Files | |
| combinedFit.C | |
     Combined (simultaneous) fit of two histogram with separate functions and some common parameters  | |
| combinedFit.py | |
     Combined (simultaneous) fit of two histogram with separate functions and some common parameters  | |
| ConfidenceIntervals.C | |
     Illustrates TVirtualFitter::GetConfidenceIntervals This method computes confidence intervals for the fitted function  | |
| ErrorIntegral.C | |
     Estimate the error in the integral of a fitted function taking into account the errors in the parameters resulting from the fit.  | |
| exampleFit3D.C | |
     example of fitting a 3D function Typical multidimensional parametric regression where the predictor depends on 3 variables  | |
| fit1.C | |
     Simple fitting example (1-d histogram with an interpreted function)  | |
| fit1.py | |
     Fit example.  | |
| fit1_py.py | |
| fit2.C | |
     Fitting a 2-D histogram This tutorial illustrates :  | |
| fit2a.C | |
     Fitting a 2-D histogram (a variant) This tutorial illustrates :  | |
| fit2d.C | |
     Example illustrating how to fit a 2-d histogram of type y=f(x)  | |
| fit2dHist.C | |
     Example to fit two histograms at the same time via the Fitter class.  | |
| 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  | |
| fitcont.C | |
     Example illustrating how to draw the n-sigma contour of a Minuit fit.  | |
| fitConvolution.C | |
     Tutorial for convolution of two functions  | |
| fitConvolution.py | |
     Tutorial for convolution of two functions  | |
| fitEllipseTGraphDLSF.cxx | |
| fitEllipseTGraphRMM.cxx | |
| fitExclude.C | |
     Illustrates how to fit excluding points in a given range.  | |
| fithist.C | |
     Example of fit where the model is histogram + function  | |
| 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  | |
| fitLinear2.C | |
     Fit a 5d hyperplane by n points, using the linear fitter directly  | |
| 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.  | |
| fitMultiGraph.C | |
     fitting a parabola to a multigraph of 3 partly overlapping graphs with different errors  | |
| fitNormSum.C | |
     Tutorial for normalized sum of two functions Here: a background exponential and a crystalball function Parameters can be set:  | |
| fitNormSum.py | |
     Tutorial for normalized sum of two functions Here: a background exponential and a crystalball function Parameters can be set:  | |
| 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.  | |
| 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.  | |
| FittingDemo.C | |
     Example for fitting signal/background.  | |
| graph2dfit.C | |
     Fitting a TGraph2D  | |
| Ifit.C | |
     Example of a program to fit non-equidistant data points  | |
| langaus.C | |
     Convoluted Landau and Gaussian Fitting Function (using ROOT's Landau and Gauss functions)  | |
| line3Dfit.C | |
     Fitting of a TGraph2D with a 3D straight line  | |
| minuit2FitBench.C | |
     Demonstrate performance and usage of Minuit2 and Fumili2 for monodimensional fits.  | |
| minuit2FitBench2D.C | |
     Minuit2 fit 2D benchmark.  | |
| minuit2GausFit.C | |
     Perform fits with different configurations using Minuit2  | |
| multidimfit.C | |
     Multi-Dimensional Parametrisation and Fitting  | |
| 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.  | |
| 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.  | |
| myfit.C | |
     Get in memory an histogram from a root file and fit a user defined function.  | |
| NumericalMinimization.py | |
| TestBinomial.C | |
     Perform a fit to a set of data with binomial errors like those derived from the division of two histograms.  | |
| TwoHistoFit2D.C | |
     Example to fit two histograms at the same time.  | |
| vectorizedFit.C | |
     Tutorial for creating a Vectorized TF1 function using a formula expression and use it for fitting an histogram  | |