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 | 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 |

| |

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 | 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 | 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 |

| |

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 An 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 |

use it for fitting an histogram | |