private void RecalculateInternalDataset()
{
if (sharedFixedVariables == null)
{
return;
}
var factorValues = new List <string>(variableValues);
var variables = sharedFixedVariables.VariableNames.ToList();
var values = new List <IList>();
foreach (var varName in variables)
{
if (varName == FreeVariable)
{
values.Add(factorValues);
}
else if (sharedFixedVariables.VariableHasType <double>(varName))
{
values.Add(Enumerable.Repeat(sharedFixedVariables.GetDoubleValue(varName, 0), factorValues.Count).ToList());
}
else if (sharedFixedVariables.VariableHasType <string>(varName))
{
values.Add(Enumerable.Repeat(sharedFixedVariables.GetStringValue(varName, 0), factorValues.Count).ToList());
}
}
internalDataset = new ModifiableDataset(variables, values);
}
private void RecalculateInternalDataset()
{
if (sharedFixedVariables == null)
{
return;
}
// we expand the range in order to get nice tick intervals on the x axis
double xmin, xmax, xinterval;
//guard if only one distinct value is present
if (trainingMin.IsAlmost(trainingMax))
{
ChartUtil.CalculateAxisInterval(trainingMin - 0.5, trainingMin + 0.5, XAxisTicks, out xmin, out xmax, out xinterval);
}
else
{
ChartUtil.CalculateAxisInterval(trainingMin, trainingMax, XAxisTicks, out xmin, out xmax, out xinterval);
}
if (FixedXAxisMin.HasValue)
{
xmin = FixedXAxisMin.Value;
}
if (FixedXAxisMax.HasValue)
{
xmax = FixedXAxisMax.Value;
}
double step = (xmax - xmin) / drawingSteps;
var xvalues = new List <double>();
for (int i = 0; i < drawingSteps; i++)
{
xvalues.Add(xmin + i * step);
}
if (sharedFixedVariables == null)
{
return;
}
var variables = sharedFixedVariables.VariableNames.ToList();
var values = new List <IList>();
foreach (var varName in variables)
{
if (varName == FreeVariable)
{
values.Add(xvalues);
}
else if (sharedFixedVariables.VariableHasType <double>(varName))
{
values.Add(Enumerable.Repeat(sharedFixedVariables.GetDoubleValue(varName, 0), xvalues.Count).ToList());
}
else if (sharedFixedVariables.VariableHasType <string>(varName))
{
values.Add(Enumerable.Repeat(sharedFixedVariables.GetStringValue(varName, 0), xvalues.Count).ToList());
}
}
internalDataset = new ModifiableDataset(variables, values);
}