TransformationModelLinear Class Reference

Linear model for transformations. More...

#include <OpenMS/ANALYSIS/MAPMATCHING/TransformationModelLinear.h>

Inheritance diagram for TransformationModelLinear:

Collaboration diagram for TransformationModelLinear:

Public Member Functions
	TransformationModelLinear (const DataPoints &data, const Param &params)
	Constructor. More...
	~TransformationModelLinear () override=default
	Destructor. More...
double	evaluate (double value) const override
	Evaluates the model at the given value. More...
void	getParameters (double &slope, double &intercept, String &x_weight, String &y_weight, double &x_datum_min, double &x_datum_max, double &y_datum_min, double &y_datum_max) const
	Gets the "real" parameters. More...
void	invert ()
	Computes the inverse. More...
const Param &	getParameters () const
	Gets the (actual) parameters. More...
Public Member Functions inherited from TransformationModel
	TransformationModel ()
	Constructor. More...
	TransformationModel (const TransformationModel::DataPoints &, const Param &)
virtual	~TransformationModel ()
	Destructor. More...
virtual void	weightData (DataPoints &data)
	Weight the data by the given weight function. More...
virtual void	unWeightData (DataPoints &data)
	Unweight the data by the given weight function. More...
bool	checkValidWeight (const String &weight, const std::vector< String > &valid_weights) const
	Check for a valid weighting function string. More...
double	checkDatumRange (const double &datum, const double &datum_min, const double &datum_max)
	Check that the datum is within the valid min and max bounds. More...
double	weightDatum (const double &datum, const String &weight) const
	Weight the data according to the weighting function. More...
double	unWeightDatum (const double &datum, const String &weight) const
	Apply the reverse of the weighting function to the data. More...
const Param &	getParameters () const
	Gets the (actual) parameters. More...
std::vector< String >	getValidXWeights () const
	Returns a list of valid x weight function strings. More...
std::vector< String >	getValidYWeights () const
	Returns a list of valid y weight function strings. More...

Static Public Member Functions
static void	getDefaultParameters (Param &params)
	Gets the default parameters. More...
Static Public Member Functions inherited from TransformationModel
static void	getDefaultParameters (Param &params)
	Gets the default parameters. More...

Protected Attributes
double	slope_
	Parameters of the linear model. More...
double	intercept_
bool	data_given_
	Was the model estimated from data? More...
bool	symmetric_
	Use symmetric regression? More...
Protected Attributes inherited from TransformationModel
Param	params_
	Parameters. More...
String	x_weight_
	x weighting More...
double	x_datum_min_
double	x_datum_max_
String	y_weight_
	y weighting More...
double	y_datum_min_
double	y_datum_max_
bool	weighting_

Additional Inherited Members
Public Types inherited from TransformationModel
typedef std::vector< DataPoint >	DataPoints
	Vector of coordinate pairs. More...

Detailed Description

Linear model for transformations.

The model can be inferred from data or specified using explicit parameters. If data is given, a least squares fit is used to find the model parameters (slope and intercept). Depending on parameter symmetric_regression, a normal regression (y on x) or symmetric regression ( on ) is performed.

Without data, the model can be specified by giving the parameters slope, intercept, x_weight, y_weight explicitly.

Constructor & Destructor Documentation

TransformationModelLinear()

TransformationModelLinear	(	const DataPoints &	data,
		const Param &	params
	)

Constructor.

Exceptions

IllegalArgument

is thrown if neither data points nor explicit parameters (slope/intercept) are given.

~TransformationModelLinear()

~TransformationModelLinear ( )

overridedefault

Destructor.

Member Function Documentation

evaluate()

double evaluate ( double  value ) const

overridevirtual

Evaluates the model at the given value.

Reimplemented from TransformationModel.

getDefaultParameters()

static void getDefaultParameters ( Param &  params )

static

Gets the default parameters.

getParameters() [1/2]

const Param& getParameters

Gets the (actual) parameters.

getParameters() [2/2]

void getParameters	(	double &	slope,
		double &	intercept,
		String &	x_weight,
		String &	y_weight,
		double &	x_datum_min,
		double &	x_datum_max,
		double &	y_datum_min,
		double &	y_datum_max
	)		const

Gets the "real" parameters.

invert()

void invert

(

)

Computes the inverse.

Exceptions

DivisionByZero

is thrown if the slope is zero.

Member Data Documentation

data_given_

bool data_given_

protected

Was the model estimated from data?

intercept_

double intercept_

protected

slope_

double slope_

protected

Parameters of the linear model.

symmetric_

bool symmetric_

protected

Use symmetric regression?