ROOT » HIST » HIST » Foption_t

class Foption_t


Histogram fit options structure.

Function Members (Methods)

Data Members

intBinVolume"WIDTH": scale content by the bin width/volume
intBound"B" When using pre-defined functions user parameter settings are used instead of default one
intChi2"X" For fitting THnsparse use chi2 method (default is likelihood)
intErrors"E" Performs a better error evaluation, calling HESSE and MINOS
intGradient"G" Option to compute derivatives analytically
intIntegral"I" Use function integral instead of function in center of bin
intLike"L" Use Log Likelihood. Default is chisquare method except fitting THnsparse
intMinuit"F" If fitting a polN, switch to minuit fitter
intMore"M" Improve fit results.
intNoErrX"EX0" or "T" When fitting a TGraphErrors do not consider error in coordinates
intNochisq"C" In case of linear fitting, don't calculate the chisquare
intNograph"0" If set, do not display the function graph
intNostore"N" If set, do not store the function graph
intPChi2"P" Use Pearson chi2 built with the expected error instead of the observed ones
intPlus"+" Add new function (default is replace)
intQuiet"Q" Quiet mode. No print
intRange"R" Use the range stored in function
intRobust"ROB" or "H": For a TGraph use robust fitting
intStoreResult"S": Stores the result in a TFitResult structure
intUser"U" Use a User specified fitting algorithm (via SetFCN)
intVerbose"V" Verbose mode. Print results after each iteration
intW1"W" Set all the weights to 1. Ignore error bars
doublehRobustvalue of h parameter used in robust fitting

Class Charts

Inheritance Inherited Members Includes Libraries
Class Charts

Function documentation