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.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 | |