public StatForm(Chart chart, string functionName, double pMin = -1, double pMax = 1)
{
InitializeComponent();
this.chart = chart;
Series series = chart.Series.FindByName(functionName);
chartAutocor.ChartAreas[0].AxisX.MajorGrid.Enabled = false;
chartAutocor.ChartAreas[0].AxisY.MajorGrid.Enabled = false;
chartAutocor.ChartAreas[0].AxisX.Crossing = 0;
chartAutocor.ChartAreas[0].AxisY.Crossing = 0;
lbMean.Text = Statistics.ExpectedValue(series.Points).ToString();
lbMeanSq.Text = Statistics.MeanSquare(series.Points).ToString();
lbMeanSqEr.Text = Statistics.MeanSquareError(series.Points).ToString();
lbVariance.Text = Statistics.Variance(series.Points).ToString();
lbStandartDev.Text = Statistics.StandartDeviation(series.Points).ToString();
lbMom3.Text = Statistics.CentralMoment(series.Points, 3).ToString();
lbMom4.Text = Statistics.CentralMoment(series.Points, 4).ToString();
mRndData = CreateRndData(functionName, pMin, pMax);
DrawAutocorrelationChart(chartAutocor, functionName, series.Points.Count);
DrawCrossCorrelationChart(chartCrosscor, functionName, series.Points.Count);
lbSkewness.Text = Statistics.Skewness(series.Points).ToString();
lbKurtosis.Text = Statistics.Kurtosis(series.Points).ToString();
double[] y = Statistics.Density(series.Points, 30);
DrawDensity(y, functionName);
lbIsStatic.Text = Statistics.isStatic(series.Points).ToString();
}
public void mCutSigma(double pC)
{
double expectedVal = Statistics.ExpectedValue(mValues);
double sigma = Statistics.StandartDeviation(mValues);
double s_count = pC;
mFunc = x => Math.Abs(mValues[x]) < expectedVal + s_count * sigma ? mValues[x] :expectedVal;
}
public void mAntiSpike(double pC)
{
double expectedVal = Statistics.ExpectedValue(mValues);
double sigma = Statistics.StandartDeviation(mValues);
double s_count = pC;
mFunc = x => Math.Abs(mValues[x]) < expectedVal + s_count * sigma ? mValues[x] : x == 0 ? expectedVal : x == mValues.Length ? expectedVal : ((mValues[x - 1] + mValues[x + 1]) / 2);
}
public void mAntiShift()
{
double expectedVal = Statistics.ExpectedValue(mValues);
mFunc = x => mValues[x] - expectedVal;
}