void btnOk_Click(object sender, EventArgs e)
{
try
{
Sample[] arrSX = new Sample[matrX.GetLength(1)];
for (int j = 0; j < matrX.GetLength(1); j++)
{
double[] arrX = new double[matrX.GetLength(0)];
for (int i = 0; i < matrX.GetLength(0); i++)
{
arrX[i] = matrX[i, j];
}
arrSX[j] = new TranSample(new Sample(arrXName[j],
string.Format("x<sub>{0}</sub>", j + 1), arrX),
dgv.Rows[j].Cells[1].Value.ToString());
}
Regression[] arrReg = new Regression[matrY.GetLength(1)];
rep = "ПАРАМЕТРИЧЕСКАЯ ИДЕНТИФИКАЦИЯ<br>";
for (int j = 0; j < matrY.GetLength(1); j++)
{
double[] arrY = new double[matrY.GetLength(0)];
for (int i = 0; i < matrY.GetLength(0); i++)
{
arrY[i] = matrY[i, j];
}
arrReg[j] = new Regression(new Sample("y", string.Format("y<sub>{0}</sub>", j + 1), arrY), arrSX);
rep += arrReg[j].GetRegReport() + "<br>";
}
Quality.GenErr(matrX, matrY, arrReg, int.Parse(tbN.Text), double.Parse(tbA.Text),
double.Parse(tbB.Text), out arrI, out matrXM, out matrYM);
rep += string.Format("ПАРАМЕТРЫ ГЕНЕРАЦИИ<br>n = {0}<br>A = {1}<br>B = {2}<br><br>",
tbN.Text, tbA.Text, tbB.Text);
rep += "ПЕРЕЧЕНЬ ИЗМЕНЕННЫХ НАБЛЮДЕНИЙ<br>";
foreach (int i in arrI)
{
rep += string.Format("{0} ", i + 1);
}
WBForm wbf = new WBForm("Параметрическая идентификация и генерация наблюдений", rep);
DialogResult = DialogResult.OK;
Close();
wbf.ShowDialog();
}
catch
{
MessageBox.Show("Ошибка генерации");
}
}
void btnOk_Click(object sender, EventArgs e)
{
try
{
Regression[] arrReg = new Regression[matrY.GetLength(1)];
repSmp = repHSmp = repId = repHId = repCorr = repHCorr = repGen = "";
Sample[] arrSX = new Sample[matrX.GetLength(1)];
for (int j = 0; j < arrSX.Length; j++)
{
double[] arrX = new double[matrX.GetLength(0)];
for (int i = 0; i < matrX.GetLength(0); i++)
{
arrX[i] = matrX[i, j];
}
arrSX[j] = new Sample(arrXName[j], string.Format("x<sub>{0}</sub>", j + 1), arrX);
arrSX[j].Calculate();
repSmp += arrSX[j].GetReport();
repHSmp += arrSX[j].GetHypReport();
}
repId = "ПАРАМЕТРИЧЕСКАЯ ИДЕНТИФИКАЦИЯ<br>";
Sample[] arrSY = new Sample[matrY.GetLength(1)];
for (int j = 0; j < matrY.GetLength(1); j++)
{
Sample[] arrTSX = new Sample[matrX.GetLength(1)];
for (int k = 0; k < matrX.GetLength(1); k++)
{
arrTSX[k] = new TranSample(arrSX[k],
dgv.Rows[k].Cells[j + 1].Value.ToString());
}
double[] arrY = new double[matrY.GetLength(0)];
for (int i = 0; i < matrY.GetLength(0); i++)
{
arrY[i] = matrY[i, j];
}
Sample smpY = new Sample(arrYName[j], string.Format("y<sub>{0}</sub>", j + 1), arrY);
smpY.Calculate();
arrSY[j] = smpY;
repSmp += smpY.GetReport();
repHSmp += smpY.GetHypReport();
arrReg[j] = new Regression(smpY, arrTSX);
repId += arrReg[j].GetRegReport() + "<br>";
repCorr += arrReg[j].GetCorrReport();
if (cbH.Checked)
{
arrReg[j].CheckHypothesises(double.Parse(tbAlpha.Text));
repHId += arrReg[j].GetHypRegrReport();
repHCorr += arrReg[j].GetHypCorrReport();
}
}
Sample[] arrSYX = new Sample[matrX.GetLength(1) + matrY.GetLength(1) - 1];
for (int i = 0; i < arrSY.Length - 1; i++)
{
arrSYX[i] = arrSY[i + 1];
}
for (int i = 0; i < arrSX.Length; i++)
{
arrSYX[arrSY.Length - 1 + i] = arrSX[i];
}
Regression reg = new Regression(arrSY[0], arrSYX);
repCorrXY = reg.GetCorrReport().Replace("<P>ПОКАЗАТЕЛЬ: y<sub>1</sub><BR>", "");
if (cbG.Checked)
{
Quality.GenErr(matrX, matrY, arrReg, int.Parse(tbN.Text), double.Parse(tbA.Text),
double.Parse(tbB.Text), out arrI, out matrXM, out matrYM);
repGen += string.Format("ПАРАМЕТРЫ ГЕНЕРАЦИИ<br>n = {0}<br>A = {1}<br>B = {2}<br><br>",
tbN.Text, tbA.Text, tbB.Text);
repGen += "ПЕРЕЧЕНЬ ИЗМЕНЕННЫХ НАБЛЮДЕНИЙ<br>";
foreach (int i in arrI)
{
repGen += string.Format("{0} ", i + 1);
}
}
else
{
matrXM = matrX;
matrYM = matrY;
}
DialogResult = DialogResult.OK;
Close();
}
catch
{
MessageBox.Show("Ошибка генерации");
}
}
