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fit Directory Reference

Directory dependency graph for fit:

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## 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) | |

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 | |

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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 | |

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 | |

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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.C | |

Example on how to use the new Minimizer class in ROOT Show usage with all the possible minimizers. | |

NumericalMinimization.py | |

qa2.C | |

Test generation of random numbers distributed according to a function defined by the user | |

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 | |