//method to produce plot titled Simulation: 100 Paths
private void plot3(List <List <double> > simulations, int nsteps, int point)
{
int i = 0;
i = simulations.Count();
ForecastP3.Show();
ForecastP3.Titles.Clear();
ForecastP3.Titles.Add(new Title("Simulation: 100 Paths", Docking.Top, new Font("Verdana", 8f, FontStyle.Bold), Color.Black));
ForecastP3.ChartAreas[0].AxisY.LabelStyle.Font = ForecastP3.ChartAreas[0].AxisX.LabelStyle.Font = new Font("Arial", 11, GraphicsUnit.Pixel);
ForecastP3.Legends[0].DockedToChartArea = "ChartArea1";
ForecastP3.Series.Clear();
for (int j = 0; j < i; j++)
{
int q = 1 + j;
string nam = "Simulation " + q.ToString();
var series = new System.Windows.Forms.DataVisualization.Charting.Series
{
Name = nam,
Color = System.Drawing.Color.Blue,
IsVisibleInLegend = false,
//IsXValueIndexed = true,
ChartType = SeriesChartType.Line
};
this.ForecastP3.Series.Add(series);
ForecastP3.Legends[0].DockedToChartArea = "ChartArea1";
int z = 0;
foreach (double dd in simulations[j])
{
series.Points.AddXY(point + z, dd);
z++;
}
ForecastP3.ChartAreas[0].RecalculateAxesScale();
ForecastP3.Invalidate();
}
}
//method to hide buttons, graphs etc.
private void hide()
{
Mdgv.Hide();
ForecastMlbl.Hide();
numericUpDown1.Hide();
numericUpDown2.Hide();
ForecastRun.Hide();
ForecastP1.Hide();
label1.Hide();
label2.Hide();
ForecastP2.Hide();
ForecastP3.Hide();
}
//this method helps setup the numeric counters
private void Mdgv_CellClick(object sender, DataGridViewCellEventArgs e)
{
System.Windows.Forms.Cursor old = this.Cursor;
this.Cursor = Cursors.AppStarting;
ForecastP1.Hide();
ForecastP2.Hide();
ForecastP3.Hide();
numericUpDown1.Show();
numericUpDown2.Show();
ForecastRun.Show();
label1.Show();
label2.Show();
//depending on the model that the user chooses, setup the Data list object which will be used elsewhere
//the numeric counters will be based off of the Data list
int mposition = 0;
mposition = Mdgv.SelectedRows[0].Index;
int nd = Modellist[mposition].D;
bool subtmean = false;
subtmean = Modellist[mposition].Subtractmean;
this.Data.Clear();
if (nd > 0)
{
P.DifferencedData.Clear();
this.P.Diff = nd;
P.difference();
foreach (double dd in P.DifferencedData)
{
this.Data.Add(dd);
}
}
else
{
List <double> tempdata = new List <double>();
if (subtmean == true)
{
double aver = P.avg(P.D);
foreach (double dd in P.D)
{
tempdata.Add(dd - P.avg(P.D));
}
}
else
{
foreach (double dd in P.D)
{
tempdata.Add(dd);
}
}
foreach (double dd in tempdata)
{
this.Data.Add(dd);
}
}
//now setup the numeric objects
int count = Data.Count();
numericUpDown1.Value = 1;
numericUpDown1.Minimum = 1;
numericUpDown1.Maximum = 200;
numericUpDown1.Increment = 1;
int nar = 0;
int nma = 0;
int narchp = 0;
int narchq = 0;
nar = Modellist[mposition].P;
nma = Modellist[mposition].Q;
narchp = Modellist[mposition].archP;
narchq = Modellist[mposition].archQ;
int inc = (int)Math.Floor((double)this.Data.Count() / 500.0);
List <double> lst = new List <double> {
(double)nar, (double)nma, (double)narchp, (double)narchq
};
numericUpDown2.Minimum = (int)P.maximum(lst) + 2;
numericUpDown2.Maximum = Data.Count();
numericUpDown2.Value = Data.Count();
numericUpDown2.Increment = inc;
this.Cursor = old;
}
