Fit Class Reference

Inheritance diagram for Fit:

List of all members.

Public Types
enum	Algorithm {   ScaledLevenbergMarquardt, UnscaledLevenbergMarquardt, NelderMeadSimplex, MPFIT,   SVD }
Public Member Functions
double	adjustedRSquare ()
bool	canGuessInitialValues ()
double	chiSquare ()
Table *	confidenceBandsTable ()
	Table window used for the output of the confidence bands.
Matrix *	covarianceMatrix (const QString &)
End int	degreesOfFreedom ()
QString	derivedParameterFunction (int index)
QString	derivedParameterName (int index)
QString	derivedParametersInfo ()
double	derivedParameterValue (int index)
End SIP_PYTUPLE	errors ()
virtual void	fit ()
	Fit (ApplicationWindow */TransferThis/, Graph *=0, const char *=0)
	for (int i=0;i< n;i++)
QString	formula ()
void	generateFunction (bool, int=100)
End void	guessInitialValues ()
	if (sipRes)
	if (sipRes)
	if (sipRes)
double	initialGuess (int index)/PyName
int	iterations ()
	Returns the number of iterations performed by the fit procedure.
double	lcl (int, double)
DataCurve *	lclCurve ()
	Lower confidence limit curve.
virtual QString	legendInfo ()
bool	load (const QString &)
double	lowerBound (const QString &name)
double	lowerBound (int index)
DataCurve *	lplCurve ()
	Lower prediction limit curve.
int	numDerivedParameters ()
int	numParameters ()
QStringList	parameterNames ()
Table *	parametersTable (const QString &)
double	reducedChiSquare ()
End SIP_PYTUPLE	residuals ()
DataCurve *	residualsCurve ()
	Residuals curve.
Table *	residualsTable ()
	Table window used for the output of the residuals.
SIP_PYTUPLE	results ()
PlotTable *	resultsPlotTable ()
double	rmse ()
double	rSquare ()
double	rss ()
virtual bool	run ()
bool	save (const QString &)
void	scaleErrors (bool yes=true)
void	setAlgorithm (Algorithm)
void	setConfBandsTable (Table *)
void	setConstantParameter (const QString &name, double val)
void	setConstantParameter (int index, bool on)
bool	setDataFromTable (Table *, const QString &, const QString &, int=1, int=-1, bool=false)
void	setInitialGuess (int index, double value)/PyName
sipCpp	setInitialGuesses (values)
void	setInitialGuesses (...)/PyName
void	setInterval (double from, double to)
void	setLclCurve (DataCurve *)
void	setLowerBound (const QString &name, double v)
void	setLowerBound (int index, double v)
void	setLplCurve (DataCurve *)
void	setParameterRange (const QString &name, double low, double up)
void	setParameterRange (int index, double low, double up)
void	setResidualsCurve (DataCurve *)
void	setResidualsTable (Table *)
void	setResultsPlotTable (PlotTable *)
void	setUclCurve (DataCurve *)
void	setUplCurve (DataCurve *)
void	setUpperBound (const QString &name, double v)
void	setUpperBound (int index, double v)
bool	setWeightingData (WeightingMethod, const QString &=QString::null)
void	showConfidenceLimits (double, bool=false)
void	showLegend ()
void	showPredictionLimits (double)
DataCurve *	showResiduals ()
	Plot residuals and display data values in a new table.
DataCurve *	showResidualsHistogram ()
	Plot histogram of the residuals.
int	status ()
	Returns the status of the fit procedure or -1000 if not performed yet.
QString	statusInfo (int)
	String explaining the status of the fit procedure.
double	sxx ()
	The total sum of squares (TSS) of X data about the mean. Used when calculating confidence/prediction bands.
double	tss ()
	Returns the Total Sum of Squares.
double	ucl (int, double)
DataCurve *	uclCurve ()
	Upper confidence limit curve.
DataCurve *	uplCurve ()
	Upper prediction limit curve.
double	upperBound (const QString &name)
double	upperBound (int index)
double	weigthSum ()
	The sum of the weights.
double	xMean ()
	The mean value of the x data.
	~Fit ()
Public Attributes
MethodCode double *	errors = sipCpp->errors()
MethodCode int	n = PyTuple_GET_SIZE(a0)
MethodCode double *	residuals = sipCpp->residuals()
MethodCode double *	results = sipCpp->results()
else	sipIsErr = 1
	sipRes = PyTuple_New(size)
int	size = sipCpp->numParameters()
delete	values
double *	values = new double[n]

---

Member Enumeration Documentation

enum Fit::Algorithm

Enumerator:

ScaledLevenbergMarquardt
UnscaledLevenbergMarquardt
NelderMeadSimplex
MPFIT
SVD

enum Fit::WeightingMethod

Enumerator:

NoWeighting
Instrumental
Statistical
Dataset
Direct

---

Constructor & Destructor Documentation

Fit::Fit	(	ApplicationWindow */TransferThis/	,
		Graph *	= 0,
		const char *	= 0
	)

Fit::~Fit

(

)

---

Member Function Documentation

double Fit::adjustedRSquare

(

)

bool Fit::canGuessInitialValues

(

)

double Fit::chiSquare

(

)

Table* Fit::confidenceBandsTable

(

)

Table window used for the output of the confidence bands.

Matrix* Fit::covarianceMatrix

(

const QString &

)

End int Fit::degreesOfFreedom

(

)

QString Fit::derivedParameterFunction

(

int

index

)

QString Fit::derivedParameterName

(

int

index

)

QString Fit::derivedParametersInfo

(

)

Reimplemented in MultiPeakFit.

double Fit::derivedParameterValue

(

int

index

)

Reimplemented in MultiPeakFit.

End SIP_PYTUPLE Fit::errors

(

)

Referenced by if().

virtual void Fit::fit

(

)

[virtual]

Reimplemented in PolynomialFit, and MultiLinearRegression.

Fit::for

(

)

[inline]

Reimplemented in NonLinear2DFit, and NonLinearFit.

References sipIsErr.

QString Fit::formula

(

)

void Fit::generateFunction	(	bool	,
		int	= 100
	)

End void Fit::guessInitialValues

(

)

Fit::if

(

sipRes

)

[inline]

References residuals(), and sipRes.

Fit::if

(

sipRes

)

[inline]

References errors(), and sipRes.

Fit::if

(

sipRes

)

[inline]

References results(), and sipRes.

double Fit::initialGuess

(

int

index

)

int Fit::iterations

(

)

Returns the number of iterations performed by the fit procedure.

double Fit::lcl	(	int	,
		double
	)

DataCurve* Fit::lclCurve

(

)

Lower confidence limit curve.

virtual QString Fit::legendInfo

(

)

[virtual]

bool Fit::load

(

const QString &

)

double Fit::lowerBound

(

const QString &

name

)

double Fit::lowerBound

(

int

index

)

DataCurve* Fit::lplCurve

(

)

Lower prediction limit curve.

int Fit::numDerivedParameters

(

)

int Fit::numParameters

(

)

QStringList Fit::parameterNames

(

)

Table* Fit::parametersTable

(

const QString &

)

double Fit::reducedChiSquare

(

)

End SIP_PYTUPLE Fit::residuals

(

)

Referenced by if().

DataCurve* Fit::residualsCurve

(

)

Residuals curve.

Table* Fit::residualsTable

(

)

Table window used for the output of the residuals.

SIP_PYTUPLE Fit::results

(

)

Referenced by if().

PlotTable* Fit::resultsPlotTable

(

)

double Fit::rmse

(

)

double Fit::rSquare

(

)

double Fit::rss

(

)

virtual bool Fit::run

(

)

[virtual]

Reimplemented from Filter.

bool Fit::save

(

const QString &

)

void Fit::scaleErrors

(

bool

yes = true

)

void Fit::setAlgorithm

(

Algorithm

)

void Fit::setConfBandsTable

(

Table *

)

void Fit::setConstantParameter	(	const QString &	name,
		double	val
	)

void Fit::setConstantParameter	(	int	index,
		bool	on
	)

bool Fit::setDataFromTable	(	Table *	,
		const QString &	,
		const QString &	,
		int	= 1,
		int	= -1,
		bool	= false
	)			[virtual]

Reimplemented from Filter.

void Fit::setInitialGuess	(	int	index,
		double	value
	)

sipCpp Fit::setInitialGuesses

(

values

)

void Fit::setInitialGuesses

(

...

)

void Fit::setInterval	(	double	from,
		double	to
	)

void Fit::setLclCurve

(

DataCurve *

)

void Fit::setLowerBound	(	const QString &	name,
		double	v
	)

void Fit::setLowerBound	(	int	index,
		double	v
	)

void Fit::setLplCurve

(

DataCurve *

)

void Fit::setParameterRange	(	const QString &	name,
		double	low,
		double	up
	)

void Fit::setParameterRange	(	int	index,
		double	low,
		double	up
	)

void Fit::setResidualsCurve

(

DataCurve *

)

void Fit::setResidualsTable

(

Table *

)

void Fit::setResultsPlotTable

(

PlotTable *

)

void Fit::setUclCurve

(

DataCurve *

)

void Fit::setUplCurve

(

DataCurve *

)

void Fit::setUpperBound	(	const QString &	name,
		double	v
	)

void Fit::setUpperBound	(	int	index,
		double	v
	)

bool Fit::setWeightingData	(	WeightingMethod	,
		const QString &	= QString::null
	)

void Fit::showConfidenceLimits	(	double	,
		bool	= false
	)

void Fit::showLegend

(

)

void Fit::showPredictionLimits

(

double

)

DataCurve* Fit::showResiduals

(

)

Plot residuals and display data values in a new table.

DataCurve* Fit::showResidualsHistogram

(

)

Plot histogram of the residuals.

int Fit::status

(

)

Returns the status of the fit procedure or -1000 if not performed yet.

QString Fit::statusInfo

(

int

)

String explaining the status of the fit procedure.

double Fit::sxx

(

)

The total sum of squares (TSS) of X data about the mean. Used when calculating confidence/prediction bands.

double Fit::tss

(

)

Returns the Total Sum of Squares.

double Fit::ucl	(	int	,
		double
	)

DataCurve* Fit::uclCurve

(

)

Upper confidence limit curve.

DataCurve* Fit::uplCurve

(

)

Upper prediction limit curve.

double Fit::upperBound

(

const QString &

name

)

double Fit::upperBound

(

int

index

)

double Fit::weigthSum

(

)

The sum of the weights.

double Fit::xMean

(

)

The mean value of the x data.

---

Member Data Documentation

MethodCode double* Fit::errors = sipCpp->errors()

MethodCode int Fit::n = PyTuple_GET_SIZE(a0)

MethodCode double* Fit::residuals = sipCpp->residuals()

MethodCode double* Fit::results = sipCpp->results()

else Fit::sipIsErr = 1

Reimplemented in NonLinear2DFit, and NonLinearFit.

Referenced by for(), and MultiLinearRegression::if().

Fit::sipRes = PyTuple_New(size)

Referenced by if().

int Fit::size = sipCpp->numParameters()

delete Fit::values

double* Fit::values = new double[n]

---

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

• qtiplot/src/scripting/qti.sip