Exemplo n.º 1
0
 public void recalculate_intervals(int x_intervals, int y_intervals)
 {
     m_x_intervals.repopulate(x_intervals, m_x_min_value, m_x_max_value);
     m_y_intervals.repopulate(y_intervals, m_y_min_value, m_y_max_value);
     for (int i = 0; i < m_count; ++i)
     {
         m_x_intervals.check_intervals(m_points[i].m_x);
         m_y_intervals.check_intervals(m_points[i].m_y);
     }
     m_x_intervals.find_densities();
     m_y_intervals.find_densities();
     m_distribution = new bivariate_distribution(m_x_intervals, m_y_intervals);
     m_distribution.compute_frequencies(m_points);
 }
Exemplo n.º 2
0
        public void process_data(int x_intervals, int y_intervals)
        {
            m_x_mean      = m_points[0].m_x;
            m_x_min_value = m_points[0].m_x;
            m_x_max_value = m_points[0].m_x;

            m_y_mean      = m_points[0].m_y;
            m_y_min_value = m_points[0].m_y;
            m_y_max_value = m_points[0].m_y;

            for (int i = 1; i < m_count; ++i)
            {
                m_x_mean += Math.Round((double)(m_points[i].m_x - m_x_mean) / (i + 1), 2);
                m_y_mean += Math.Round((double)(m_points[i].m_y - m_y_mean) / (i + 1), 2);

                m_x_min_value = m_points[i].m_x < m_x_min_value ? m_points[i].m_x : m_x_min_value;
                m_x_max_value = m_points[i].m_x > m_x_max_value ? m_points[i].m_x : m_x_max_value;

                m_y_min_value = m_points[i].m_y < m_y_min_value ? m_points[i].m_y : m_y_min_value;
                m_y_max_value = m_points[i].m_y > m_y_max_value ? m_points[i].m_y : m_y_max_value;
            }

            m_x_range = m_x_max_value - m_x_min_value;
            m_y_range = m_y_max_value - m_y_min_value;

            m_x_intervals = new IntervalList(x_intervals, m_x_name);
            m_y_intervals = new IntervalList(y_intervals, m_y_name);

            m_x_intervals.populate(m_x_min_value, m_x_max_value);
            m_y_intervals.populate(m_y_min_value, m_y_max_value);

            for (int i = 0; i < m_count; ++i)
            {
                m_x_intervals.check_intervals(m_points[i].m_x);
                m_y_intervals.check_intervals(m_points[i].m_y);
            }
            m_x_intervals.find_densities();
            m_y_intervals.find_densities();
            m_distribution = new bivariate_distribution(m_x_intervals, m_y_intervals);
            m_distribution.compute_frequencies(m_points);
        }