/* @(#)root/hist:$Id$ */ /************************************************************************* * Copyright (C) 1995-2000, Rene Brun and Fons Rademakers. * * All rights reserved. * * * * For the licensing terms see $ROOTSYS/LICENSE. * * For the list of contributors see $ROOTSYS/README/CREDITS. * *************************************************************************/ #ifndef ROOT_Foption #define ROOT_Foption ////////////////////////////////////////////////////////////////////////// // // // Foption // // // // Histogram fit options structure. // // // ////////////////////////////////////////////////////////////////////////// struct Foption_t { //*-* chopt may be the concatenation of the following options: //*-* ======================================================= //*-* //*-* The following structure members are set to 1 if the option is selected: int Quiet; // "Q" Quiet mode. No print int Verbose; // "V" Verbose mode. Print results after each iteration 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 Like; // "L" Use Log Likelihood. Default is chisquare method except fitting THnsparse int User; // "U" Use a User specified fitting algorithm (via SetFCN) int W1; // "W" Set all the weights to 1. Ignore error bars int Errors; // "E" Performs a better error evaluation, calling HESSE and MINOS int More; // "M" Improve fit results. int Range; // "R" Use the range stored in function int Gradient; // "G" Option to compute derivatives analytically int Nostore; // "N" If set, do not store the function graph int Nograph; // "0" If set, do not display the function graph int Plus; // "+" Add new function (default is replace) int Integral; // "I" Use function integral instead of function in center of bin int Nochisq; // "C" In case of linear fitting, don't calculate the chisquare int Minuit; // "F" If fitting a polN, switch to minuit fitter int NoErrX; // "EX0" or "T" When fitting a TGraphErrors do not consider error in coordinates int Robust; // "ROB" or "H": For a TGraph use robust fitting int StoreResult; // "S": Stores the result in a TFitResult structure double hRobust; // value of h parameter used in robust fitting Foption_t() : Quiet (0), Verbose (0), Bound (0), Chi2 (0), Like (0), User (0), W1 (0), Errors (0), More (0), Range (0), Gradient (0), Nostore (0), Nograph (0), Plus (0), Integral (0), Nochisq (0), Minuit (0), NoErrX (0), Robust (0), StoreResult (0), hRobust (0) {} }; #endif