internal void Add(FitSet fs)
{
try
{
if (fs.Tracks.Length < 2) throw new Exception("At least two slopes must be measured.");
if (clSlopeSets.Items.Contains(fs)) throw new Exception("Slope set is already contained and will not be added again.");
foreach (object o in clSlopeSets.Items)
{
FitSet fso = (FitSet)o;
if (fso.Source == fs.Source) throw new Exception("Slope set is already contained and will not be added again.");
int i, j;
i = j = 0;
while (i < fso.Tracks.Length && j < fs.Tracks.Length)
if (fso.Tracks[i].Field < fs.Tracks[j].Field) i++;
else if (fso.Tracks[i].Field > fs.Tracks[j].Field) j++;
else throw new Exception("The new data set has at least one plate in common with \"" + fso.ToString() + "\".\r\nCombined fit requires that no data be in common.\r\nDuplicate found on layer " +
fso.Tracks[i].Field + " Grains " + fso.Tracks[i].Count + " SX/Y " +
fso.Tracks[i].Slope.X.ToString("F4", System.Globalization.CultureInfo.InvariantCulture) + "/" +
fso.Tracks[i].Slope.Y.ToString("F4", System.Globalization.CultureInfo.InvariantCulture));
}
clSlopeSets.SetItemChecked(clSlopeSets.Items.Add(fs), true);
}
catch (Exception x)
{
MessageBox.Show(x.Message, "Data Error", MessageBoxButtons.OK, MessageBoxIcon.Warning);
}
}
private void OnSelectedSlopeSetChanged(object sender, EventArgs e)
{
if (clSlopeSets.SelectedIndex >= 0)
{
FitSet fs = (FitSet)clSlopeSets.SelectedItem;
PlotLikelihood("LogL \"" + fs.ToString() + "\"", fs.Likelihood);
}
}
private void btnCompute_Click(object sender, EventArgs e)
{
if (clSlopeSets.CheckedItems.Count < 1)
{
MessageBox.Show("At least one data set must be enabled.", "Input error", MessageBoxButtons.OK, MessageBoxIcon.Warning);
return;
}
NumericalTools.Likelihood[] lk = new NumericalTools.Likelihood[clSlopeSets.CheckedItems.Count];
int i;
for (i = 0; i < clSlopeSets.CheckedItems.Count; i++)
{
FitSet fs = (FitSet)clSlopeSets.CheckedItems[i];
if (fs.Likelihood == null)
try
{
MCSLikelihood.ProcessData(fs.Tracks, out fs.Likelihood);
}
catch (Exception x)
{
MessageBox.Show("Error computing likelihood for set \"" + fs.ToString() + "\":\r\n" + x.Message, "Computation Error", MessageBoxButtons.OK, MessageBoxIcon.Error);
return;
}
lk[i] = fs.Likelihood;
}
Likelihood = null;
txtResults.Text = "";
try
{
Likelihood = new NumericalTools.OneParamLogLikelihood(0.05, lk);
string t = Likelihood.Best(0).ToString("F2", System.Globalization.CultureInfo.InvariantCulture) + ";";
double cl = ((SySal.Processing.MCSLikelihood.Configuration)MCSLikelihood.Config).ConfidenceLevel;
double[] bounds = Likelihood.ConfidenceRegions(0, cl);
for (i = 0; i < bounds.Length; i += 2)
t += " [" + bounds[i].ToString("F2", System.Globalization.CultureInfo.InvariantCulture) + "," + bounds[i + 1].ToString("F2", System.Globalization.CultureInfo.InvariantCulture) + "]";
t += "; " + cl.ToString("F2", System.Globalization.CultureInfo.InvariantCulture);
txtResults.Text = t;
}
catch (Exception x)
{
MessageBox.Show("Error computing combined likelihood:\r\n" + x.Message, "Computation Error", MessageBoxButtons.OK, MessageBoxIcon.Error);
}
PlotLikelihood("LogL (combined)", Likelihood);
}
