public void update_regGraph(string str)
{
PlotModel pm = new PlotModel();
pm.Title = str;
scatter_series = new ScatterSeries();
scatter_series.MarkerFill = OxyColor.FromAColor(100, OxyColors.CornflowerBlue);
scatter_series.MarkerType = MarkerType.Circle;
line_series_regGraph = new LineSeries();
line_series_regGraph.Color = OxyColors.BlueViolet;
int j;
if (timeIndex < 300)
{
j = 0;
}
else
{
j = timeIndex - 300;
}
Point[] points = new Point[300];
float Xmin = allDataCsv[index_g][j];
float Xmax = allDataCsv[index_g][j];
int k = 0;
for (; j < timeIndex; j++)
{
scatter_series.Points.Add(new ScatterPoint(allDataCsv[index_g][j], allDataCsv[correlated_index][j], 2, 0));
points[k++] = new Point(allDataCsv[index_g][j], allDataCsv[correlated_index][j]);
if (allDataCsv[index_g][j] < Xmin)
{
Xmin = allDataCsv[index_g][j];
}
if (allDataCsv[index_g][j] > Xmax)
{
Xmax = allDataCsv[index_g][j];
}
}
Line reg_line = Pearson.linear_reg(points, k - 1);
line_series_regGraph.Points.Add(new DataPoint(Xmin, reg_line.f(Xmin)));
line_series_regGraph.Points.Add(new DataPoint(Xmax, reg_line.f(Xmax)));
pm.Series.Add(line_series_regGraph);
pm.Series.Add(scatter_series);
this.RegGraph = pm;
this.RegGraph.InvalidatePlot(true);
}
// a graph has been chosen.
public void chooseGraph(string str)
{
Dictionary <int, Tuple <float, float> > anomalys;
Title_Orig = str;
index_g = chunks.FindIndex(a => a == str);
correlated_index = Pearson.bestCore(allDataCsv, index_g);
update_graph(str);
update_graph_two(chunks[correlated_index]);
update_regGraph("Linear regression line");
valid = 1;
if (dllDynamic != null)
{
anomalys = dllDynamic.Update(testDataCsv[index_g], testDataCsv[correlated_index], allDataCsv[index_g], allDataCsv[correlated_index]);
toGraph(anomalys);
}
}