private double[] point(double[] arr, int CountInterval)
{
double max = DiscriptiveStatistics.Max(arr);
double min = DiscriptiveStatistics.Min(arr);
double[] points = new double[CountInterval + 1];
for (int i = 0; i < points.Length; i++)
{
points[i] = max - i * (max - min) / CountInterval;
}
return(points.OrderBy(x => x).ToArray());
}
private double[] theoretical_freq(double[] arr, double sum, double[] xn, int CountInterval)
{
double X_aver = DiscriptiveStatistics.Average(arr);
double disp = Math.Sqrt(DiscriptiveStatistics.Dispersion(arr));
double[] m_t = new double[CountInterval];
double h = (DiscriptiveStatistics.Max(arr) - DiscriptiveStatistics.Min(arr)) / CountInterval;
for (int i = 0; i < m_t.Length; i++)
{
double u = (xn[i] - X_aver) / disp;
double f_u = 1 / (Math.Sqrt(2 * Math.PI) * Math.Pow(Math.E, (u * u) / 2));
m_t[i] = sum * h / disp * f_u;
}
return(m_t);
}
private void err()
{
double srErr = 0;
tb.Text = "";
for (int i = 0; i < colum; i++)
{
double t = 2.5;
double[] buf = columArray[i];
double disp = DiscriptiveStatistics.Dispersion(buf);
srErr += DiscriptiveStatistics.StandartError(buf);
double err = Math.Sqrt(disp / buf.Length);
double err2 = t * err;
double n = t * t * disp * buf.Length / (err2 * err2 * buf.Length + t * t * disp);
tb.Text += i + "\tn = " + n + "\tсред.ош. = " + err + "\tпредел.ош. = " + err2 + "\n";
}
srErr /= colum;
tb.Text += "\nСредняя ошибка: " + srErr;
}
private void output(double[][] arr)
{
for (int i = 0; i < colum; i++)
{
string s = "";
string t = "";
s += (i + 1).ToString() + "\n\n";
t += "\t\n\n\n";
s += string.Format("{0:F2}", DiscriptiveStatistics.Average(arr[i])) + "\n\n";
t += "\t\n\n\n";
s += string.Format("{0:F2}", DiscriptiveStatistics.Amount(arr[i])) + "\n\n";
t += "\t\n\n\n";
s += string.Format("{0:F2}", DiscriptiveStatistics.StandartError(arr[i])) + "\n\n";
t += "\t\n\n\n";
s += string.Format("{0:F2}", DiscriptiveStatistics.Median(arr[i])) + "\n\n";
t += "\t\n\n\n";
s += string.Format("{0:F2}", DiscriptiveStatistics.Fashion(arr[i])) + "\n\n";
t += "\t\n\n\n";
s += string.Format("{0:F2}", DiscriptiveStatistics.StandartDeviation(arr[i])) + "\n\n";
t += "\t\n\n\n";
s += string.Format("{0:F2}", DiscriptiveStatistics.Dispersion(arr[i])) + "\n\n";
t += "\t\n\n\n";
s += string.Format("{0:F2}", DiscriptiveStatistics.Excess(arr[i])) + "\n\n";
t += "\t\n\n\n";
s += string.Format("{0:F2}", DiscriptiveStatistics.Asymmetry(arr[i])) + "\n\n";
t += "\t\n\n\n";
s += string.Format("{0:F2}", DiscriptiveStatistics.Interval(arr[i])) + "\n\n";
t += "\t\n\n\n";
s += string.Format("{0:F2}", DiscriptiveStatistics.Min(arr[i])) + "\n\n";
t += "\t\n\n\n";
s += string.Format("{0:F2}", DiscriptiveStatistics.Max(arr[i])) + "\n\n";
t += "\t\n\n\n";
s += string.Format("{0:F2}", arr[i].Length) + "\n\n";
t += "\t\n\n\n";
stpDiscrStat.Children.Add(new TextBlock {
Text = s
});
stpDiscrStat.Children.Add(new TextBlock {
Text = t
});
}
}
private void BtnDATA_Click()
{
Data.GetCsv();
columArraySource = Data.Array;
columArray = new double[Data.parametrs.Count][];
colum = Data.parametrs.Count;
for (int i = 0; i < colum; i++)
{
columArray[i] = DiscriptiveStatistics.Rationing_MaxMin(columArraySource[i]);
}
StackPanel stp = new StackPanel();
stp.Orientation = Orientation.Horizontal;
for (int i = 0; i < Data.Array.Length; i++)
{
double[] buf = Data.Array[i];
TextBlock lv = new TextBlock();
lv.Width = 100;
lv.Height = Data.Array[0].Length * 18;
lv.Text += Data.parametrs[i] + "\n";
for (int j = 0; j < buf.Length; j++)
{
lv.Text += buf[j] + "\n";
}
stp.Children.Add(lv);
}
scv.Content = stp;
string s = "";
for (int j = 0; j < columArray[0].Length; j++)
{
for (int i = 0; i < colum; i++)
{
s += columArray[i][j] + " ";
}
s += "\n";
}
tb.Text = s;
}
private void Pair()
{
try
{
koeffPair = new DenseMatrix(colum, colum);
for (int i = 0; i < colum; i++)
{
for (int j = i; j < colum; j++)
{
koeffPair[i, j] = koeffPair[j, i] = DiscriptiveStatistics.PairKoeff(columArray[i], columArray[j]);
}
}
DenseMatrix t_Matrix = T_Matrix_Koeff(koeffPair);
tbMatrix.Text = Output_R(koeffPair);
tbMatrix.Text += "Коэффициент значим при t > 1.96 (з - значим, н - не значим)\n";
string s = "\t";
for (int i = 0; i < colum; i++)
{
s += (i + 1).ToString() + "\t";
}
s += "\n\n";
for (int i = 0; i < colum; i++)
{
s += (i + 1).ToString() + "\t";
for (int j = 0; j < colum; j++)
{
if (t_Matrix[i, j] > t_tabl)
{
s += "з\t";
}
else
{
s += "н\t";
}
}
s += "\n\n";
}
s += "\n\n";
tbMatrix.Text += s;
#region Окружность
var X_Y = new List <KeyValuePair <double, double> >()
{
new KeyValuePair <double, double>(150, 0),
new KeyValuePair <double, double>(250, 40),
new KeyValuePair <double, double>(270, 90),
new KeyValuePair <double, double>(270, 190),
new KeyValuePair <double, double>(250, 250),
new KeyValuePair <double, double>(150, 295),
new KeyValuePair <double, double>(40, 250),
new KeyValuePair <double, double>(10, 190),
new KeyValuePair <double, double>(10, 90),
new KeyValuePair <double, double>(40, 40)
};
foreach (KeyValuePair <double, double> x in X_Y)
{
Ellipse l = new Ellipse();
l.Width = l.Height = 5;
l.Fill = Brushes.Red;
Canvas.SetTop(l, x.Value);
Canvas.SetLeft(l, x.Key);
cnvMain.Children.Add(l);
}
for (int i = 0; i < colum; i++)
{
for (int j = i + 1; j < colum; j++)
{
if (i != j && koeffPair[i, j] >= 0.3 && koeffPair[i, j] < 0.5)
{
Line l = new Line();
l.X1 = X_Y[i].Key;
l.X2 = X_Y[j].Key;
l.Y1 = X_Y[i].Value;
l.Y2 = X_Y[j].Value;
l.Stroke = Brushes.Red;
l.StrokeThickness = 1;
cnvMain.Children.Add(l);
}
if (i != j && koeffPair[i, j] >= 0.5 && koeffPair[i, j] < 0.7)
{
Line l = new Line();
l.X1 = X_Y[i].Key;
l.X2 = X_Y[j].Key;
l.Y1 = X_Y[i].Value;
l.Y2 = X_Y[j].Value;
l.Stroke = Brushes.Yellow;
l.StrokeThickness = 1;
cnvMain.Children.Add(l);
}
if (i != j && koeffPair[i, j] >= 0.7 && koeffPair[i, j] < 1)
{
Line l = new Line();
l.X1 = X_Y[i].Key;
l.X2 = X_Y[j].Key;
l.Y1 = X_Y[i].Value;
l.Y2 = X_Y[j].Value;
l.Stroke = Brushes.Green;
l.StrokeThickness = 1;
cnvMain.Children.Add(l);
}
}
}
#endregion
}
catch (Exception ex) { MessageBox.Show(ex.Message, "Ошибка"); }
}
