#include </home/runner/work/SedSat3/SedSat3/multiplelinearregression.h>

Inheritance diagram for MultipleLinearRegression:

Collaboration diagram for MultipleLinearRegression:

Public Member Functions
	MultipleLinearRegression ()

	MultipleLinearRegression (const MultipleLinearRegression &mp)

MultipleLinearRegression &	operator= (const MultipleLinearRegression &mp)

double	Regress (const vector< vector< double > > &independent, const vector< double > dependent, const vector< string > &indep_vars_names)

double	SSE_reduced_model (const vector< vector< double > > &independent, const vector< double > dependent, int eliminated_var)

QJsonObject	toJsonObject () const override
	Serialize object to JSON format.

string	ToString () const override
	Convert object to string representation.

bool	ReadFromJsonObject (const QJsonObject &jsonobject) override
	Deserialize object from JSON format.

vector< double >	CoefficientsIntercept () const

vector< string > &	GetIndependentVariableNames ()

vector< string >	GetIndependentVariableNames () const

vector< double > &	IndependentData (const string &var_name)

vector< double > &	DependentData ()

double	MeanIndependentVar (int i)

double	GeoMeanIndependentVar (int i)

string	DependentVariableName ()

void	SetDependentVariableName (const string name)

vector< double >	P_Value ()

void	SetEffective (int i, bool eff)

bool	Effective (int i) const

regression_form	Equation () const

void	SetEquation (regression_form form)

void	SetPValueThreshold (const double &p)

double	PValueThreshold ()

Public Member Functions inherited from Interface
	Interface ()
	Default constructor.

	Interface (const Interface &intf)
	Copy constructor.

Interface &	operator= (const Interface &intf)
	Assignment operator.

virtual bool	writetofile (QFile *file)
	Write object data to a file.

virtual bool	Read (const QStringList &strlist)
	Parse object data from a string list.

virtual QTableWidget *	ToTable ()
	Create a Qt table widget representation of the data.

string	GetNotes () const
	Get the notes/annotations associated with this object.

void	SetNotes (const string &note)
	Set the notes for this object, replacing any existing notes.

void	AppendtoNotes (const string &note)
	Append a note to existing notes.

void	ClearNotes ()
	Clear all notes associated with this object.

void	SetLimit (_range lowhigh, const double &value)
	Set upper or lower limit for value highlighting.

void	SetOption (options_key opt, bool val)
	Set a configuration option.

bool	Option (options_key opt)
	Get the current value of a configuration option.

options &	GetOptions ()
	Get reference to the options structure.

QString	XAxisLabel () const
	Get the X-axis label.

QString	YAxisLabel () const
	Get the Y-axis label.

bool	SetXAxisLabel (const QString &label)
	Set the X-axis label.

bool	SetYAxisLabel (const QString &label)
	Set the Y-axis label.

Private Attributes
vector< double >	coefficients_intercept_

vector< vector< double > >	independent_data

vector< double >	dependent_data

string	dependent_variable_name

vector< string >	independent_variables_names

CMBMatrix	correlation_matrix_

double	chisq

double	R2

double	R2_adj

vector< double >	p_value

double	p_value_threshold = 0.05

vector< bool >	make_effective

regression_form	regressionEquation = regression_form::linear

Additional Inherited Members
Public Attributes inherited from Interface
double	lowlimit
	Lower threshold for value highlighting (when enabled)

double	highlimit
	Upper threshold for value highlighting (when enabled)

bool	highlightoutsideoflimit = false
	Flag indicating whether to highlight values outside defined limits.

Detailed Description

Examples: /home/runner/work/SedSat3/SedSat3/src/elemental_profile.cpp.

Definition at line 9 of file multiplelinearregression.h.

Constructor & Destructor Documentation

◆ MultipleLinearRegression() [1/2]

MultipleLinearRegression::MultipleLinearRegression ( )

Definition at line 9 of file multiplelinearregression.cpp.

◆ MultipleLinearRegression() [2/2]

MultipleLinearRegression::MultipleLinearRegression ( const MultipleLinearRegression & mp )

Definition at line 14 of file multiplelinearregression.cpp.

References chisq, coefficients_intercept_, correlation_matrix_, dependent_data, dependent_variable_name, independent_data, independent_variables_names, make_effective, p_value, p_value_threshold, R2, R2_adj, and regressionEquation.

Member Function Documentation

◆ CoefficientsIntercept()

vector< double > MultipleLinearRegression::CoefficientsIntercept ( ) const

Definition at line 298 of file multiplelinearregression.cpp.

References coefficients_intercept_.

◆ DependentData()

vector< double > & MultipleLinearRegression::DependentData ( )

inline

Definition at line 29 of file multiplelinearregression.h.

References dependent_data.

◆ DependentVariableName()

string MultipleLinearRegression::DependentVariableName ( )

inline

Definition at line 35 of file multiplelinearregression.h.

References dependent_variable_name.

◆ Effective()

bool MultipleLinearRegression::Effective ( int i ) const

inline

Definition at line 39 of file multiplelinearregression.h.

References make_effective.

Referenced by toJsonObject().

◆ Equation()

regression_form MultipleLinearRegression::Equation ( ) const

inline

Definition at line 40 of file multiplelinearregression.h.

References regressionEquation.

◆ GeoMeanIndependentVar()

double MultipleLinearRegression::GeoMeanIndependentVar ( int i )

Definition at line 309 of file multiplelinearregression.cpp.

References independent_data.

◆ GetIndependentVariableNames() [1/2]

vector< string > & MultipleLinearRegression::GetIndependentVariableNames ( )

inline

Definition at line 21 of file multiplelinearregression.h.

References independent_variables_names.

◆ GetIndependentVariableNames() [2/2]

vector< string > MultipleLinearRegression::GetIndependentVariableNames ( ) const

inline

Definition at line 24 of file multiplelinearregression.h.

References independent_variables_names.

◆ IndependentData()

vector< double > & MultipleLinearRegression::IndependentData ( const string & var_name )

Definition at line 340 of file multiplelinearregression.cpp.

References independent_data, and independent_variables_names.

◆ MeanIndependentVar()

double MultipleLinearRegression::MeanIndependentVar ( int i )

Definition at line 304 of file multiplelinearregression.cpp.

References independent_data.

◆ operator=()

MultipleLinearRegression & MultipleLinearRegression::operator= ( const MultipleLinearRegression & mp )

Definition at line 31 of file multiplelinearregression.cpp.

References chisq, coefficients_intercept_, correlation_matrix_, dependent_data, dependent_variable_name, independent_data, independent_variables_names, make_effective, Interface::operator=(), p_value, p_value_threshold, R2, R2_adj, and regressionEquation.

◆ P_Value()

vector< double > MultipleLinearRegression::P_Value ( )

inline

Definition at line 37 of file multiplelinearregression.h.

References p_value.

◆ PValueThreshold()

double MultipleLinearRegression::PValueThreshold ( )

inline

Definition at line 47 of file multiplelinearregression.h.

References p_value_threshold.

◆ ReadFromJsonObject()

bool MultipleLinearRegression::ReadFromJsonObject ( const QJsonObject & jsonobject )

overridevirtual

Deserialize object from JSON format.

Parameters

jsonobject The JSON object to read from

Returns: true if deserialization was successful, false otherwise

Pure virtual method for JSON deserialization. Derived classes must implement this to reconstruct their data structure from a JSON object.

Warning: Implementations should validate JSON structure and handle missing fields gracefully

Reimplemented from Interface.

Definition at line 246 of file multiplelinearregression.cpp.

References chisq, coefficients_intercept_, dependent_data, independent_data, independent_variables_names, linear, make_effective, p_value, power, R2, R2_adj, and regressionEquation.

Referenced by MultipleLinearRegressionSet::ReadFromJsonObject().

◆ Regress()

double MultipleLinearRegression::Regress	(	const vector< vector< double > > &	independent,
		const vector< double >	dependent,
		const vector< string > &	indep_vars_names
	)

Definition at line 114 of file multiplelinearregression.cpp.

References chisq, coefficients_intercept_, correlation_matrix_, dependent_data, dependent_variable_name, independent_data, independent_variables_names, linear, log, make_effective, p_value, p_value_threshold, R2, R2_adj, regressionEquation, SSE_reduced_model(), and y.

Referenced by Elemental_Profile_Set::BuildRegressionModel().

◆ SetDependentVariableName()

void MultipleLinearRegression::SetDependentVariableName ( const string name )

inline

Definition at line 36 of file multiplelinearregression.h.

References dependent_variable_name, and name.

Referenced by Elemental_Profile_Set::BuildRegressionModel().

◆ SetEffective()

void MultipleLinearRegression::SetEffective	(	int	i,
		bool	eff
	)

inline

Definition at line 38 of file multiplelinearregression.h.

References make_effective.

◆ SetEquation()

void MultipleLinearRegression::SetEquation ( regression_form form )

inline

Definition at line 41 of file multiplelinearregression.h.

References regressionEquation.

Referenced by Elemental_Profile_Set::BuildRegressionModel().

◆ SetPValueThreshold()

void MultipleLinearRegression::SetPValueThreshold ( const double & p )

inline

Definition at line 44 of file multiplelinearregression.h.

References p_value_threshold.

Referenced by Elemental_Profile_Set::BuildRegressionModel().

◆ SSE_reduced_model()

double MultipleLinearRegression::SSE_reduced_model	(	const vector< vector< double > > &	independent,
		const vector< double >	dependent,
		int	eliminated_var
	)

Definition at line 50 of file multiplelinearregression.cpp.

References linear, log, regressionEquation, and y.

Referenced by Regress().

◆ toJsonObject()

QJsonObject MultipleLinearRegression::toJsonObject ( ) const

overridevirtual

Serialize object to JSON format.

Returns: QJsonObject containing the serialized data

Pure virtual method for JSON serialization. Derived classes must implement this to convert their data structure to a JSON object suitable for saving to .json files or transmitting over network.

Note: The JSON structure is determined by the derived class

Reimplemented from Interface.

Definition at line 201 of file multiplelinearregression.cpp.

References chisq, coefficients_intercept_, dependent_data, Effective(), independent_data, independent_variables_names, linear, p_value, R2, R2_adj, and regressionEquation.

◆ ToString()

string MultipleLinearRegression::ToString ( ) const

overridevirtual

Convert object to string representation.

Returns: String representation of the object's data

Pure virtual method that must be implemented by derived classes to provide a human-readable string representation of their data. Typically used for text file export or debugging.

Note: Format is determined by the derived class implementation

Reimplemented from Interface.

Definition at line 313 of file multiplelinearregression.cpp.

References chisq, coefficients_intercept_, independent_variables_names, linear, p_value, R2, R2_adj, and regressionEquation.

Referenced by MultipleLinearRegressionSet::ToString().

Member Data Documentation

◆ chisq

double MultipleLinearRegression::chisq

private

Definition at line 58 of file multiplelinearregression.h.

Referenced by MultipleLinearRegression(), operator=(), ReadFromJsonObject(), Regress(), toJsonObject(), and ToString().

◆ coefficients_intercept_

vector<double> MultipleLinearRegression::coefficients_intercept_

private

Definition at line 52 of file multiplelinearregression.h.

Referenced by MultipleLinearRegression(), CoefficientsIntercept(), operator=(), ReadFromJsonObject(), Regress(), toJsonObject(), and ToString().

◆ correlation_matrix_

CMBMatrix MultipleLinearRegression::correlation_matrix_

private

Definition at line 57 of file multiplelinearregression.h.

Referenced by MultipleLinearRegression(), operator=(), and Regress().

◆ dependent_data

vector<double> MultipleLinearRegression::dependent_data

private

Definition at line 54 of file multiplelinearregression.h.

Referenced by MultipleLinearRegression(), DependentData(), operator=(), ReadFromJsonObject(), Regress(), and toJsonObject().

◆ dependent_variable_name

string MultipleLinearRegression::dependent_variable_name

private

Definition at line 55 of file multiplelinearregression.h.

Referenced by MultipleLinearRegression(), DependentVariableName(), operator=(), Regress(), and SetDependentVariableName().

◆ independent_data

vector<vector<double> > MultipleLinearRegression::independent_data

private

Definition at line 53 of file multiplelinearregression.h.

Referenced by MultipleLinearRegression(), GeoMeanIndependentVar(), IndependentData(), MeanIndependentVar(), operator=(), ReadFromJsonObject(), Regress(), and toJsonObject().

◆ independent_variables_names

vector<string> MultipleLinearRegression::independent_variables_names

private

Definition at line 56 of file multiplelinearregression.h.

Referenced by MultipleLinearRegression(), GetIndependentVariableNames(), GetIndependentVariableNames(), IndependentData(), operator=(), ReadFromJsonObject(), Regress(), toJsonObject(), and ToString().

◆ make_effective

vector<bool> MultipleLinearRegression::make_effective

private

Definition at line 61 of file multiplelinearregression.h.

Referenced by MultipleLinearRegression(), Effective(), operator=(), ReadFromJsonObject(), Regress(), and SetEffective().

◆ p_value

vector<double> MultipleLinearRegression::p_value

private

Definition at line 59 of file multiplelinearregression.h.

Referenced by MultipleLinearRegression(), operator=(), P_Value(), ReadFromJsonObject(), Regress(), toJsonObject(), and ToString().

◆ p_value_threshold

double MultipleLinearRegression::p_value_threshold = 0.05

private

Definition at line 60 of file multiplelinearregression.h.

Referenced by MultipleLinearRegression(), operator=(), PValueThreshold(), Regress(), and SetPValueThreshold().

◆ R2

double MultipleLinearRegression::R2

private

Definition at line 58 of file multiplelinearregression.h.

Referenced by MultipleLinearRegression(), operator=(), ReadFromJsonObject(), Regress(), toJsonObject(), and ToString().

◆ R2_adj

double MultipleLinearRegression::R2_adj

private

Definition at line 58 of file multiplelinearregression.h.

Referenced by MultipleLinearRegression(), operator=(), ReadFromJsonObject(), Regress(), toJsonObject(), and ToString().

◆ regressionEquation

regression_form MultipleLinearRegression::regressionEquation = regression_form::linear

private

Definition at line 62 of file multiplelinearregression.h.

Referenced by MultipleLinearRegression(), Equation(), operator=(), ReadFromJsonObject(), Regress(), SetEquation(), SSE_reduced_model(), toJsonObject(), and ToString().

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

Public Member Functions

Private Attributes

Additional Inherited Members

Detailed Description

Constructor & Destructor Documentation

◆ MultipleLinearRegression() [1/2]

◆ MultipleLinearRegression() [2/2]

Member Function Documentation

◆ CoefficientsIntercept()

◆ DependentData()

◆ DependentVariableName()

◆ Effective()

◆ Equation()

◆ GeoMeanIndependentVar()

◆ GetIndependentVariableNames() [1/2]

◆ GetIndependentVariableNames() [2/2]

◆ IndependentData()

◆ MeanIndependentVar()

◆ operator=()

◆ P_Value()

◆ PValueThreshold()

◆ ReadFromJsonObject()

◆ Regress()

◆ SetDependentVariableName()

◆ SetEffective()

◆ SetEquation()

◆ SetPValueThreshold()

◆ SSE_reduced_model()

◆ toJsonObject()

◆ ToString()

Member Data Documentation

◆ chisq

◆ coefficients_intercept_

◆ correlation_matrix_

◆ dependent_data

◆ dependent_variable_name

◆ independent_data

◆ independent_variables_names

◆ make_effective

◆ p_value

◆ p_value_threshold

◆ R2

◆ R2_adj

◆ regressionEquation