private void btnRefreshIntervalVariationRow_Click(object sender, EventArgs e)
{
var ivRow = new IntervalVariationRow(variationRow, (int)nudIntervalsCount.Value);
FillIntervalVariationTable(ivRow);
DrawHistogram(ivRow, dataItems);
}
// Критерій згоди Пірсона χ2
public static double GetPirsonCriteria(IntervalVariationRow intervalVariationRow, double m, double sigma)
{
double pirsonCriteria = 0;
int N = intervalVariationRow.N;
foreach (var intervalVariant in intervalVariationRow.IntervalVariants)
{
var ni0 = GetTeoreticalFrequency(intervalVariant, N, m, sigma);
pirsonCriteria += ((intervalVariant.Frequency - ni0) * (intervalVariant.Frequency - ni0))
/ ni0;
}
return(pirsonCriteria);
}
private void FillIntervalVariationTable(IntervalVariationRow ivRow)
{
gvIntervalVariationRow.Rows.Clear();
foreach (var variant in ivRow.IntervalVariants)
{
var rowIndex = gvIntervalVariationRow.Rows.Add();
gvIntervalVariationRow.Rows[rowIndex].HeaderCell.Value = String.Format("{0}", rowIndex + 1);
gvIntervalVariationRow.Rows[rowIndex].Cells["Interval"].Value = $"{variant.Interval.Item1.ToString("#.###")} - {variant.Interval.Item2.ToString("#.###")}";
gvIntervalVariationRow.Rows[rowIndex].Cells["Freq"].Value = variant.Frequency;
gvIntervalVariationRow.Rows[rowIndex].Cells["RelFreq"].Value = String.Format("{0:0.###}", variant.RelativeFrequency);
gvIntervalVariationRow.Rows[rowIndex].Cells["cummulatedFrequency"].Value = String.Format("{0:0.###}", variant.CummulatedFrequenct);
gvIntervalVariationRow.Rows[rowIndex].Cells["DispFunc"].Value = String.Format("{0:0.###}", variant.EmpericalFunction);
}
}
private void FillAllData(List <double> dataItems)
{
variationRow = new VariationRow(dataItems);
FillVariationTable(variationRow);
DrawEmpericalChart(variationRow.Variants);
lblStegesClassesCount.Text = Formulas.GetNumberOfClasses(dataItems.Count).ToString();
nudIntervalsCount.Value = Formulas.GetNumberOfClasses(variationRow.DataCount);
iVariationRow = new IntervalVariationRow(variationRow, (int)nudIntervalsCount.Value);
FillIntervalVariationTable(iVariationRow);
DrawHistogram(iVariationRow, dataItems);
FillCharacteristicsGrid(dataItems, dgvCharacteristics);
}
private void DrawHistogram(IntervalVariationRow ivRow, List <double> data)
{
crtIntervalRow.Series["Frequency"].Points.Clear();
crtIntervalRow.Series["Frequency"]["PointWidth"] = "1";
crtIntervalRow.Series["ProbabilityDensity"].Points.Clear();
crtIntervalRow.Series["ProbabilityDensity"].BorderWidth = 2;
var m = StatCharacteristicModel.Average.GetAverage(data);
var sigma = StatCharacteristicModel.StandartDeviationNotSkew.GetValue(data);
foreach (var iVariant in ivRow.IntervalVariants)
{
crtIntervalRow.Series["Frequency"].Points.AddXY(iVariant.Interval.Item1.ToString("#.###"), iVariant.RelativeFrequency);
var x = (iVariant.Interval.Item1 + iVariant.Interval.Item2) / 2;
var probabilityDensity = ivRow.h * NormalDistribution.ProbabilityDensity(x, m, sigma);
crtIntervalRow.Series["ProbabilityDensity"].Points.AddXY(x.ToString("#.###"), probabilityDensity);
}
}