This abstract fitter implements a lot of basic fitter functions. More...

Inheritance diagram for GrowthCurveLibrary.AbstractFitter:

Public Member Functions
double	CalculateLogLikelihoodAssumingNormallyDistributedError (IEnumerable< double > xPoints, IEnumerable< double > yPoints)

double[]	CalculateResidualsAtNewPoints (double[] xVals, double[] yvals)

	AbstractFitter ()

double	calculateResidualSumofSquares ()
	Only should be called by external classes following a fit More...

virtual double	calculateAbsError ()

abstract double	FunctiontoFit (double x)

virtual void	GenerateFitLine (double LowX, double interval, double HighX, out double[] xvalues, out double[] yvalues)

virtual IEnumerable< double >	MakePredictionsAtPoints (IEnumerable< double > XValues)

Public Attributes
string	name = ""

Protected Member Functions
void	VerifyInput (double[] XDATA, double[] YDATA)

void	makeYHAT ()

double	calculateRMSE ()

double	calculateR2 ()

abstract void	FitModel ()

Protected Attributes
double[]	x

double[]	y

double[]	ypred

double[]	pParameters

Properties
string	Comment `[get, set]`

bool	FitByDefault `[get, set]`

int	NumberOfParameters `[get]`

double[]	X `[get]`

double[]	Y `[get]`

double[]	PredictedValues `[get]`

double[]	Parameters `[get]`

bool	SuccessfulFit `[get, set]`

double	RMSE `[get]`

double	R2 `[get]`

double	AbsError `[get]`

double[]	Residuals `[get]`

Properties inherited from GrowthCurveLibrary.IAbstractFitter
bool	FitByDefault `[get]`
	Should this be fit by default? Not fitting can save automatic loadings More...

bool	SuccessfulFit `[get]`
	Was the fit successful? Converged, etc. More...

double	AbsError `[get]`

double[]	Parameters `[get]`

double[]	PredictedValues `[get]`

double	R2 `[get]`

double[]	Residuals `[get]`

double	RMSE `[get]`

double[]	X `[get]`

double[]	Y `[get]`

string	Comment `[get]`

Detailed Description

This abstract fitter implements a lot of basic fitter functions.

Constructor & Destructor Documentation

GrowthCurveLibrary.AbstractFitter.AbstractFitter ( )

Member Function Documentation

virtual double GrowthCurveLibrary.AbstractFitter.calculateAbsError ( )

virtual

Implements GrowthCurveLibrary.IAbstractFitter.

Reimplemented in GrowthCurveLibrary.LinearFit, and GrowthCurveLibrary.QuadraticLinearRegression.

double GrowthCurveLibrary.AbstractFitter.CalculateLogLikelihoodAssumingNormallyDistributedError	(	IEnumerable< double >	xPoints,
		IEnumerable< double >	yPoints
	)

double GrowthCurveLibrary.AbstractFitter.calculateR2 ( )

protected

double [] GrowthCurveLibrary.AbstractFitter.CalculateResidualsAtNewPoints	(	double[]	xVals,
		double[]	yvals
	)

double GrowthCurveLibrary.AbstractFitter.calculateResidualSumofSquares ( )

Only should be called by external classes following a fit

Returns: NaN if not successful fit, otherwise the sum of squares

Implements GrowthCurveLibrary.IAbstractFitter.

double GrowthCurveLibrary.AbstractFitter.calculateRMSE ( )

protected

abstract void GrowthCurveLibrary.AbstractFitter.FitModel ( )

protectedpure virtual

Implemented in GrowthCurveLibrary.LinearFit, GrowthCurveLibrary.ExponentialFit, GrowthCurveLibrary.QuadraticLinearRegression, GrowthCurveLibrary.OffSetExponentialFit, and GrowthCurveLibrary.LogisticModel.

abstract double GrowthCurveLibrary.AbstractFitter.FunctiontoFit ( double x )

pure virtual

Implemented in GrowthCurveLibrary.LinearFit, GrowthCurveLibrary.ExponentialFit, GrowthCurveLibrary.QuadraticLinearRegression, GrowthCurveLibrary.LogisticModel, and GrowthCurveLibrary.OffSetExponentialFit.

virtual void GrowthCurveLibrary.AbstractFitter.GenerateFitLine	(	double	LowX,
		double	interval,
		double	HighX,
		out double[]	xvalues,
		out double[]	yvalues
	)

virtual

virtual IEnumerable<double> GrowthCurveLibrary.AbstractFitter.MakePredictionsAtPoints ( IEnumerable< double > XValues )

virtual

void GrowthCurveLibrary.AbstractFitter.makeYHAT ( )

protected

void GrowthCurveLibrary.AbstractFitter.VerifyInput	(	double[]	XDATA,
		double[]	YDATA
	)

protected

Member Data Documentation

string GrowthCurveLibrary.AbstractFitter.name = ""

double [] GrowthCurveLibrary.AbstractFitter.pParameters

protected

double [] GrowthCurveLibrary.AbstractFitter.x

protected

double [] GrowthCurveLibrary.AbstractFitter.y

protected

double [] GrowthCurveLibrary.AbstractFitter.ypred

protected

Property Documentation

double GrowthCurveLibrary.AbstractFitter.AbsError

get

string GrowthCurveLibrary.AbstractFitter.Comment

getset

bool GrowthCurveLibrary.AbstractFitter.FitByDefault

getset

int GrowthCurveLibrary.AbstractFitter.NumberOfParameters

get

double [] GrowthCurveLibrary.AbstractFitter.Parameters

get

double [] GrowthCurveLibrary.AbstractFitter.PredictedValues

get

double GrowthCurveLibrary.AbstractFitter.R2

get

double [] GrowthCurveLibrary.AbstractFitter.Residuals

get

double GrowthCurveLibrary.AbstractFitter.RMSE

get

bool GrowthCurveLibrary.AbstractFitter.SuccessfulFit

getset

double [] GrowthCurveLibrary.AbstractFitter.X

get

double [] GrowthCurveLibrary.AbstractFitter.Y

get

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

D:/Dropbox/Software/CurveFitter/GrowthCurveLibrary/ModelsAndFitting/AbstractFitter.cs

Public Member Functions

Public Attributes

Protected Member Functions

Protected Attributes

Properties

Detailed Description

Constructor & Destructor Documentation

Member Function Documentation

Member Data Documentation

Property Documentation