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| combinedFit.C |
| Combined (simultaneous) fit of two histogram with separate functions and some common parameters
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| ConfidenceIntervals.C |
| Illustrates TVirtualFitter::GetConfidenceIntervals This method computes confidence intervals for the fitted function
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| ErrorIntegral.C |
| Estimate the error in the integral of a fitted function taking into account the errors in the parameters resulting from the fit.
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| exampleFit3D.C |
| example of fitting a 3D function Typical multidimensional parametric regression where the predictor depends on 3 variables
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| fit1.C |
| Simple fitting example (1-d histogram with an interpreted function)
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| fit2.C |
| Fitting a 2-D histogram This tutorial illustrates :
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| fit2a.C |
| Fitting a 2-D histogram (a variant) This tutorial illustrates :
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| fit2d.C |
| Example illustrating how to fit a 2-d histogram of type y=f(x)
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| fit2dHist.C |
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| 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
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| fitcont.C |
| Example illustrating how to draw the n-sigma contour of a Minuit fit.
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| fitConvolution.C |
| Tutorial for convolution of two functions
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| fitEllipseTGraphDLSF.cxx |
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| fitEllipseTGraphRMM.cxx |
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| fitExclude.C |
| Illustrates how to fit excluding points in a given range.
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| fithist.C |
| Example of fit where the model is histogram + function
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| FitHistoInFile.C |
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| 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
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| fitLinear2.C |
| Fit a 5d hyperplane by n points, using the linear fitter directly
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| 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.
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| fitMultiGraph.C |
| fitting a parabola to a multigraph of 3 partly overlapping graphs with different errors
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| fitNormSum.C |
| Tutorial for normalized sum of two functions Here: a background exponential and a crystalball function Parameters can be set:
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| 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.
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| 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.
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| FittingDemo.C |
| Example for fitting signal/background.
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| graph2dfit.C |
| Fitting a TGraph2D
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| Ifit.C |
| Example of a program to fit non-equidistant data points
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| langaus.C |
| Convoluted Landau and Gaussian Fitting Function (using ROOT's Landau and Gauss functions)
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| line3Dfit.C |
| Fitting of a TGraph2D with a 3D straight line
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| minuit2FitBench.C |
| Demonstrate performance and usage of Minuit2 and Fumili2 for monodimensional fits.
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| minuit2FitBench2D.C |
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| minuit2GausFit.C |
| Perform fits with different configurations using Minuit2
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| multidimfit.C |
| Multi-Dimensional Parametrisation and Fitting
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| 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.
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| myfit.C |
| Get in memory an histogram from a root file and fit a user defined function.
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| NumericalMinimization.C |
| Example on how to use the new Minimizer class in ROOT Show usage with all the possible minimizers.
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| qa2.C |
| Test generation of random numbers distributed according to a function defined by the user
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| TestBinomial.C |
| Perform a fit to a set of data with binomial errors like those derived from the division of two histograms.
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| TwoHistoFit2D.C |
| Example to fit two histograms at the same time.
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| vectorizedFit.C |
| use it for fitting an histogram
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