public void GeteroSked(double[] EEeval, Chart repres)//устранение гетероскедостичности
{
for (int i = 0; i < Watches; i++)
{
for (int j = 0; j < Variables; j++)
{
_x[i, j] = _x[i, j] / EEeval[i];
}
_y[i] = _y[i] / EEeval[i];
}
SLE(_x, _y, Variables, Watches);
YMul = new double[Watches];
YTempMake(X, YMul, Variables);
EvalQual(YMul, YMain);
TextManager text = new TextManager();
chart = new ChartManager(repres);
chart.FormChart();
chart.ChartBuild(repres, YMul, file);
}
public string text;//то, что вернет метод в форму
public void Analyt(string[] lines, Label txt, Chart linear, string red = "") //нужнр создать событие и в его делегат потом забивать последовательность методов которорые должны быть выполнены или мб просто чтобы срабатывали после нажатия некоторые хз наверно первое лучше
{
_key = false; // ключ на наличие качественных переменных =1 значит есть
file = new FileReader(lines);
if (string.Compare(red, "") != 0)
{
file = new FileReader(lines, red); _key = true;
}
file.XYMaking();
if (_key)
{
Qualit();
}
else
{
Linest();
}
SLE(X, Y, Variables, Watches);
YTempMake(X, Y, Variables);
EvalQual(Y, YMain);
chart = new ChartManager(linear);
chart.FormChart();
chart.ChartBuild(linear, Y, file);
//if (ShiftKey)txt.Text = $"olololo {Coeff[0]} { Coeff[ 1] } { Coeff[2] } ";
}
public void AutoCorr(double[] E, Chart ExpChart)//устранение автокорреляции
{
double[,] EX = new double[Watches - 1, 1];
double[] E1 = new double[Watches - 1];
for (int i = 1; i < Watches - 1; i++)
{
EX[i - 1, 0] = E[i];
E1[i - 1] = E[i - 1];
}
SLE(EX, E1, 1, Watches - 1);
double co = Coeff[0];
SLE(_x, _y, Variables, Watches);
Y[0] = 0;
for (int _j = 0; _j < Variables; _j++)
{
Y[0] += X[0, _j] * Coeff[_j];
}
for (int i = 1; i < Watches; i++)
{
Y[i] = co * (YMain[i - 1] - Y[i - 1]);
for (int _j = 0; _j < Variables; _j++)
{
Y[i] += X[i, _j] * Coeff[_j];
}
}
EvalQual(Y, YMain);
TextManager text = new TextManager();
chart = new ChartManager(ExpChart);
chart.FormChart();
chart.ChartBuild(ExpChart, Y, file);
}
public void MultiColl(Chart linear, double[] Rs)//устранение мультиколлинеарности
{
int l = 0;
double p1 = Rs[0];
for (int i = 1; i < file.Variables; i++)
{
if (p1 < Rs[i])
{
l = i;
p1 = Rs[i];
}
}
double[] p = new double[Watches];
for (int i = 0; i < Watches; i++)
{
p[i] = _x[i, l];
for (int j = 0; j < Variables; j++)
{
_x[i, j] = _x[i, j] / p[i];
}
_y[i] = _y[i] / p[i];
}
SLE(_x, _y, Variables, Watches);
YMul = new double[Watches];
YTempMake(X, YMul, Variables);
EvalQual(YMul, YMain);
TextManager text = new TextManager();
chart = new ChartManager(linear);
chart.FormChart();
chart.ChartBuild(linear, YMul, file);
}
public void ShiftFunk(Chart linear, Label txt, string Shifts = "")
{
if (string.Compare(Shifts, "") != 0 && ShiftKey)
{
string[] Shiftsa = Shifts.Split(' ', ' ');
this.Shift = Convert.ToInt32(Shiftsa[0]);
}
int variables = Variables * 2;
double[,] x1 = new double[Watches, variables];
double[,] X1 = new double[Watches, variables];
for (int i = 0; i < Watches; i++)
{
for (int j = 0; j < variables; j++)
{
if (i < Shift)
{
if (j < Variables)
{
x1[i, j] = _x[i, j];
}
else
{
x1[i, j] = 0;
}
}
else
if (j > Variables)
{
x1[i, j] = _x[i, j - Variables];
}
else
{
x1[i, j] = 0;
}
}
x1[i, 0] = _x[i, 0];
if (i >= Shift)
{
x1[i, Variables] = _x[i, 0];
}
else
{
x1[i, Variables] = 0;
}
}
for (int i = 0; i < Watches; i++)
{
for (int j = 0; j < variables; j++)
{
if (i < Shift)
{
if (j < Variables)
{
X1[i, j] = X[i, j];
}
else
{
X1[i, j] = 0;
}
}
else
if (j > Variables)
{
X1[i, j] = X[i, j - Variables];
}
else
{
X1[i, j] = 0;
}
}
X1[i, 0] = X[i, 0];
if (i >= Shift)
{
X1[i, Variables] = X[i, 0];
}
else
{
X1[i, Variables] = 0;
}
}
/*txt.Text = $"{x1[0, 0]} {x1[0, 1]} {x1[0, 2]} {x1[0, 3]} {x1[0, 4]} {x1[0, 5]}\n" +
* $"{x1[1, 0]} {x1[1, 1]} {x1[1, 2]} {x1[1, 3]} {x1[1, 4]} {x1[1, 5]}\n" +
* $"{x1[10, 0]} {x1[10, 1]} {x1[10, 2]} {x1[10, 3]} {x1[10, 4]} {x1[10, 5]}\n"+
* $"{Shift}";*/
SLE(x1, _y, variables, Watches);
YTempMake(X1, Y, variables);
EvalQual(Y, YMain);
TextManager text = new TextManager();
chart = new ChartManager(linear);
chart.FormChart();
chart.ChartBuild(linear, Y, file);
}
