//Расчет новых параметров регрессии и построение нового прогноза вместе с линией тренда
private void predictionMonths_SelectedIndexChanged(object sender, EventArgs e)
{
try
{
try
{
chart1.Series[0].Points.Clear();
chart1.Series[0].Points.Dispose();
chart1.Series[1].Points.Clear();
chart1.Series[1].Points.Dispose();
chart1.Series[2].Points.Clear();
chart1.Series[2].Points.Dispose();
}
catch { }
DBConnection.GetSellings();
x.Clear();
y.Clear();
foreach (DataRow row in DBConnection.dtSellings.AsEnumerable())
{
x.Add(Convert.ToSingle(row[0]));
y.Add(Convert.ToSingle(row[1]));
}
LinearRegression.calculate_regression(x, y);
label20.Text = LinearRegression.mean_x.ToString("0.##");
label21.Text = LinearRegression.mean_y.ToString("0.##");
label22.Text = LinearRegression.std_deviation_x.ToString("0.##");
label23.Text = LinearRegression.std_deviation_y.ToString("0.##");
label2.Text = LinearRegression.covariation.ToString("0.##");
label4.Text = LinearRegression.correlation.ToString("0.##");
for (int i = 0; i < 12; i++)
{
try
{
err.Add(y[i] / (y.Sum() / y.Count()));
}
catch
{
err.Add(1);
}
}
sales_chart(x, y);
prediction(LinearRegression.intercept, LinearRegression.slope, err, Convert.ToInt32(predictionMonths.Text));
int end_x = chart1.Series[0].Points.Count + Convert.ToInt32(predictionMonths.Text); //последняя точка линии тренда
trend_line(LinearRegression.intercept, LinearRegression.slope, end_x);
chart1.Invalidate();
}
catch (Exception ex)
{
exceptPanel.Visible = true;
richTextBox1.Text = ex.ToString();
}
}
//Происходит при загрузке формы, первичное построение графика продаж, линии тренда, прогноза
private void Stats_Load(object sender, EventArgs e)
{
try
{
try
{
chart1.Series[0].Points.Clear();
chart1.Series[0].Points.Dispose();
chart1.Series[1].Points.Clear();
chart1.Series[1].Points.Dispose();
chart1.Series[2].Points.Clear();
chart1.Series[2].Points.Dispose();
}
catch { }
DBConnection.GetSellingsYears();
salesYears.DataSource = DBConnection.dtSellingsYears;
salesYears.DisplayMember = "year";
salesYears.ValueMember = "year";
DBConnection.GetSellings();
reconnectBtn.Font = new Font(reconnectBtn.Font.Name, 10, FontStyle.Regular | FontStyle.Underline);
x.Clear();
y.Clear();
foreach (DataRow row in DBConnection.dtSellings.AsEnumerable())
{
x.Add(Convert.ToSingle(row[0]));
y.Add(Convert.ToSingle(row[1]));
}
LinearRegression.calculate_regression(x, y);
label20.Text = LinearRegression.mean_x.ToString("0.##");
label21.Text = LinearRegression.mean_y.ToString("0.##");
label22.Text = LinearRegression.std_deviation_x.ToString("0.##");
label23.Text = LinearRegression.std_deviation_y.ToString("0.##");
label2.Text = LinearRegression.covariation.ToString("0.##");
label4.Text = LinearRegression.correlation.ToString("0.##");
for (int i = 0; i < 12; i++)
{
try
{
err.Add(y[i] / (y.Sum() / y.Count()));
}
catch
{
err.Add(1);
}
}
sales_chart(x, y);
chart1.Series.Add("Прогноз");
chart1.Series[1].BorderWidth = 3;
chart1.Series[1].ChartType = System.Windows.Forms.DataVisualization.Charting.SeriesChartType.Line;
prediction(LinearRegression.intercept, LinearRegression.slope, err, 6);
chart1.Series.Add("Линия тренда");
chart1.Series[2].BorderWidth = 3;
chart1.Series[2].ChartType = System.Windows.Forms.DataVisualization.Charting.SeriesChartType.Line;
int end_x = chart1.Series[0].Points.Count + chart1.Series[1].Points.Count;
trend_line(LinearRegression.intercept, LinearRegression.slope, end_x);
chart1.ChartAreas["ChartArea1"].AxisX.Title = "Номер периода";
chart1.ChartAreas["ChartArea1"].AxisY.Title = "Сумма";
}
catch (Exception ex)
{
exceptPanel.Visible = true;
richTextBox1.Text = ex.ToString();
}
}