lti::serialStatsExtFunctor< T, U > Class Template Reference

Functor which computes several kinds of means for vectors and matrices. More...

#include <ltiSerialStatsExtFunctor.h>

Inheritance diagram for lti::serialStatsExtFunctor< T, U >:

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Collaboration diagram for lti::serialStatsExtFunctor< T, U >:

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List of all members.

Classes
class	parameters
	the parameters for the class meansFunctor More...
Public Member Functions
	serialStatsExtFunctor ()
	serialStatsExtFunctor (const serialStatsExtFunctor &other)
virtual	~serialStatsExtFunctor ()
virtual const char *	getTypeName () const
void	apply (U &mean, U &variance, U &min, U &max) const
void	apply (vector< U > &mean, vector< U > &variance, vector< U > &min, vector< U > &max) const
void	consider (const T &element)
void	consider (const T &element, const int &n)
void	consider (const vector< T > &element)
void	consider (const vector< T > &element, const int &n)
void	considerElements (const vector< T > &elements)
void	considerElements (const matrix< T > &elements)
void	considerElements (const matrix< T > &elements, const rectangle &rect)
void	considerRows (const matrix< T > &elements)
U	getMean () const
U	getVariance () const
U	getMin () const
U	getMax () const
U	getSumOfElements () const
U	getSumOfSquares () const
int	getN () const
int	getNVectors () const
void	getMean (vector< U > &m) const
void	getVariance (vector< U > &v) const
void	getMin (vector< U > &m) const
void	getMax (vector< U > &m) const
void	getSumOfVectors (vector< U > &s) const
void	getSumOfVectorSquares (vector< U > &s) const
const vector< U > &	getSumOfVectors () const
const vector< U > &	getSumOfVectorSquares () const
void	reset ()
serialStatsExtFunctor &	copy (const serialStatsExtFunctor &other)
virtual functor *	clone () const
const parameters &	getParameters () const

---

Detailed Description

template<class T, class U = T>
class lti::serialStatsExtFunctor< T, U >

Functor which computes several kinds of means for vectors and matrices.

It also computes the extremes of the given data, which is the main difference with his brother functor lti::serialStatsFunctor

The first template parameter T describes the type of the vectors and matrices to be analysed. The second parameter U (usually the same type as T) specify the type of the statistics.

For example, if you want to compute the mean and variance of the elements {2,5,6,7,9} with double precision, you can use following code:

 lti::serialStatsExtFunctor<double> stats;
 double theAverage,theVariance;
 double data[] = {2,5,6,7,9};
 lti::vector vct(5,data);

 stats.considerElements(vct);
 stats.apply(theAverage,theVariance);
 cout << "Average: " << theAverage << " Variance: " << theVariance << endl;

It is also possible to compute the average/variance for each component withing lti::vectors.

---

Constructor & Destructor Documentation

template<class T, class U = T>

lti::serialStatsExtFunctor< T, U >::serialStatsExtFunctor

(

)

default constructor

template<class T, class U = T>

lti::serialStatsExtFunctor< T, U >::serialStatsExtFunctor

(

const serialStatsExtFunctor< T, U > &

other

)

copy constructor

Parameters:

other

the object to be copied

template<class T, class U = T>

virtual lti::serialStatsExtFunctor< T, U >::~serialStatsExtFunctor

(

)

[virtual]

destructor

---

Member Function Documentation

template<class T, class U = T>

void lti::serialStatsExtFunctor< T, U >::apply	(	vector< U > &	mean,
		vector< U > &	variance,
		vector< U > &	min,
		vector< U > &	max
	)			const

returns mean and variance vectors of the data vectors considered so far.

Parameters:

	mean	the result, where the mean will be put
	variance	the result, where the variable will be put
	min	contains the minimum value for each dimension found in the data.
	max	contains the maximum value for each dimension found in the data.

template<class T, class U = T>

void lti::serialStatsExtFunctor< T, U >::apply	(	U &	mean,
		U &	variance,
		U &	min,
		U &	max
	)			const

returns mean and variance of the data elements considered so far.

Parameters:

	mean	the result, where the mean will be put
	variance	the result, where the variable will be put
	min	the minimum value considered until now
	max	the maximum value considered until now

template<class T, class U = T>

virtual functor* lti::serialStatsExtFunctor< T, U >::clone

(

)

const [virtual]

returns a pointer to a clone of this functor.

Reimplemented from lti::statisticsFunctor.

template<class T, class U = T>

void lti::serialStatsExtFunctor< T, U >::consider	(	const vector< T > &	element,
		const int &	n
	)

This function considers the given vector for computing the mean and variance, as if it were presented n times.

template<class T, class U = T>

void lti::serialStatsExtFunctor< T, U >::consider

(

const vector< T > &

element

)

This function considers the given vector for computing the mean and variance.

template<class T, class U = T>

void lti::serialStatsExtFunctor< T, U >::consider	(	const T &	element,
		const int &	n
	)

This function considers the given element for computing the mean and variance as if it were presented n times.

template<class T, class U = T>

void lti::serialStatsExtFunctor< T, U >::consider

(

const T &

element

)

This function considers the given element for computing the mean and variance.

template<class T, class U = T>

void lti::serialStatsExtFunctor< T, U >::considerElements	(	const matrix< T > &	elements,
		const rectangle &	rect
	)

Consider also all elements of the given matrix which lie within the given rectangle.

template<class T, class U = T>

void lti::serialStatsExtFunctor< T, U >::considerElements

(

const matrix< T > &

elements

)

Consider also all elements of the given matrix.

template<class T, class U = T>

void lti::serialStatsExtFunctor< T, U >::considerElements

(

const vector< T > &

elements

)

Consider also all elements of the given vector.

template<class T, class U = T>

void lti::serialStatsExtFunctor< T, U >::considerRows

(

const matrix< T > &

elements

)

Consider all rows of the given matrix as vectors.

template<class T, class U = T>

serialStatsExtFunctor& lti::serialStatsExtFunctor< T, U >::copy

(

const serialStatsExtFunctor< T, U > &

other

)

copy data of "other" functor.

Parameters:

other

the functor to be copied

Returns:

a reference to this functor object

Reimplemented from lti::statisticsFunctor.

template<class T, class U = T>

void lti::serialStatsExtFunctor< T, U >::getMax

(

vector< U > &

m

)

const

Get the minimum of all vectors (minimum at each component) considered so far.

template<class T, class U = T>

U lti::serialStatsExtFunctor< T, U >::getMax

(

)

const

The maximum value of all values presented until now.

template<class T, class U = T>

void lti::serialStatsExtFunctor< T, U >::getMean

(

vector< U > &

m

)

const

The mean of all vectors that have been considered so far.

template<class T, class U = T>

U lti::serialStatsExtFunctor< T, U >::getMean

(

)

const

The mean of all elements that have been considered so far.

template<class T, class U = T>

void lti::serialStatsExtFunctor< T, U >::getMin

(

vector< U > &

m

)

const

Get the minimum of all vectors (minimum at each component) considered so far.

template<class T, class U = T>

U lti::serialStatsExtFunctor< T, U >::getMin

(

)

const

The minimum value of all values presented until now.

template<class T, class U = T>

int lti::serialStatsExtFunctor< T, U >::getN

(

)

const

return the number of elements considered so far

template<class T, class U = T>

int lti::serialStatsExtFunctor< T, U >::getNVectors

(

)

const

return the number of vectors considered so far

template<class T, class U = T>

const parameters& lti::serialStatsExtFunctor< T, U >::getParameters

(

)

const

returns used parameters

Reimplemented from lti::statisticsFunctor.

template<class T, class U = T>

U lti::serialStatsExtFunctor< T, U >::getSumOfElements

(

)

const

The sum of all elements that have been considered so far.

template<class T, class U = T>

U lti::serialStatsExtFunctor< T, U >::getSumOfSquares

(

)

const

The sum of the squares of of all elements that have been considered so far.

template<class T, class U = T>

const vector<U>& lti::serialStatsExtFunctor< T, U >::getSumOfVectors

(

)

const

The sum of all vectors that have been considered so far.

Returns:

a read-only reference to the internal data

template<class T, class U = T>

void lti::serialStatsExtFunctor< T, U >::getSumOfVectors

(

vector< U > &

s

)

const

The sum of all vectors that have been considered so far.

The values will be copied into the given vector.

template<class T, class U = T>

const vector<U>& lti::serialStatsExtFunctor< T, U >::getSumOfVectorSquares

(

)

const

The sum of the squares of all vectors that have been considered so far.

Returns:

a read-only reference to the internal data

template<class T, class U = T>

void lti::serialStatsExtFunctor< T, U >::getSumOfVectorSquares

(

vector< U > &

s

)

const

The sum of the squares of all vectors that have been considered so far.

The values will be copied into the given vector.

template<class T, class U = T>

virtual const char* lti::serialStatsExtFunctor< T, U >::getTypeName

(

)

const [virtual]

returns the name of this type ("serialStatsExtFunctor")

Reimplemented from lti::statisticsFunctor.

template<class T, class U = T>

void lti::serialStatsExtFunctor< T, U >::getVariance

(

vector< U > &

v

)

const

The variance of all vectors that have been considered so far.

template<class T, class U = T>

U lti::serialStatsExtFunctor< T, U >::getVariance

(

)

const

The variance of all elements that have been considered so far.

template<class T, class U = T>

void lti::serialStatsExtFunctor< T, U >::reset

(

)

Reset the series, i.e.

discard all considered elements.

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

• ltiSerialStatsExtFunctor.h