public double expcalkawielomian(double a, double b, double[] poly, int v)
{
var vals = new ChartValues <ObservablePoint>();
//ofstream plik;
//string filename("nodes" + std::to_string(v));
//plik.open(filename);
double result = 0, x = 0, fx = 0;
double h = (b - a) / v;
for (int i = 0; i <= v; i++)
{
x = a + i * h;
fx = exphorner(x, poly);
vals.Add(new ObservablePoint(x, fx));
points.Add(new ObservablePoint(x, fx));
//plik << x << " " << fx << endl;
if (i == 0 || i == v)
{
result += fx;
}
else if (i % 2 != 0)
{
result += 4 * fx;
}
else
{
result += 2 * fx;
}
}
result *= (h / 3);
nodesPoints.AddRange(vals);
var pointsToAdd = nodesPoints.GroupBy(y => y.X).Where(c => c.Count() == 1).Select(z => z.First()).OrderBy(w => w.X).ToList();
values.Add(new ChartValues <ObservablePoint>(pointsToAdd));
//plik.close();
return(result);
/*double simp = 0, blad = 0, s = 0, x = 0;
* double h = (b - a) / v;
* for (int i = 1; i <= v; i++)
* {
* x = a + i * h;
* blad += exphorner(x - (h / 2), poly);
* if (i < v)
* {
* s += (exphorner(x, poly));
* }
* }
* return (h / 6)*(exphorner(a, poly) + exphorner(b, poly) + 2 * s + 4 * blad);*/
}
public SingleKeySizeForm(int size, IEnumerable <XY> points)
{
InitializeComponent();
_size = size;
var mapper = Mappers.Xy <XY>()
.X(model => model.NDouble)
.Y(model => model.TotDouble)
.Fill(model => model.Y >= ChartValues.GroupBy(p => p.Y)
.OrderByDescending(gp => gp.Count()).Select(p => p.Key).FirstOrDefault()
? new SolidColorBrush(System.Windows.Media.Color.FromRgb(0, 150, 0))
: model.Y < ChartValues.GroupBy(p => p.Y)
.OrderByDescending(gp => gp.Count()).Select(p => p.Key).FirstOrDefault()
? new SolidColorBrush(System.Windows.Media.Color.FromRgb(200, 0, 0))
: null);
Charting.For <XY>(mapper);
ChartValues = new ChartValues <XY>();
RegressionValues = new ChartValues <ObservablePoint>();
UpperValues = new ChartValues <ObservablePoint>();
LowerValues = new ChartValues <ObservablePoint>();
NToNValues = new ChartValues <ObservablePoint>();
XAxis = new ChartValues <ObservablePoint>();
YAxis = new ChartValues <ObservablePoint>();
versusChart.Series = new SeriesCollection
{
new ScatterSeries
{
Values = ChartValues,
PointGeometry = DefaultGeometries.Diamond
},
new LineSeries
{
Values = RegressionValues,
PointGeometry = null,
Fill = Brushes.Transparent,
Stroke = new SolidColorBrush(System.Windows.Media.Color.FromRgb(200, 0, 0))
},
new LineSeries
{
Values = UpperValues,
PointGeometry = null,
Fill = Brushes.Transparent,
Stroke = new SolidColorBrush(System.Windows.Media.Color.FromRgb(200, 0, 0))
},
new LineSeries
{
Values = LowerValues,
PointGeometry = null,
Fill = Brushes.Transparent,
Stroke = new SolidColorBrush(System.Windows.Media.Color.FromRgb(200, 0, 0))
},
new LineSeries
{
Values = NToNValues,
PointGeometry = null,
Fill = Brushes.Transparent,
Stroke = new SolidColorBrush(System.Windows.Media.Color.FromRgb(0, 0, 200))
},
new LineSeries
{
Values = XAxis,
PointGeometry = null,
Fill = Brushes.Transparent,
Stroke = new SolidColorBrush(System.Windows.Media.Color.FromRgb(0, 0, 0))
},
new LineSeries
{
Values = YAxis,
PointGeometry = null,
Fill = Brushes.Transparent,
Stroke = new SolidColorBrush(System.Windows.Media.Color.FromRgb(0, 0, 0))
}
};
versusChart.DataClick += (sender, point) =>
{
var valuePoint = ChartValues.FirstOrDefault(v => v.NDouble == point.X && v.TotDouble == point.Y);
if (valuePoint != null)
{
Console.WriteLine(valuePoint.ToString());
Console.WriteLine("Range: " + _regression.GetPredictionInterval(valuePoint.NDouble, .99));
}
};
versusChart.Zoom = ZoomingOptions.Xy;
versusChart.DisableAnimations = true;
versusChart.DataTooltip = null;
ChartValues.AddRange(points);
CalculateRegression();
graphTabPanel.SelectedIndexChanged += (sender, args) =>
{
if (graphTabPanel.SelectedIndex == 1)
{
BuildHistogram();
}
};
Timer = new Timer
{
Interval = 10000
};
Timer.Tick += (sender, args) => addButton.PerformClick();
}
