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fit Directory Reference
Directory dependency graph for fit:

## 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

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

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

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