public void ShowGraph()
{
CheckDisposed();
CERegressionData[] arrayData = GetRegressionDatas();
if (arrayData == null)
{
return;
}
var listGraphData = new List <RegressionGraphData>();
for (int charge = 0; charge < arrayData.Length; charge++)
{
var regressionData = arrayData[charge];
if (regressionData == null)
{
continue;
}
listGraphData.Add(new RegressionGraphData
{
Title = string.Format(Resources.EditCEDlg_ShowGraph_Collision_Energy_Regression_Charge__0__, charge),
LabelX = Resources.EditCEDlg_ShowGraph_Precursor_m_z,
LabelY = Resources.EditCEDlg_ShowGraph_Collision_Energy,
XValues = regressionData.PrecursorMzValues,
YValues = regressionData.BestValues,
RegressionLine = regressionData.RegressionLine,
RegressionLineCurrent = regressionData.RegressionLineSetting
});
}
using (var dlg = new GraphRegression(listGraphData))
{
dlg.ShowDialog(this);
}
}
private void ShowGraph(string title, double[] xValues, double[] yValues, Dictionary <int, string> tooltips, RegressionLine line, bool xIrt)
{
var data = new RegressionGraphData
{
Title = title,
LabelX = !xIrt ? Resources.CalibrateIrtDlg_ShowGraph_Measured : Resources.CalibrateIrtDlg_ShowGraph_Old_iRT,
LabelY = !xIrt ? Resources.CalibrateIrtDlg_ShowGraph_iRT : Resources.CalibrateIrtDlg_ShowGraph_New_iRT,
XValues = xValues,
YValues = yValues,
Tooltips = tooltips,
RegressionLine = line,
};
using (var graph = new GraphRegression(new[] { data })
{
Width = 800, Height = 600
})
{
graph.ShowDialog(this);
}
}
public void ShowRegression(int rowIndex)
{
var row = GetRow(rowIndex);
if (row == null)
{
return;
}
RegressionGraphData[] data;
if (!_regressionGraphData.TryGetValue(row, out data))
{
return;
}
using (var graph = new GraphRegression(data)
{
Width = 800, Height = 600
})
{
graph.ShowDialog(this);
}
}
public void ShowGraph()
{
DPRegressionData regressionData = GetRegressionData();
if (regressionData == null)
{
return;
}
var graphData = new RegressionGraphData
{
Title = Resources.EditDPDlg_ShowGraph_Declustering_Potential_Regression,
LabelX = Resources.EditDPDlg_ShowGraph_Precursor_m_z,
LabelY = Resources.EditDPDlg_ShowGraph_Declustering_Potential,
XValues = regressionData.PrecursorMzValues,
YValues = regressionData.BestValues,
RegressionLine = regressionData.RegressionLine,
RegressionLineCurrent = regressionData.RegressionLineSetting
};
using (var dlg = new GraphRegression(new[] { graphData }))
{
dlg.ShowDialog(this);
}
}
public void ShowGraph()
{
var calc = _driverCalculators.SelectedItem;
if (calc == null)
{
return;
}
if (!calc.IsUsable)
{
using (var longWait = new LongWaitDlg
{
Text = Resources.EditRTDlg_ShowGraph_Initializing,
Message = string.Format(Resources.EditRTDlg_ShowGraph_Initializing__0__calculator, calc.Name)
})
{
try
{
var status = longWait.PerformWork(this, 800, monitor =>
{
calc = Settings.Default.RTScoreCalculatorList.Initialize(monitor, calc);
});
if (status.IsError)
{
MessageBox.Show(this, status.ErrorException.Message, Program.Name);
return;
}
}
catch (Exception x)
{
var message = TextUtil.LineSeparate(string.Format(Resources.EditRTDlg_ShowGraph_An_error_occurred_attempting_to_initialize_the_calculator__0__,
calc.Name),
x.Message);
MessageDlg.ShowWithException(this, message, x);
return;
}
}
}
var helper = new MessageBoxHelper(this);
double slope;
if (!helper.ValidateDecimalTextBox(textSlope, out slope))
{
return;
}
double intercept;
if (!helper.ValidateDecimalTextBox(textIntercept, out intercept))
{
return;
}
var scores = new List <double>();
var times = new List <double>();
foreach (var measuredPeptide in Peptides)
{
times.Add(measuredPeptide.RetentionTime);
double?score = calc.ScoreSequence(measuredPeptide.Target);
scores.Add(score ?? calc.UnknownScore);
}
var statScores = new Statistics(scores);
var statTimes = new Statistics(times);
double slopeRegress = statTimes.Slope(statScores);
double interceptRegress = statTimes.Intercept(statScores);
var regressionGraphData = new RegressionGraphData
{
Title = Resources.EditRTDlg_ShowGraph_Retention_Times_by_Score,
LabelX = calc.Name,
LabelY = Resources.EditRTDlg_ShowGraph_Measured_Time,
XValues = scores.ToArray(),
YValues = times.ToArray(),
RegressionLine = new RegressionLine(slopeRegress, interceptRegress),
RegressionLineCurrent = new RegressionLine(slope, intercept)
};
using (var dlg = new GraphRegression(new[] { regressionGraphData }))
{
dlg.ShowDialog(this);
}
}