private void CalculateStandardDeviations()
{
int meanTypes = new MeanTypesStrings().Count();
double stdDeviation;
IList <double> averagesValues;
IList <double> idealValues;
for (int i = 0; i < Data.Count; i++)
{
for (int j = 0; j < Noises.Count; j++)
{
Data[i][j].GenerateIdealCurve(Settings.Pcd.Scaffold, Settings.Pcd.Parameters, Settings.Ui.StartX, Settings.Ui.EndX, Settings.Ui.PointsNo);
Data[i][j].PropagateIdealCurve(Settings.Ui.CurvesNo);
Data[i][j].MakeNoiseOfGaussian(Settings.Ui.CurvesNo, Noises[j]);
MakeMalformation((Phenomenon)i, Data[i][j], Settings.Ui.CurvesNo / 2);
for (int k = 0; k < meanTypes; k++)
{
Data[i][j].TryMakeAverageCurve((MeanType)k, Settings.Ui.CurvesNo);
SeriesAssist.CopyPoints(Data[i][j].AverageCurve, Averages[i][j][k]);
averagesValues = SeriesAssist.GetValues(Averages[i][j][k]);
idealValues = SeriesAssist.GetValues(Data[i][j].IdealCurve);
stdDeviation = Mathematics.GetRelativeStandardDeviation(averagesValues, idealValues);
StdDeviations[i][j][k] = stdDeviation;
}
}
}
}
private void UpdateUiByGridPresentation()
{
const int FIRST_ROW_HEADER_WIDTH = 23 * 6 + 23;
IList <string> meanNames = new MeanTypesStrings().ToList();
DataGridView[] grids = GetUiGrids();
grids.ToList().ForEach(grid => {
GridAssist.AddRows(grid, meanNames.Count);
grid.RowHeadersWidth = FIRST_ROW_HEADER_WIDTH;
grid.ColumnHeadersDefaultCellStyle.Alignment = DataGridViewContentAlignment.MiddleCenter;
});
for (int i = 0; i < meanNames.Count; i++)
{
grids.ToList().ForEach(grid => GridAssist.AlterRowHeader(grid.Rows[i], meanNames[i]));
}
}
