public void EhView_Changed(string fromValue, string toValue)
{
int from;
int to = int.MaxValue;
if (!int.TryParse(fromValue, out from))
Current.Gui.ErrorMessageBox("PositiveIntegerRange 'From' is not a integer number");
if (toValue != null && toValue.Trim().Length > 0)
{
if (!int.TryParse(toValue, out to))
Current.Gui.ErrorMessageBox("PositiveIntegerRange 'To' is not a integer number");
}
try
{
if (to != int.MaxValue)
_tempDoc = PositiveIntegerRange.NewFromFirstAndLast(from, to);
else
_tempDoc = PositiveIntegerRange.NewFromFirstToInfinity(from);
}
catch (Exception ex)
{
Current.Gui.ErrorMessageBox(ex.Message);
}
}
public PlottingRangeController(PositiveIntegerRange doc)
{
_doc = doc;
_tempDoc = (PositiveIntegerRange)doc.Clone();
}
public void SetRowRange(PositiveIntegerRange range)
{
this._rangeOfRows.CopyFrom(range);
OnChanged();
}
/// <summary>
/// Sets the range of rows that are used for the regression.
/// </summary>
/// <param name="firstIndex">First row to be used.</param>
/// <param name="count">Number of rows to be used [from firstIndex to (firstIndex+count-1)].</param>
public void SetRowRange(int firstIndex, int count)
{
this._rangeOfRows = PositiveIntegerRange.NewFromFirstAndCount(firstIndex,count);
OnChanged();
}
public FitElement(INumericColumn xColumn, INumericColumn yColumn, int start, int count)
{
_independentVariables = new NumericColumnProxy[1];
_independentVariables[0] = new NumericColumnProxy(xColumn);
_dependentVariables = new NumericColumnProxy[1];
_dependentVariables[0] = new NumericColumnProxy(yColumn);
_errorEvaluation = new IVarianceScaling[1];
_errorEvaluation[0] = new ConstantVarianceScaling();
_rangeOfRows = PositiveIntegerRange.NewFromFirstAndCount(start,count);
}
public FitElement(FitElement from)
{
this._fitFunction = from._fitFunction;
if (_fitFunction is ICloneable)
this._fitFunction = (IFitFunction)((ICloneable)from.FitFunction).Clone();
_rangeOfRows = PositiveIntegerRange.NewFromFirstAndCount(from._rangeOfRows.First, from._rangeOfRows.Count);
_independentVariables = new NumericColumnProxy[from._independentVariables.Length];
for (int i = 0; i < _independentVariables.Length; ++i)
{
if(from._independentVariables[i]!=null)
_independentVariables[i] = (NumericColumnProxy)from._independentVariables[i].Clone();
}
_dependentVariables = new NumericColumnProxy[from._dependentVariables.Length];
for (int i = 0; i < _dependentVariables.Length; ++i)
{
if (from._dependentVariables[i] != null)
_dependentVariables[i] = (NumericColumnProxy)from._dependentVariables[i].Clone();
}
_errorEvaluation = new IVarianceScaling[from._errorEvaluation.Length];
for (int i = 0; i < _errorEvaluation.Length; ++i)
{
if (from._errorEvaluation[i] != null)
_errorEvaluation[i] = (IVarianceScaling)from._errorEvaluation[i].Clone();
}
_parameterNames = (string[])from._parameterNames.Clone();
_parameterNameStart = from._parameterNameStart;
}
public FitElement()
{
_independentVariables = new NumericColumnProxy[0];
_dependentVariables = new NumericColumnProxy[0];
_errorEvaluation = new IVarianceScaling[0];
_rangeOfRows = PositiveIntegerRange.NewFromFirstAndCount(0,int.MaxValue);
}
