private void DrawNetRegressionLine(ctlChartBase sender, PostRenderEventArgs args)
{
try
{
if (mcheckBox_displayRegression.Checked == false)
{
return;
}
foreach (Analysis analysis in m_displayCache.Keys)
{
// Here we only draw the regression line for the selected analysis, unless it's null, which means the user wants to see all of the analysis together.
if (analysis == m_selectedAnalysis || m_selectedAnalysis == null)
{
if (analysis.ProcessedState == ProcessingState.Processed)
{
// IRegressionAlgorithm regressor = analysis.RegressionResults.Regressor;
float xFrom = sender.ViewPort.X;
float xFinal = sender.ViewPort.Right;
clsColorIterator iterator = new clsColorIterator();
Color color = iterator.GetColor(analysis.Id);
color = Color.FromArgb(120, color);
using (Pen mpen_line = new Pen(color, 5))
{
if (!mcheckBox_useResiduals.Checked)
{
int numDivisions = 10;
float step = (xFinal - xFrom) / numDivisions;
for (; xFrom < xFinal; xFrom += step)
{
// float yFrom = Convert.ToSingle(regressor.GetTransformedNET(Convert.ToInt32(xFrom)));
// float xTo = xFrom + step;
// float yTo = Convert.ToSingle(regressor.GetTransformedNET(Convert.ToInt32(xTo)));
// args.Graphics.DrawLine(mpen_line, sender.GetScreenPixelX(xFrom), sender.GetScreenPixelY(yFrom),
// sender.GetScreenPixelX(xTo), sender.GetScreenPixelY(yTo));
}
}
else
{
args.Graphics.DrawLine(mpen_line, sender.GetScreenPixelX(xFrom), sender.GetScreenPixelY(0),
sender.GetScreenPixelX(xFinal), sender.GetScreenPixelY(0));
}
}
}
}
}
}
catch (Exception)
{
// who cares!
}
}
/// <summary>
/// Displays the scan vs. NET values for a single analysis.
/// </summary>
/// <param name="analysis"></param>
private void DisplayScansVsNet(Analysis analysis)
{
// Either the display does not have the analysis, or the display series was reset and needs to be re-rendered
if (!m_displayCache.ContainsKey(analysis) || m_displayCache[analysis] == null)
{
BubbleShape shape = new BubbleShape(1, false);
clsColorIterator colors = new clsColorIterator();
Color plotColor = colors.GetColor(analysis.Id);
clsPlotParams parameters = new clsPlotParams(shape, plotColor, false, true, true);
parameters.Name = analysis.Name;
float[] ordinate = new float[analysis.Targets.Count];
float[] abscissa = new float[analysis.Targets.Count];
int i = 0;
if (!mcheckBox_useResiduals.Checked)
{
foreach (Target target in analysis.Targets)
{
if (radioButtonAverageNET.Checked)
{
ordinate[i] = Convert.ToSingle(target.ParentTarget.GaNetAverage);
abscissa[i++] = Convert.ToSingle(target.Scan);
}
else
{
/// Only display predicted peptides if not using average NET
if (!target.IsPredicted)
{
continue;
}
ordinate[i] = Convert.ToSingle(target.NetPredicted);
abscissa[i++] = Convert.ToSingle(target.Scan);
}
}
}
else
{
foreach (Target target in analysis.Targets)
{
if (radioButtonAverageNET.Checked)
{
ordinate[i] = Convert.ToSingle(target.ParentTarget.GaNetAverage - target.NetAligned);
abscissa[i++] = Convert.ToSingle(target.Scan);
}
else
{
/// Only display predicted peptides if not using average NET
if (!target.IsPredicted)
{
continue;
}
ordinate[i] = Convert.ToSingle(target.NetPredicted - target.NetAligned);
abscissa[i++] = Convert.ToSingle(target.Scan);
}
}
}
clsSeries newSeries = new clsSeries(new ArrayChartDataProvider(abscissa, ordinate), parameters);
if (!m_displayCache.ContainsKey(analysis))
{
m_displayCache.Add(analysis, null);
}
m_displayCache[analysis] = newSeries;
}
clsSeries series = m_displayCache[analysis];
ctlChartScanVsNET.SeriesCollection.Add(series);
ctlChartScanVsNET.AutoViewPort();
}
