TCurveFit

The following table summarizes the routines of TCurveFit involved in curve fitting:

Create	create an instance of TCurveFit
Free	free the instance
Init	initialize the processing machine
EnterStatValue	enter a pair of data
RemoveStatValue	remove a data pair from the pool
DataX, DataY	direct (read-only) access to the entered data pairs
CalcAnovaReg	performs the analysis of variances for linear models
CalcCenteredPolyFit	calculate the best fitting centered polynomial
CalcCircleFit	calculate the best fitting circle
CalcExponentialFit	calculate the best exponential fit
CalcGaussFit	calculate the best Gaussian fit (normal distribution)
CalcHoerlFit	calculate the best fitting Hoerl function
CalcHyperbolFit	calculate the best hyperbolic fit to the data
CalcLinFit	calculate the best linear fit to the data
CalcLogFit	calculate the best logarithmic fit
CalcParabolFit	calculate the best parabolic fit to the data
CalcPolyFit	calculate a best fitting polynomial
CalcPowerFit	calculate a best fitting power curve
CalcReciHyperbolFit	calculate the best reciprocal hyperbolic fit to the data
CalcReciLinFit	calculate the best reciprocal linear fit to the data
CalcReciLogFit	calculate the best reciprocal logarithmic fit
CalcRegModel	calculate a regression model
CPXShift	the shift along the x axis of centered polynomials
CubicSpline	calculates a cubic spline interpolation
Evaluate	evaluates the regression model at a specific x value
FitQual	the quality of fit of the previously calculated model
PolyOrder	order of the previously calculated polynomial regression
Predict	predict the y value at a particular x value
Residual	the residuals of the regression
SmoothedSpline	calculates a smoothed cubic spline interpolation
SpearmanRankCorr	calculates Spearman's rank correlation coefficient
StdDevResid	the standard deviation of the residuals of the regression
In addition, TCurveFit also provides all important univariate and bivariate parameters for the entered data pairs: CalcStatistics calculate mean values, standard deviations, and the correlation coefficient CorrCoeff correlation coefficient KendallsTau Kendalls's Tau (rank correlation coefficient) KruskalGamma Kruskal's Gamma (rank correlation coefficient) KurtosisX, KurtosisY kurtosis of x and y values MaxX, MaxY maxima of x and y values MeanDiff mean of differences between x and y MeanAngleX mean of x values interpreted as angles measured in degrees MeanX mean of x values MeanAngleY mean of y values interpreted as angles measured in degrees MeanY mean of y values MinX, MinY minima of x and y values NumData number of data pairs RMSDiff root mean square of the differences between x and y SkewnessX, SkewnessY skewness of x and y values StdDevDiff standard deviation of differences between x and y StdDevX standard deviation of x values StdDevY standard deviation of y values