public MainComponentMethod(InitialAnalysMultidimensionalData IAM,
ref List <InitialStatisticalAnalys> ML, ref List <double[]> undolist, ref TreeView treeView1)
{
this.IAM = IAM;
this.ML = ML;
this.undolist = undolist;
this.treeView1 = treeView1;
DataTabPage = TapPageCreate();
SetData();
if (IAM.n == 2)
{
Correlation_RegressionAnalysis CRA = new Correlation_RegressionAnalysis(new List <InitialStatisticalAnalys>()
{
IAM.ISA[0], IAM.ISA[1]
},
new List <int>()
{
0, 1
}, RegresTypeName.LineRegresion);
picture.Image = PaintData.Paintf(CRA, picture.Width, picture.Height);
}
}
static public void Repaint(InitialStatisticalAnalys gr, InitialStatisticalAnalys gr2, Correlation_RegressionAnalysis CRA, Chart chart1, Chart chart2)
{
chart1.ChartAreas[0].AxisX.LabelStyle.Format = "###,##0.000";
chart1.ChartAreas[0].AxisY.LabelStyle.Format = "###,##0.000";
chart2.ChartAreas[0].AxisX.LabelStyle.Format = "###,##0.000";
chart2.ChartAreas[0].AxisY.LabelStyle.Format = "###,##0.000";
///++++++++++++++++++++++++++++++++++++++++++++++
///GISTOGAMA_PAINT
///++++++++++++++++++++++++++++++++++++++++++++++
chart1.Series.Clear();
chart2.Series.Clear();
if (CRA.f == null)
{
return;
}
chart1.Series.Add(CorelPaint(gr.unsortl, gr2.unsortl, Color.DarkBlue, "f"));
chart1.ChartAreas[0].AxisX.Minimum = gr.Min.Q - gr.Len.Q * 0.05;
chart1.ChartAreas[0].AxisX.Maximum = gr.Max.Q + gr.Len.Q * 0.05;
chart1.ChartAreas[0].AxisX.Interval = Math.Round(gr.Len.Q * 0.1, 3);
chart1.ChartAreas[0].AxisY.Interval = Math.Round(gr2.Len.Q * 0.1, 3);
chart1.ChartAreas[0].AxisY.Minimum = gr2.Min.Q - gr2.Len.Q * 0.05;
chart1.ChartAreas[0].AxisY.Maximum = gr2.Max.Q + gr2.Len.Q * 0.05;
chart2.ChartAreas[0].AxisX.Minimum = chart2.ChartAreas[0].AxisY.Minimum = 0;
chart2.ChartAreas[0].AxisX.Maximum = CRA.f.GetLength(0);
chart2.ChartAreas[0].AxisY.Maximum = CRA.f.GetLength(1);
chart2.ChartAreas[0].AxisX.Interval = chart2.ChartAreas[0].AxisY.Interval = 100;
chart1.Titles[0].Text = "y";
chart1.Titles[1].Text = "x";
chart2.Titles[0].Text = "x";
chart2.Titles[1].Text = "y";
chart2.ChartAreas[0].AxisY.CustomLabels.Clear();
/*for (int j = 0; j < CRA.f.GetLength(0); j++)
* {
* string str2 = "";
* for (int k = 0; k < CRA.f.GetLength(1); k++)
* {
* str2 = "f" + j.ToString() + "_" + k.ToString();
* chart2.Series.Add(str2);
* chart2.Series[str2].ChartType = System.Windows.Forms.DataVisualization.Charting.SeriesChartType.Point;
* chart2.Series[str2].MarkerStyle = MarkerStyle.Square;
* chart2.Series[str2].IsVisibleInLegend = false;
* chart2.Series[str2].MarkerSize = (chart2.Size.Width - 20 + k * 10) / CRA.f.GetLength(0);
* //chart2.Series[str2]["PixelPointWidth"] = "200";//PointWidth
* double z = CRA.f[j, k];
* if (z > 0.07)
* chart2.Series[str2].Color = Color.Black;
* else
* {
* int r = 255 - (int)(255 * CRA.f[j, k] / 0.07);
* chart2.Series[str2].Color = Color.FromArgb(r, r, r);
* }
* //chart2.Series[str2].Color = Color.FromArgb(r, r, r);
* //chart2.Series[str2]["StackedGroupName"] = "Group" + j.ToString();
* chart2.Series[str2].Points.AddXY(j + 0.5,
* k + 0.5);
* }
* }*/
Image d = PaintData.Paintf(CRA, 1000, 1000);
NamedImage ni = new NamedImage("backimage", d);
chart2.Images.Add(ni);
chart2.ChartAreas[0].BackImageAlignment = ChartImageAlignmentStyle.Center;
chart2.ChartAreas[0].BackImageWrapMode = ChartImageWrapMode.Scaled;
chart2.ChartAreas[0].BackImage = "backimage";
if (CRA.Doubl == true && CRA.Nezal == true)
{
chart1.Series.Add("Лін Рег" + ":" + CRA.RegresTypeVib);
chart1.Series["Лін Рег" + ":" + CRA.RegresTypeVib].ChartType = System.Windows.Forms.DataVisualization.Charting.SeriesChartType.Line;
chart1.Series["Лін Рег" + ":" + CRA.RegresTypeVib].Color = Color.Yellow;
chart1.Series["Лін Рег" + ":" + CRA.RegresTypeVib].BorderWidth = 3;
if (CRA.RegresTypeVib == RegresTypeName.LineRegresion)
{
//CRA.ABTeil
///teilor
chart1.Series.Add("Лін Рег Тейл");
chart1.Series["Лін Рег Тейл"].ChartType = System.Windows.Forms.DataVisualization.Charting.SeriesChartType.Line;
chart1.Series["Лін Рег Тейл"].Color = Color.Green;
chart1.Series["Лін Рег Тейл"].Points.AddXY(gr.Min.Q, CRA.ABTeil[0] + gr.Min.Q * CRA.ABTeil[1]);
chart1.Series["Лін Рег Тейл"].BorderWidth = 3;
chart1.Series["Лін Рег Тейл"].Points.AddXY(gr.Max.Q, CRA.ABTeil[0] + gr.Max.Q * CRA.ABTeil[1]);
}
chart1.Series.Add("Тол меж");
chart1.Series["Тол меж"].ChartType = System.Windows.Forms.DataVisualization.Charting.SeriesChartType.Line;
chart1.Series["Тол меж"].Color = Color.DarkRed;
chart1.Series["Тол меж"].BorderWidth = 2;
chart1.Series.Add("Тол меж2");
chart1.Series["Тол меж2"].ChartType = System.Windows.Forms.DataVisualization.Charting.SeriesChartType.Line;
chart1.Series["Тол меж2"].Color = chart1.Series["Тол меж"].Color;
chart1.Series["Тол меж2"].IsVisibleInLegend = false;
chart1.Series["Тол меж2"].BorderWidth = 2;
chart1.Series.Add("Дов інтр");
chart1.Series["Дов інтр"].ChartType = System.Windows.Forms.DataVisualization.Charting.SeriesChartType.Line;
chart1.Series["Дов інтр"].Color = Color.DarkMagenta;
chart1.Series["Дов інтр"].BorderWidth = 2;
chart1.Series.Add("Дов інтр2");
chart1.Series["Дов інтр2"].ChartType = System.Windows.Forms.DataVisualization.Charting.SeriesChartType.Line;
chart1.Series["Дов інтр2"].Color = chart1.Series["Дов інтр"].Color;
chart1.Series["Дов інтр2"].IsVisibleInLegend = false;
chart1.Series["Дов інтр2"].BorderWidth = 2;
if (CRA.RegresTypeVib != RegresTypeName.ParabRegresion)
{
for (double x0 = gr.Min.Q; x0 <= gr.Max.Q; x0 += gr.Len.Q * 0.005)
{
double Sx0 = Math.Sqrt(CRA.Szal * (1 + 1.0 / gr.l.Count) + CRA.Q[1].QSigma * Math.Pow(x0 - gr.Mx.Q, 2));
if (CRA.RegresTypeVib == RegresTypeName.LineRegresion)
{
chart1.Series["Дов інтр"].Points.AddXY(x0, RegresType.Model(x0, CRA.Q, CRA.RegresTypeVib) - CRA.T * Sx0);
chart1.Series["Дов інтр2"].Points.AddXY(x0, RegresType.Model(x0, CRA.Q, CRA.RegresTypeVib) + CRA.T * Sx0);
}
chart1.Series["Тол меж"].Points.AddXY(x0, RegresType.Model(x0, CRA.Q, CRA.RegresTypeVib) - CRA.T * CRA.Szal);
chart1.Series["Тол меж2"].Points.AddXY(x0, RegresType.Model(x0, CRA.Q, CRA.RegresTypeVib) + CRA.T * CRA.Szal);
}
for (double x0 = gr.Min.Q; x0 <= gr.Max.Q; x0 += gr.Len.Q * 0.005)
{
chart1.Series["Лін Рег" + ":" + CRA.RegresTypeVib].Points.AddXY(x0, RegresType.Model(x0, CRA.Q, CRA.RegresTypeVib));
}
}
else if (CRA.RegresTypeVib == RegresTypeName.ParabRegresion)
{
double x2 = InitialStatisticalAnalys.StartMoment(gr.l, 2);
double x3 = InitialStatisticalAnalys.StartMoment(gr.l, 3);
double x4 = InitialStatisticalAnalys.StartMoment(gr.l, 4);
double Tt = Distributions.StudentQuantile(1 - gr.alf.Q / 2, gr.unsortl.Length - 3);
for (double x0 = gr.Min.Q; x0 <= gr.Max.Q; x0 += gr.Len.Q * 0.005)
{
double Sx0 = Math.Sqrt(Math.Pow(CRA.Szal2, 2) * (1 + 1.0 / gr.l.Count) +
Math.Pow(CRA.Q[4].QSigma * Correlation_RegressionAnalysis.fi1F(x0, gr.Mx.Q), 2) +
Math.Pow(CRA.Q[5].QSigma * Correlation_RegressionAnalysis.fi2F(x0, gr.Dx.Q, gr.Mx.Q, x2, x3), 2));
/*
* chart1.Series["Дов інтр"].Points.AddXY(x0, RegresType.Model(x0, CRA.Q, CRA.RegresTypeVib) - CRA.T * Sx0);
* chart1.Series["Дов інтр2"].Points.AddXY(x0, RegresType.Model(x0, CRA.Q, CRA.RegresTypeVib) + CRA.T * Sx0);*/
chart1.Series["Дов інтр"].Points.AddXY(x0, CRA.Q[3].Q + CRA.Q[4].Q * Correlation_RegressionAnalysis.fi1F(x0, gr.Mx.Q)
+ CRA.Q[5].Q * Correlation_RegressionAnalysis.fi2F(x0, gr.Dx.Q, gr.Mx.Q, x2, x3)
- Tt * Sx0);
chart1.Series["Дов інтр2"].Points.AddXY(x0, CRA.Q[3].Q + CRA.Q[4].Q * Correlation_RegressionAnalysis.fi1F(x0, gr.Mx.Q)
+ CRA.Q[5].Q * Correlation_RegressionAnalysis.fi2F(x0, gr.Dx.Q, gr.Mx.Q, x2, x3)
+ Tt * Sx0);
chart1.Series["Тол меж"].Points.AddXY(x0, CRA.Q[3].Q + CRA.Q[4].Q * Correlation_RegressionAnalysis.fi1F(x0, gr.Mx.Q)
+ CRA.Q[5].Q * Correlation_RegressionAnalysis.fi2F(x0, gr.Dx.Q, gr.Mx.Q, x2, x3)
- Tt * CRA.Szal2);
chart1.Series["Тол меж2"].Points.AddXY(x0, CRA.Q[3].Q + CRA.Q[4].Q * Correlation_RegressionAnalysis.fi1F(x0, gr.Mx.Q)
+ CRA.Q[5].Q * Correlation_RegressionAnalysis.fi2F(x0, gr.Dx.Q, gr.Mx.Q, x2, x3)
+ Tt * CRA.Szal2);
}
for (double x0 = gr.Min.Q; x0 <= gr.Max.Q; x0 += gr.Len.Q * 0.005)
{
chart1.Series["Лін Рег" + ":" + CRA.RegresTypeVib].Points.AddXY(x0, CRA.Q[3].Q + CRA.Q[4].Q * Correlation_RegressionAnalysis.fi1F(x0, gr.Mx.Q)
+ CRA.Q[5].Q * Correlation_RegressionAnalysis.fi2F(x0, gr.Dx.Q, gr.Mx.Q, x2, x3));
}
}
}
}