root/applications/robust/main.cpp @ 1335

/*!
\file
\brief Robust
\author Vasek Smidl 

 */

#include "robustlib.h"
#include <vector>
#include <iostream>
#include <fstream>

using namespace itpp;
//using namespace bdm;

const int emlig_size = 2;


int main ( int argc, char* argv[] ) {
        
        /*
        // EXPERIMENT: 100 AR model generated time series of length of 30 from y_t=0.95*y_(t-1)+0.05*y_(t-2)+0.2*e_t, 
        // where e_t is normally, student(4) and cauchy distributed are tested using robust AR model, to obtain the 
        // variance of location parameter estimators and compare it to the classical setup.
        vector<vector<vector<string>>> string_lists;
        string_lists.push_back(vector<vector<string>>());
        string_lists.push_back(vector<vector<string>>());
        string_lists.push_back(vector<vector<string>>());

        char* file_strings[3] = {"c:\\ar_normal.txt", "c:\\ar_student.txt", "c:\\ar_cauchy.txt"};
        

        for(int i = 0;i<3;i++)
        {       
                ifstream myfile(file_strings[i]);
                if (myfile.is_open())
                {
                        while ( myfile.good() )
                        {
                                string line;
                                getline(myfile,line);
                                
                                vector<string> parsed_line;
                                while(line.find(',') != string::npos)
                                {
                                        int loc = line.find(',');
                                        parsed_line.push_back(line.substr(0,loc));
                                        line.erase(0,loc+1);                                    
                                }                               

                                string_lists[i].push_back(parsed_line);
                        }
                        myfile.close();
                }
        }

        for(int j = 0;j<string_lists.size();j++)
        { 
                
                for(int i = 0;i<string_lists[j].size()-1;i++)
                {
                        vector<vec> conditions;
                        //emlig* emliga = new emlig(2);
                        RARX* my_rarx = new RARX(2,30);

                        for(int k = 1;k<string_lists[j][i].size();k++)
                        {
                                vec condition;
                                //condition.ins(0,1);                           
                                condition.ins(0,string_lists[j][i][k]);                         
                                conditions.push_back(condition);

                                //cout << "orig:" << condition << endl;

                                if(conditions.size()>1)
                                {               
                                        conditions[k-2].ins(0,string_lists[j][i][k]);
                                        
                                }

                                if(conditions.size()>2)
                                {
                                        conditions[k-3].ins(0,string_lists[j][i][k]);

                                        //cout << "modi:" << conditions[k-3] << endl;

                                        my_rarx->bayes(conditions[k-3]);

                                        
                                        //if(k>5)
                                        //{
                                        //      cout << "MaxLik coords:" << emliga->minimal_vertex->get_coordinates() << endl;
                                        //}
                                        
                                }                               
                                
                        }

                        //emliga->step_me(0);
                        /*
                        ofstream myfile;
                        myfile.open("c:\\robust_ar1.txt",ios::app);
                        myfile << my_rarx->minimal_vertex->get_coordinates()[0] << ";";
                        myfile.close();

                        myfile.open("c:\\robust_ar2.txt",ios::app);
                        myfile << emliga->minimal_vertex->get_coordinates()[1] << ";";
                        myfile.close();
                        

                        cout << "MaxLik coords:" << emliga->minimal_vertex->get_coordinates() << endl;
                        cout << "Step: " << i << endl;
                }

                cout << "One experiment finished." << endl;

                ofstream myfile;
                myfile.open("c:\\robust_ar1.txt",ios::app);
                myfile << endl;
                myfile.close();

                myfile.open("c:\\robust_ar2.txt",ios::app);
                myfile << endl;
                myfile.close();
        }*/
    
        
        // EXPERIMENT: A moving window estimation and prediction of RARX is tested on data generated from 
    // y_t=0.95*y_(t-1)+0.05*y_(t-2)+0.2*e_t, where e_t is normally, student(4) and cauchy distributed. It
    // can be compared to the classical setup.
        

        vector<vector<string>> strings;

        char* file_strings[3] = {"c:\\ar_cauchy_single.txt", "c:\\ar_normal_single.txt","c:\\ar_student_single.txt"};

        for(int i = 0;i<3;i++)
        {                       
                ifstream myfile(file_strings[i]);
                if (myfile.is_open())
                {                       
                        string line;
                        getline(myfile,line);
                                
                        vector<string> parsed_line;
                        while(line.find(',') != string::npos)
                        {
                                int loc = line.find(',');
                                parsed_line.push_back(line.substr(0,loc));
                                line.erase(0,loc+1);                                    
                        }                               

                        strings.push_back(parsed_line);
                        
                        myfile.close();
                }
        }
        
        for(int j = 0;j<strings.size();j++)
        {               
                vector<vec> conditions;
                //emlig* emliga = new emlig(2);
                RARX* my_rarx = new RARX(2,70);

                for(int k = 1;k<170;k++)
                {
                        vec condition;
                        //condition.ins(0,1);                           
                        condition.ins(0,strings[j][k]);                         
                        conditions.push_back(condition);

                        //cout << "orig:" << condition << endl;

                        if(conditions.size()>1)
                        {               
                                conditions[k-2].ins(0,strings[j][k]);
                                        
                        }

                        if(conditions.size()>2)
                        {
                                conditions[k-3].ins(0,strings[j][k]);

                                // cout << "modi:" << conditions[k-3] << endl;

                                my_rarx->bayes(conditions[k-3]);

                                        
                                
                                if(k>5)
                                {
                                        //my_rarx->posterior->step_me(0);

                                        my_rarx->posterior->sample_mat(1);

                                        cout << "MaxLik coords:" << my_rarx->posterior->minimal_vertex->get_coordinates() << endl;

                                        ofstream myfile;
                                        char fstring[80];
                                        strcpy(fstring,file_strings[j]);
                                        strcat(fstring,"_res.txt");

                                        myfile.open(fstring,ios::app);
                                        myfile << my_rarx->posterior->minimal_vertex->get_coordinates()[0];
                                        if(k!=strings[j].size()-1)
                                        {
                                                myfile << ",";
                                        }
                                        else
                                        {
                                                myfile << endl;
                                        }
                                        myfile.close();
                                }                                       
                        }       
                        
                        //emliga->step_me(0);
                        /*
                        ofstream myfile;
                        myfile.open("c:\\robust_ar1.txt",ios::app);
                        myfile << my_rarx->minimal_vertex->get_coordinates()[0] << ";";
                        myfile.close();

                        myfile.open("c:\\robust_ar2.txt",ios::app);
                        myfile << emliga->minimal_vertex->get_coordinates()[1] << ";";
                        myfile.close();
                        

                        cout << "MaxLik coords:" << emliga->minimal_vertex->get_coordinates() << endl;
                        cout << "Step: " << i << endl;*/
                }
        }
                
                /*
                cout << "One experiment finished." << endl;

                ofstream myfile;
                myfile.open("c:\\robust_ar1.txt",ios::app);
                myfile << endl;
                myfile.close();

                myfile.open("c:\\robust_ar2.txt",ios::app);
                myfile << endl;
                myfile.close();*/
        

        //emlig* emlig1 = new emlig(emlig_size);

        //emlig1->step_me(0);
        //emlig* emlig2 = new emlig(emlig_size);
        
        /*
        emlig1->set_correction_factors(4);

        for(int j = 0;j<emlig1->correction_factors.size();j++)
        {
                for(set<my_ivec>::iterator vec_ref = emlig1->correction_factors[j].begin();vec_ref!=emlig1->correction_factors[j].end();vec_ref++)
                {
                        cout << j << "    ";
                        
                        for(int i=0;i<(*vec_ref).size();i++)
                        {
                                cout << (*vec_ref)[i];
                        }

                        cout << endl;
                }
        }*/
        
        /*
    vec condition5 = "1.0 1.0 1.01";//"-0.3 1.7 1.5";

        emlig1->add_condition(condition5);
        //emlig1->step_me(0);


        vec condition1a = "-1.0 1.02 0.5";
        //vec condition1b = "1.0 1.0 1.01";
        emlig1->add_condition(condition1a);
        //emlig2->add_condition(condition1b);

        vec condition2a = "-0.3 1.7 1.5";
        //vec condition2b = "-1.0 1.0 1.0";
        emlig1->add_condition(condition2a);
        //emlig2->add_condition(condition2b);

        vec condition3a = "0.5 -1.01 1.0";
        //vec condition3b = "0.5 -1.01 1.0";

        emlig1->add_condition(condition3a);
        //emlig2->add_condition(condition3b);   

        vec condition4a = "-0.5 -1.0 1.0";
        //vec condition4b = "-0.5 -1.0 1.0";    

        emlig1->add_condition(condition4a);
        //cout << "************************************************" << endl;
        //emlig2->add_condition(condition4b);
        //cout << "************************************************" << endl;
        
        //cout << emlig1->minimal_vertex->get_coordinates();
        
        //emlig1->remove_condition(condition3a);
        //emlig1->step_me(0);
        //emlig1->remove_condition(condition2a);
        //emlig1->remove_condition(condition1a);
        //emlig1->remove_condition(condition5);
        

        //emlig1->step_me(0);
        //emlig2->step_me(0);
        

        // DA SE POUZIT PRO VYPIS DO SOUBORU
        // emlig1->step_me(0);

        //emlig1->remove_condition(condition1);
        
        

        
        
        /*
        for(int i = 0;i<100;i++)
        {
                cout << endl << "Step:" << i << endl;           

                double condition[emlig_size+1];         

                for(int k = 0;k<=emlig_size;k++)
                {
                        condition[k] = (rand()-RAND_MAX/2)/1000.0;              
                }
                        

                vec* condition_vec = new vec(condition,emlig_size+1);
                emlig1->add_condition(*condition_vec);

                /*
                for(polyhedron* toprow_ref = emlig1->statistic.rows[emlig_size]; toprow_ref != emlig1->statistic.end_poly; toprow_ref = toprow_ref->next_poly)
                {
                        cout << ((toprow*)toprow_ref)->probability << endl;
                }
                */
                /*
                cout << emlig1->statistic_rowsize(emlig_size) << endl << endl;
        
                /*
                if(i-emlig1->number_of_parameters >= 0)
                {
                        pause(30);
                }
                */

                // emlig1->step_me(i);
                
                /*
                vector<int> sizevector;
                for(int s = 0;s<=emlig1->number_of_parameters;s++)
                {
                        sizevector.push_back(emlig1->statistic_rowsize(s));
                }
                */
        //}
    


        
        /*
        emlig1->step_me(1);

        vec condition = "2.0 0.0 1.0";  

        emlig1->add_condition(condition);

        vector<int> sizevector;
        for(int s = 0;s<=emlig1->number_of_parameters;s++)
        {
                sizevector.push_back(emlig1->statistic_rowsize(s));
        }

        emlig1->step_me(2);

        condition = "2.0 1.0 0.0";

        emlig1->add_condition(condition);

        sizevector.clear();
        for(int s = 0;s<=emlig1->number_of_parameters;s++)
        {
                sizevector.push_back(emlig1->statistic_rowsize(s));
        }
        */

        return 0;
}