(), and STK::ModelParameters< Clust::Poisson_ljlk_ >::setParameters().

meanByRow() [2/2]

template<class Derived , class Weights >

hidden::FunctorTraits< Derived, MeanOp >::Col STK::Stat::meanByRow	(	Derived const &	A,
		Weights const &	w
	)

Definition at line 799 of file STK_Stat_Functors.h.

meanSafe()

template<class Derived , class Weights >

hidden::FunctorTraits< Derived, MeanSafeOp >::Row STK::Stat::meanSafe	(	Derived const &	A,
		Weights const &	w
	)

Definition at line 811 of file STK_Stat_Functors.h.

meanSafeByCol() [1/2]

template<class Derived >

hidden::FunctorTraits< Derived, MeanSafeOp >::Row STK::Stat::meanSafeByCol

(

Derived const &

A

)

Definition at line 811 of file STK_Stat_Functors.h.

meanSafeByCol() [2/2]

template<class Derived , class Weights >

hidden::FunctorTraits< Derived, MeanSafeOp >::Row STK::Stat::meanSafeByCol	(	Derived const &	A,
		Weights const &	w
	)

Definition at line 811 of file STK_Stat_Functors.h.

meanSafeByRow() [1/2]

template<class Derived >

hidden::FunctorTraits< Derived, MeanSafeOp >::Col STK::Stat::meanSafeByRow

(

Derived const &

A

)

Definition at line 811 of file STK_Stat_Functors.h.

Referenced by main().

meanSafeByRow() [2/2]

template<class Derived , class Weights >

hidden::FunctorTraits< Derived, MeanSafeOp >::Col STK::Stat::meanSafeByRow	(	Derived const &	A,
		Weights const &	w
	)

Definition at line 811 of file STK_Stat_Functors.h.

min()

template<class Derived , class Weights >

hidden::FunctorTraits< Derived, MinOp >::Row STK::Stat::min	(	Derived const &	A,
		Weights const &	w
	)

Definition at line 726 of file STK_Stat_Functors.h.

minByCol() [1/2]

template<class Derived >

hidden::FunctorTraits< Derived, MinOp >::Row STK::Stat::minByCol

(

Derived const &

A

)

Definition at line 726 of file STK_Stat_Functors.h.

minByCol() [2/2]

template<class Derived , class Weights >

hidden::FunctorTraits< Derived, MinOp >::Row STK::Stat::minByCol	(	Derived const &	A,
		Weights const &	w
	)

Definition at line 726 of file STK_Stat_Functors.h.

minByRow() [1/2]

template<class Derived >

hidden::FunctorTraits< Derived, MinOp >::Col STK::Stat::minByRow

(

Derived const &

A

)

Definition at line 726 of file STK_Stat_Functors.h.

minByRow() [2/2]

template<class Derived , class Weights >

hidden::FunctorTraits< Derived, MinOp >::Col STK::Stat::minByRow	(	Derived const &	A,
		Weights const &	w
	)

Definition at line 726 of file STK_Stat_Functors.h.

minSafe()

template<class Derived , class Weights >

hidden::FunctorTraits< Derived, MinSafeOp >::Row STK::Stat::minSafe	(	Derived const &	A,
		Weights const &	w
	)

Definition at line 740 of file STK_Stat_Functors.h.

minSafeByCol() [1/2]

template<class Derived >

hidden::FunctorTraits< Derived, MinSafeOp >::Row STK::Stat::minSafeByCol

(

Derived const &

A

)

Definition at line 740 of file STK_Stat_Functors.h.

minSafeByCol() [2/2]

template<class Derived , class Weights >

hidden::FunctorTraits< Derived, MinSafeOp >::Row STK::Stat::minSafeByCol	(	Derived const &	A,
		Weights const &	w
	)

Definition at line 740 of file STK_Stat_Functors.h.

minSafeByRow() [1/2]

template<class Derived >

hidden::FunctorTraits< Derived, MinSafeOp >::Col STK::Stat::minSafeByRow

(

Derived const &

A

)

Definition at line 740 of file STK_Stat_Functors.h.

minSafeByRow() [2/2]

template<class Derived , class Weights >

hidden::FunctorTraits< Derived, MinSafeOp >::Col STK::Stat::minSafeByRow	(	Derived const &	A,
		Weights const &	w
	)

Definition at line 740 of file STK_Stat_Functors.h.

standardizeByCol() [1/2]

template<class RowVector , class Array >

void STK::Stat::standardizeByCol ( Array &  m, RowVector &  mean, RowVector &  std, bool  unbiased = false  )

inline

Definition at line 149 of file STK_Stat_Transform.h.

{ standardize(m, mean, std, unbiased);}

References mean(), and standardize().

standardizeByCol() [2/2]

template<class Array , class Weights , class RowVector >

void STK::Stat::standardizeByCol ( Array &  m, Weights const &  W, RowVector &  mean, RowVector &  std, bool  unbiased = false  )

inline

Definition at line 212 of file STK_Stat_Transform.h.

{ standardize(m, W, mean, std, unbiased);}

References mean(), and standardize().

sum()

template<class Derived , class Weights >

hidden::FunctorTraits< Derived, SumOp >::Row STK::Stat::sum	(	Derived const &	A,
		Weights const &	w
	)

Definition at line 776 of file STK_Stat_Functors.h.

sumByCol() [1/2]

template<class Derived >

hidden::FunctorTraits< Derived, SumOp >::Row STK::Stat::sumByCol

(

Derived const &

A

)

Definition at line 776 of file STK_Stat_Functors.h.

Referenced by STK::IMixtureComposer::eStep(), STK::MixtureSemiLearner::eStep(), STK::IMixtureComposer::initializeStep(), STK::Kmm_sk::run(), STK::IMixtureLearner::setClassLabels(), STK::IMixtureLearner::setClassLabels(), STK::IMixtureStatModel::setMixtureParameters(), and STK::IMixtureStatModel::setMixtureParameters().

sumByCol() [2/2]

template<class Derived , class Weights >

hidden::FunctorTraits< Derived, SumOp >::Row STK::Stat::sumByCol	(	Derived const &	A,
		Weights const &	w
	)

Definition at line 776 of file STK_Stat_Functors.h.

sumByRow() [1/2]

template<class Derived >

hidden::FunctorTraits< Derived, SumOp >::Col STK::Stat::sumByRow

(

Derived const &

A

)

Definition at line 776 of file STK_Stat_Functors.h.

Referenced by STK::Poisson_ljlk< Array >::run().

sumByRow() [2/2]

template<class Derived , class Weights >

hidden::FunctorTraits< Derived, SumOp >::Col STK::Stat::sumByRow	(	Derived const &	A,
		Weights const &	w
	)

Definition at line 776 of file STK_Stat_Functors.h.

sumSafe()

template<class Derived , class Weights >

hidden::FunctorTraits< Derived, SumSafeOp >::Row STK::Stat::sumSafe	(	Derived const &	A,
		Weights const &	w
	)

Definition at line 787 of file STK_Stat_Functors.h.

sumSafeByCol() [1/2]

template<class Derived >

hidden::FunctorTraits< Derived, SumSafeOp >::Row STK::Stat::sumSafeByCol

(

Derived const &

A

)

Definition at line 787 of file STK_Stat_Functors.h.

sumSafeByCol() [2/2]

template<class Derived , class Weights >

hidden::FunctorTraits< Derived, SumSafeOp >::Row STK::Stat::sumSafeByCol	(	Derived const &	A,
		Weights const &	w
	)

Definition at line 787 of file STK_Stat_Functors.h.

sumSafeByRow() [1/2]

template<class Derived >

hidden::FunctorTraits< Derived, SumSafeOp >::Col STK::Stat::sumSafeByRow

(

Derived const &

A

)

Definition at line 787 of file STK_Stat_Functors.h.

sumSafeByRow() [2/2]

template<class Derived , class Weights >

hidden::FunctorTraits< Derived, SumSafeOp >::Col STK::Stat::sumSafeByRow	(	Derived const &	A,
		Weights const &	w
	)

Definition at line 787 of file STK_Stat_Functors.h.

uncenter()

template<class RowVector , class Array >

void STK::Stat::uncenter	(	Array &	m,
		RowVector const &	mean
	)

Add the means to the columns of the container m.

Parameters

m,mean	the container with the data and the vector of the mean
mean	the Vector of the means

Definition at line 252 of file STK_Stat_Transform.h.

{
  typedef typename Array::Type Type;
  enum
  {
    sizeRows_ = Array::sizeRows_,
    sizeCols_ = Array::sizeCols_
  };
  if (m.cols() != mean.range())
    STKRUNTIME_ERROR_NO_ARG(Stat::uncenter(m, mean),ranges are not the same);
  // apply uncenter
  m += Const::Vector<Type, sizeRows_>(m.rows())*mean;
}

References mean(), STKRUNTIME_ERROR_NO_ARG, and uncenter().

Referenced by STK::IAAModel< Array >::center(), STK::IAAModel< Array >::center(), uncenter(), uncenterByCol(), and STK::IAAModel< Array >::uncenterResults().

uncenterByCol()

template<class RowVector , class Array >

void STK::Stat::uncenterByCol ( Array &  m, RowVector const &  mean  )

inline

Definition at line 266 of file STK_Stat_Transform.h.

{ uncenter(m, mean);}

References mean(), and uncenter().

Referenced by unstandardize().

uncenterByRow()

template<class ColVector , class Array >

void STK::Stat::uncenterByRow	(	Array &	m,
		ColVector const &	mean
	)

Add the means to the rows of the container m.

Parameters

m,mean	the container with the data and the vector of the mean
mean	the Vector of the means

Definition at line 274 of file STK_Stat_Transform.h.

{
  typedef typename Array::Type Type;
  enum
  {
    sizeRows_ = Array::sizeRows_,
    sizeCols_ = Array::sizeCols_
  };
  if (m.rows() != mean.range())
    STKRUNTIME_ERROR_NO_ARG(Stat::uncenterByRow(m, mean),ranges are not the same);
  // apply uncenter
  m += mean * Const::Point<Type, sizeCols_>(m.cols());
}

References mean(), STKRUNTIME_ERROR_NO_ARG, and uncenterByRow().

Referenced by uncenterByRow(), and unstandardizeByRow().

unstandardizeByCol() [1/2]

template<class Array , class RowVector >

void STK::Stat::unstandardizeByCol ( Array &  m, RowVector const &  mean, RowVector const &  std  )

inline

Definition at line 337 of file STK_Stat_Transform.h.

{ unstandardize(m, mean, std);}

References mean(), and unstandardize().

unstandardizeByCol() [2/2]

template<class Array , class RowVector >

void STK::Stat::unstandardizeByCol ( Array &  m, RowVector const &  std  )

inline

Definition at line 305 of file STK_Stat_Transform.h.

{ unstandardize(m, std);}

References unstandardize().

Referenced by unstandardize().

variance()

template<class Derived , class Weights >

hidden::FunctorTraits< Derived, VarianceOp >::Row STK::Stat::variance	(	Derived const &	A,
		ExprBase< Weights > const &	w,
		bool	unbiased = false
	)

Definition at line 831 of file STK_Stat_Functors.h.

{ return typename hidden::FunctorTraits<Derived, VarianceOp>::ColWeightedOp(A)(w, unbiased);}

varianceByCol() [1/2]

template<class Derived >

hidden::FunctorTraits< Derived, VarianceOp >::Row STK::Stat::varianceByCol	(	Derived const &	A,
		bool	unbiased = false
	)

Definition at line 836 of file STK_Stat_Functors.h.

{ return typename hidden::FunctorTraits<Derived, VarianceOp>::ColOp(A)(unbiased);}

varianceByCol() [2/2]

template<class Derived , class Weights >

hidden::FunctorTraits< Derived, VarianceOp >::Row STK::Stat::varianceByCol	(	Derived const &	A,
		ExprBase< Weights > const &	w,
		bool	unbiased = false
	)

Definition at line 841 of file STK_Stat_Functors.h.

{ return typename hidden::FunctorTraits<Derived, VarianceOp>::ColWeightedOp(A)(w, unbiased);}

varianceByRow() [1/2]

template<class Derived >

hidden::FunctorTraits< Derived, VarianceOp >::Col STK::Stat::varianceByRow	(	Derived const &	A,
		bool	unbiased = false
	)

Definition at line 846 of file STK_Stat_Functors.h.

{ return typename hidden::FunctorTraits<Derived, VarianceOp>::RowOp(A)(unbiased);}

varianceByRow() [2/2]

template<class Derived , class Weights >

hidden::FunctorTraits< Derived, VarianceOp >::Col STK::Stat::varianceByRow	(	Derived const &	A,
		ExprBase< Weights > const &	w,
		bool	unbiased = false
	)

Definition at line 852 of file STK_Stat_Functors.h.

{ return typename hidden::FunctorTraits<Derived, VarianceOp>::RowWeightedOp(A)(w, unbiased);}

varianceSafe()

template<class Derived , class Weights >

hidden::FunctorTraits< Derived, VarianceSafeOp >::Row STK::Stat::varianceSafe	(	Derived const &	A,
		ExprBase< Weights > const &	w,
		bool	unbiased = false
	)

Definition at line 874 of file STK_Stat_Functors.h.

{ return typename hidden::FunctorTraits<Derived, VarianceSafeOp>::ColWeightedOp(A)(w, unbiased);}

varianceSafeByCol() [1/2]

template<class Derived >

hidden::FunctorTraits< Derived, VarianceSafeOp >::Row STK::Stat::varianceSafeByCol	(	Derived const &	A,
		bool	unbiased = false
	)

Definition at line 879 of file STK_Stat_Functors.h.

{ return typename hidden::FunctorTraits<Derived, VarianceSafeOp>::ColOp(A)(unbiased);}

varianceSafeByCol() [2/2]

template<class Derived , class Weights >

hidden::FunctorTraits< Derived, VarianceSafeOp >::Row STK::Stat::varianceSafeByCol	(	Derived const &	A,
		ExprBase< Weights > const &	w,
		bool	unbiased = false
	)

Definition at line 884 of file STK_Stat_Functors.h.

{ return typename hidden::FunctorTraits<Derived, VarianceSafeOp>::ColWeightedOp(A)(w, unbiased);}

varianceSafeByRow() [1/2]

template<class Derived >

hidden::FunctorTraits< Derived, VarianceSafeOp >::Col STK::Stat::varianceSafeByRow	(	Derived const &	A,
		bool	unbiased = false
	)

Definition at line 889 of file STK_Stat_Functors.h.

{ return typename hidden::FunctorTraits<Derived, VarianceSafeOp>::RowOp(A)(unbiased);}

varianceSafeByRow() [2/2]

template<class Derived , class Weights >

hidden::FunctorTraits< Derived, VarianceSafeOp >::Col STK::Stat::varianceSafeByRow	(	Derived const &	A,
		ExprBase< Weights > const &	w,
		bool	unbiased = false
	)

Definition at line 894 of file STK_Stat_Functors.h.

{ return typename hidden::FunctorTraits<Derived, VarianceSafeOp>::RowWeightedOp(A)(w, unbiased);}

varianceWithFixedMean()

template<class Derived , class MeanType , class Weights >

hidden::FunctorTraits< Derived, VarianceWithFixedMeanOp >::Row STK::Stat::varianceWithFixedMean	(	Derived const &	A,
		ExprBase< Weights > const &	w,
		MeanType const &	mean,
		bool	unbiased
	)

Definition at line 917 of file STK_Stat_Functors.h.

{ return typename hidden::FunctorTraits<Derived, VarianceWithFixedMeanOp>::ColWeightedOp(A)(w, mean, unbiased);}

References mean().

varianceWithFixedMeanByCol() [1/2]

template<class Derived , class MeanType , class Weights >

hidden::FunctorTraits< Derived, VarianceWithFixedMeanOp >::Row STK::Stat::varianceWithFixedMeanByCol	(	Derived const &	A,
		ExprBase< Weights > const &	w,
		MeanType const &	mean,
		bool	unbiased
	)

Definition at line 927 of file STK_Stat_Functors.h.

{ return typename hidden::FunctorTraits<Derived, VarianceWithFixedMeanOp>::ColWeightedOp(A)(w, mean, unbiased);}

References mean().

varianceWithFixedMeanByCol() [2/2]

template<class Derived , class MeanType >

hidden::FunctorTraits< Derived, VarianceWithFixedMeanOp >::Row STK::Stat::varianceWithFixedMeanByCol	(	Derived const &	A,
		MeanType const &	mean,
		bool	unbiased
	)

Definition at line 922 of file STK_Stat_Functors.h.

{ return typename hidden::FunctorTraits<Derived, VarianceWithFixedMeanOp>::ColOp(A)(mean, unbiased);}

References mean().

Referenced by standardize(), and standardize().

varianceWithFixedMeanByRow() [1/2]

template<class Derived , class MeanType , class Weights >

hidden::FunctorTraits< Derived, VarianceWithFixedMeanOp >::Col STK::Stat::varianceWithFixedMeanByRow	(	Derived const &	A,
		ExprBase< Weights > const &	w,
		MeanType const &	mean,
		bool	unbiased
	)

Definition at line 937 of file STK_Stat_Functors.h.

{ return typename hidden::FunctorTraits<Derived, VarianceWithFixedMeanOp>::RowWeightedOp(A)(w, mean, unbiased);}

References mean().

varianceWithFixedMeanByRow() [2/2]

template<class Derived , class MeanType >

hidden::FunctorTraits< Derived, VarianceWithFixedMeanOp >::Col STK::Stat::varianceWithFixedMeanByRow	(	Derived const &	A,
		MeanType const &	mean,
		bool	unbiased = false
	)

Definition at line 932 of file STK_Stat_Functors.h.

{ return typename hidden::FunctorTraits<Derived, VarianceWithFixedMeanOp>::RowOp(A)(mean, unbiased);}

References mean().

Referenced by standardizeByRow(), and standardizeByRow().

varianceWithFixedMeanSafe()

template<class Derived , class MeanType , class Weights >

hidden::FunctorTraits< Derived, VarianceWithFixedMeanSafeOp >::Row STK::Stat::varianceWithFixedMeanSafe	(	Derived const &	A,
		ExprBase< Weights > const &	w,
		MeanType const &	mean,
		bool	unbiased
	)

Definition at line 956 of file STK_Stat_Functors.h.

{ return typename hidden::FunctorTraits<Derived, VarianceWithFixedMeanSafeOp>::ColWeightedOp(A)(w, mean, unbiased);}

References mean().

varianceWithFixedMeanSafeByCol() [1/2]

template<class Derived , class MeanType , class Weights >

hidden::FunctorTraits< Derived, VarianceWithFixedMeanSafeOp >::Row STK::Stat::varianceWithFixedMeanSafeByCol	(	Derived const &	A,
		ExprBase< Weights > const &	w,
		MeanType const &	mean,
		bool	unbiased
	)

Definition at line 966 of file STK_Stat_Functors.h.

{ return typename hidden::FunctorTraits<Derived, VarianceWithFixedMeanSafeOp>::ColWeightedOp(A)(w, mean, unbiased);}

References mean().

varianceWithFixedMeanSafeByCol() [2/2]

template<class Derived , class MeanType >

hidden::FunctorTraits< Derived, VarianceWithFixedMeanSafeOp >::Row STK::Stat::varianceWithFixedMeanSafeByCol	(	Derived const &	A,
		MeanType const &	mean,
		bool	unbiased
	)

Definition at line 961 of file STK_Stat_Functors.h.

{ return typename hidden::FunctorTraits<Derived, VarianceWithFixedMeanSafeOp>::ColOp(A)(mean, unbiased);}

References mean().

varianceWithFixedMeanSafeByRow() [1/2]

template<class Derived , class MeanType , class Weights >

hidden::FunctorTraits< Derived, VarianceWithFixedMeanSafeOp >::Col STK::Stat::varianceWithFixedMeanSafeByRow	(	Derived const &	A,
		ExprBase< Weights > const &	w,
		MeanType const &	mean,
		bool	unbiased
	)

Definition at line 976 of file STK_Stat_Functors.h.

{ return typename hidden::FunctorTraits<Derived, VarianceWithFixedMeanOp>::RowWeightedOp(A)(w, mean, unbiased);}

References mean().

varianceWithFixedMeanSafeByRow() [2/2]

template<class Derived , class MeanType >

hidden::FunctorTraits< Derived, VarianceWithFixedMeanSafeOp >::Col STK::Stat::varianceWithFixedMeanSafeByRow	(	Derived const &	A,
		MeanType const &	mean,
		bool	unbiased
	)

Definition at line 971 of file STK_Stat_Functors.h.

{ return typename hidden::FunctorTraits<Derived, VarianceWithFixedMeanSafeOp>::RowOp(A)(mean, unbiased);}

References mean().