private void DrawHistogram()
{
//plot.AddLine("Hist10", OxyColors.Black);
//for(int i = 0; i < hist10.Length; i++) {
// if(hist10[i]>0)plot.AddPoint(i,hist10[i]);
//}
for (int j = 1; j < 35; j += 5)
{
byte c = (byte)(j * 5);
plot.AddLine("Hist (N=" + j * 10 + ")", OxyColor.FromRgb(c, c, c));
for (int i = 0; i < 1500; i++)
{
if (hist[j, i] > 0)
{
plot.AddPoint(i, hist[j, i]);
}
}
}
int x = 34;
plot.AddLine("Hist" + x * 10, OxyColors.Red);
for (int i = 0; i < 1500; i++)
{
if (hist[x, i] > 0)
{
plot.AddPoint(i, hist[x, i]);
}
}
}
public Sampler(MainWindowModel mw)
{
this.window = mw;
rwplot = new RandomWalkPlot(window.Plot1, "Sampling Gauss/Cauchy ", "");
for (int i = 0; i < N; i++)
{
samples[0, i] = cauchyRandom();
samples[1, i] = gaussRandom();
}
Console.WriteLine(samples[0, 2]);
rwplot.AddLine("Cauchy", OxyColors.Blue);
for (int i = 0; i < N; i++)
{
double mean = 0;
for (int j = 0; j < i; j++)
{
mean = mean + samples[0, j];
}
rwplot.AddPoint(i, mean / i);
}
rwplot.AddLine("Gauss", OxyColors.Red);
for (int i = 0; i < N; i++)
{
double mean = 0;
for (int j = 0; j < i; j++)
{
mean = mean + samples[1, j];
}
rwplot.AddPoint(i, mean / i);
}
}
