public bivariate_distribution(IntervalList x_interval, IntervalList y_interval)
{
m_x_intervals = x_interval;
m_y_intervals = y_interval;
m_frequency = new int[m_x_intervals.m_count + 1, m_y_intervals.m_count + 1];
m_relative_frequency = new double[m_x_intervals.m_count + 1, m_y_intervals.m_count + 1];
}
public override void draw(Graphics G, IntervalList interval)
{
Pen blackPen = new Pen(Color.Black, 1);
Brush blueBrush = new SolidBrush(Color.BlueViolet);
Brush fontBrush = new SolidBrush(Color.Black);
Pen redPen = new Pen(Color.Red, 2);
float font_size = 9;
Font font = new Font(FontFamily.GenericMonospace, font_size, FontStyle.Bold);
G.DrawRectangle(blackPen, m_rectangle);
blackPen.Width = 2f;
//AXIS
G.DrawLine(blackPen, m_vertical_axis.m_A, m_vertical_axis.m_B);
G.DrawLine(blackPen, m_horizontal_axis.m_A, m_horizontal_axis.m_B);
G.DrawString(interval.m_name, font, fontBrush, m_horizontal_axis.m_B.X - (m_horizontal_axis.m_B.X - m_horizontal_axis.m_A.X) / 2, m_horizontal_axis.m_A.Y + m_pad / 3);
//BARS
int n_bars = interval.m_count;
int max_height = Math.Abs(m_vertical_axis.m_A.Y - m_vertical_axis.m_B.Y);
int width = Math.Abs(m_horizontal_axis.m_A.X - m_horizontal_axis.m_B.X) / n_bars;
for (int i = 0; i < n_bars; ++i)
{
float height = interval.m_intervals[i].m_density * max_height / interval.m_max_density;
int x = m_vertical_axis.m_A.X + width * i;
int y = m_vertical_axis.m_A.Y + (max_height - (int)height);
G.FillRectangle(blueBrush, new Rectangle(x, y, width, (int)height));
double x_mean = (interval.m_intervals[i].m_mean - (double)interval.m_intervals[i].m_starting_point) * width / interval.m_intervals[i].m_size;
G.DrawLine(redPen, (float)(x + x_mean), m_vertical_axis.m_A.Y, (float)(x + x_mean), m_vertical_axis.m_B.Y);
}
blackPen.Dispose();
blueBrush.Dispose();
redPen.Dispose();
fontBrush.Dispose();
}
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);
}
public virtual void draw(Graphics G, IntervalList interval)
{
}
