+
class Foption_t
-
library: libHist
#include "Foption.h"
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Foption_t
class Foption_t
Foption Histogram fit options structure.
Function Members (Methods)
public:
~Foption_t
()
Foption_t
()
Foption_t
(
const
Foption_t
&)
Foption_t
(
Foption_t
&&)
Foption_t
&
operator=
(
const
Foption_t
&)
Foption_t
&
operator=
(
Foption_t
&&)
Data Members
public:
int
Bound
"B" When using pre-defined functions user parameter settings are used instead of default one
int
Chi2
"X" For fitting THnsparse use chi2 method (default is likelihood)
int
Errors
"E" Performs a better error evaluation, calling HESSE and MINOS
int
Gradient
"G" Option to compute derivatives analytically
int
Integral
"I" Use function integral instead of function in center of bin
int
Like
"L" Use Log Likelihood. Default is chisquare method except fitting THnsparse
int
Minuit
"F" If fitting a polN, switch to minuit fitter
int
More
"M" Improve fit results.
int
NoErrX
"EX0" or "T" When fitting a TGraphErrors do not consider error in coordinates
int
Nochisq
"C" In case of linear fitting, don't calculate the chisquare
int
Nograph
"0" If set, do not display the function graph
int
Nostore
"N" If set, do not store the function graph
int
PChi2
"P" Use Pearson chi2 built with the expected error instead of the observed ones
int
Plus
"+" Add new function (default is replace)
int
Quiet
"Q" Quiet mode. No print
int
Range
"R" Use the range stored in function
int
Robust
"ROB" or "H": For a TGraph use robust fitting
int
StoreResult
"S": Stores the result in a TFitResult structure
int
User
"U" Use a User specified fitting algorithm (via SetFCN)
int
Verbose
"V" Verbose mode. Print results after each iteration
int
W1
"W" Set all the weights to 1. Ignore error bars
double
hRobust
value of h parameter used in robust fitting
Class Charts
Inheritance
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Function documentation
Foption_t
()
{}