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    ROOT   6.08/07  Reference Guide  | 
    
Files | |
| file | combinedFit.C [code] | 
      Combined (simultaneous) fit of two histogram with separate functions and some common parameters  | |
| file | ConfidenceIntervals.C [code] | 
      Illustrates TVirtualFitter::GetConfidenceIntervals This method computes confidence intervals for the fitted function  | |
| file | ErrorIntegral.C [code] | 
      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 [code] | 
      example of fitting a 3D function Typical multidimensional parametric regression where the predictor depends on 3 variables  | |
| file | fit1.C [code] | 
      Simple fitting example (1-d histogram with an interpreted function)  | |
| file | fit2.C [code] | 
      Fitting a 2-D histogram This tutorial illustrates :  | |
| file | fit2a.C [code] | 
      Fitting a 2-D histogram (a variant) This tutorial illustrates :  | |
| file | fit2d.C [code] | 
      Example illustrating how to fit a 2-d histogram of type y=f(x)  | |
| file | fit2dHist.C [code] | 
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| file | fitCircle.C [code] | 
      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 [code] | 
      Example illustrating how to draw the n-sigma contour of a Minuit fit.  | |
| file | fitConvolution.C [code] | 
      Tutorial for convolution of two functions  | |
| file | fitEllipseTGraphDLSF.cxx [code] | 
| file | fitEllipseTGraphRMM.cxx [code] | 
| file | fitExclude.C [code] | 
      Illustrates how to fit excluding points in a given range.  | |
| file | fithist.C [code] | 
      Example of fit where the model is histogram + function  | |
| file | fitLinear.C [code] | 
      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 [code] | 
      Fit a 5d hyperplane by n points, using the linear fitter directly  | |
| file | fitLinearRobust.C [code] | 
      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 [code] | 
      fitting a parabola to a multigraph of 3 partly overlapping graphs with different errors  | |
| file | fitNormSum.C [code] | 
      Tutorial for normalized sum of two functions Here: a background exponential and a crystalball function Parameters can be set:  | |
| file | fitpanel_playback.C [code] | 
| 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 [code] | 
      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 [code] | 
      Example for fitting signal/background.  | |
| file | graph2dfit.C [code] | 
      Fitting a TGraph2D  | |
| file | Ifit.C [code] | 
      Example of a program to fit non-equidistant data points  | |
| file | langaus.C [code] | 
      Convoluted Landau and Gaussian Fitting Function (using ROOT's Landau and Gauss functions)  | |
| file | line3Dfit.C [code] | 
      Fitting of a TGraph2D with a 3D straight line  | |
| file | minuit2FitBench.C [code] | 
      Demonstrate performance and usage of Minuit2 and Fumili2 for monodimensional fits.  | |
| file | minuit2FitBench2D.C [code] | 
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| file | minuit2GausFit.C [code] | 
      Perform fits with different configurations using Minuit2  | |
| file | multidimfit.C [code] | 
      Multi-Dimensional Parametrisation and Fitting  | |
| file | multifit.C [code] | 
      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 [code] | 
      Get in memory an histogram from a root file and fit a user defined function.  | |
| file | NumericalMinimization.C [code] | 
      Example on how to use the new Minimizer class in ROOT Show usage with all the possible minimizers.  | |
| file | qa2.C [code] | 
      Test generation of random numbers distributed according to a function defined by the user  | |
| file | TestBinomial.C [code] | 
      Perform a fit to a set of data with binomial errors like those derived from the division of two histograms.  | |
| file | TwoHistoFit2D.C [code] | 
      Example to fit two histograms at the same time.  | |