These tutorials illustrate the main fitting features. Their names are related to the aspect which is treated in the code.
Files | |
file | combinedFit.C |
Combined (simultaneous) fit of two histogram with separate functions and some common parameters | |
file | combinedFit.py |
Combined (simultaneous) fit of two histogram with separate functions and some common parameters | |
file | ConfidenceIntervals.C |
Illustrates TVirtualFitter::GetConfidenceIntervals This method computes confidence intervals for the fitted function | |
file | ErrorIntegral.C |
Estimate the error in the integral of a fitted function taking into account the errors in the parameters resulting from the fit. | |
file | exampleFit3D.C |
example of fitting a 3D function Typical multidimensional parametric regression where the predictor depends on 3 variables | |
file | fit1.C |
Simple fitting example (1-d histogram with an interpreted function) | |
file | fit2.C |
Fitting a 2-D histogram This tutorial illustrates : | |
file | fit2a.C |
Fitting a 2-D histogram (a variant) This tutorial illustrates : | |
file | fit2d.C |
Example illustrating how to fit a 2-d histogram of type y=f(x) | |
file | fit2dHist.C |
Example to fit two histograms at the same time via the Fitter class. | |
file | fitCircle.C |
Generate points distributed with some errors around a circle Fit a circle through the points and draw To run the script, do, eg | |
file | fitcont.C |
Example illustrating how to draw the n-sigma contour of a Minuit fit. | |
file | fitConvolution.C |
Tutorial for convolution of two functions | |
file | fitConvolution.py |
Tutorial for convolution of two functions | |
file | fitExclude.C |
Illustrates how to fit excluding points in a given range. | |
file | fithist.C |
Example of fit where the model is histogram + function | |
file | fitLinear.C |
Example of fitting with a linear function, using TLinearFitter This example is for a TGraphErrors, but it can also be used when fitting a histogram, a TGraph2D or a TMultiGraph | |
file | fitLinear2.C |
Fit a 5d hyperplane by n points, using the linear fitter directly | |
file | fitLinearRobust.C |
This tutorial shows how the least trimmed squares regression, included in the TLinearFitter class, can be used for fitting in cases when the data contains outliers. | |
file | fitMultiGraph.C |
fitting a parabola to a multigraph of 3 partly overlapping graphs with different errors | |
file | fitNormSum.C |
Tutorial for normalized sum of two functions Here: a background exponential and a crystalball function Parameters can be set: | |
file | fitNormSum.py |
Tutorial for normalized sum of two functions Here: a background exponential and a crystalball function Parameters can be set: | |
file | fitpanel_playback.C |
This file will test all the transient frames (aka Dialog windows) displayed in the fitpanel, as the rest of the functionality is tried automatically with the UnitTest.C unit. | |
file | fitslicesy.C |
Illustrates how to use the TH1::FitSlicesY function It uses the TH2F histogram generated in macro hsimple.C It invokes FitSlicesY and draw the fitted "mean" and "sigma" in 2 sepate pads. | |
file | FittingDemo.C |
Example for fitting signal/background. | |
file | graph2dfit.C |
Fitting a TGraph2D | |
file | Ifit.C |
Example of a program to fit non-equidistant data points | |
file | langaus.C |
Convoluted Landau and Gaussian Fitting Function (using ROOT's Landau and Gauss functions) | |
file | line3Dfit.C |
Fitting of a TGraph2D with a 3D straight line | |
file | minuit2FitBench.C |
Demonstrate performance and usage of Minuit2 and Fumili2 for monodimensional fits. | |
file | minuit2FitBench2D.C |
Minuit2 fit 2D benchmark. | |
file | minuit2GausFit.C |
Perform fits with different configurations using Minuit2 | |
file | multidimfit.C |
Multi-Dimensional Parametrisation and Fitting | |
file | multifit.C |
Fitting multiple functions to different ranges of a 1-D histogram Example showing how to fit in a sub-range of an histogram A histogram is created and filled with the bin contents and errors defined in the table below. | |
file | multifit.py |
Fitting multiple functions to different ranges of a 1-D histogram Example showing how to fit in a sub-range of an histogram A histogram is created and filled with the bin contents and errors defined in the table below. | |
file | myfit.C |
Get in memory an histogram from a root file and fit a user defined function. | |
file | NumericalMinimization.C |
Example on how to use the new Minimizer class in ROOT Show usage with all the possible minimizers. | |
file | qa2.C |
Test generation of random numbers distributed according to a function defined by the user | |
file | TestBinomial.C |
Perform a fit to a set of data with binomial errors like those derived from the division of two histograms. | |
file | TwoHistoFit2D.C |
Example to fit two histograms at the same time. | |
file | vectorizedFit.C |
Tutorial for creating a Vectorized TF1 function using a formula expression and use it for fitting an histogram | |