/** \file chisq.hpp \brief chi-square statistic \author Junhua Gu */ #ifndef CHI_SQ_HPP #define CHI_SQ_HPP #define OPT_HEADER #include #include #include #include #include using std::cerr; using std::endl; namespace opt_utilities { static const int display_interval=10; /** \brief chi-square statistic \tparam Ty the return type of model \tparam Tx the type of the self-var \tparam Tp the type of model parameter \tparam Ts the type of the statistic \tparam Tstr the type of the string used */ template class chisq :public statistic { }; template<> class chisq,double,std::string> :public statistic ,double,std::string> { public: typedef double Ty; typedef double Tx; typedef std::vector Tp; typedef double Ts; typedef std::string Tstr; private: bool verb; bool limit_bound; int n; statistic* do_clone()const { // return const_cast*>(this); return new chisq(*this); } const char* do_get_type_name()const { return "chi^2 statistics (specialized for double)"; } public: void verbose(bool v) { verb=v; } void set_limit() { limit_bound=true; } void clear_limit() { limit_bound=false; } public: chisq() :verb(true),limit_bound(false) {} Ty do_eval(const Tp& p) { if(limit_bound) { Tp p1=this->get_fitter().get_model().reform_param(p); for(size_t i=0;ithis->get_fitter().get_param_info(i).get_upper_limit()|| p1[i]get_fitter().get_param_info(i).get_lower_limit()) { return 1e99; } } } Ty result(0); std::vector vx; std::vector vy; std::vector vye1; std::vector vye2; std::vector my; float xmin=1e99,xmax=-1e99,ymin=1e99,ymax=-1e99; if(verb) { n++; if(n%display_interval==0) { vx.resize(this->get_data_set().size()); vy.resize(this->get_data_set().size()); vye1.resize(this->get_data_set().size()); vye2.resize(this->get_data_set().size()); my.resize(this->get_data_set().size()); } } for(int i=(this->get_data_set()).size()-1;i>=0;--i) { #ifdef HAVE_X_ERROR Tx x1=this->get_data_set().get_data(i).get_x()-this->get_data_set().get_data(i).get_x_lower_err(); Tx x2=this->get_data_set().get_data(i).get_x()+this->get_data_set().get_data(i).get_x_upper_err(); Tx x=this->get_data_set().get_data(i).get_x(); Ty errx1=(this->eval_model(x1,p)-this->eval_model(x,p)); Ty errx2=(this->eval_model(x2,p)-this->eval_model(x,p)); //Ty errx=0; #else Ty errx1=0; Ty errx2=0; #endif Ty y_model=this->eval_model(this->get_data_set().get_data(i).get_x(),p); Ty y_obs=this->get_data_set().get_data(i).get_y(); Ty y_err; Ty errx=0; if(errx10?errx1:-errx1; } else { errx=errx2>0?errx2:-errx2; } } else { if(y_obs0?errx2:-errx2; } else { errx=errx1>0?errx1:-errx1; } } if(y_model>y_obs) { y_err=this->get_data_set().get_data(i).get_y_upper_err(); } else { y_err=this->get_data_set().get_data(i).get_y_lower_err(); } Ty chi=(y_obs-y_model)/std::sqrt(y_err*y_err+errx*errx); result+=chi*chi; if(verb&&n%display_interval==0) { vx.at(i)=this->get_data_set().get_data(i).get_x(); vy.at(i)=this->get_data_set().get_data(i).get_y(); vye1.at(i)=std::abs(this->get_data_set().get_data(i).get_y_lower_err()); vye2.at(i)=std::abs(this->get_data_set().get_data(i).get_y_upper_err()); my.at(i)=y_model; xmin=std::min(vx.at(i),xmin); ymin=std::min(vy.at(i),ymin-vye1[i]); xmax=std::max(vx.at(i),xmax); ymax=std::max(vy.at(i),ymax+vye2[i]); } } if(verb) { if(n%display_interval==0) { cerr<