public void Correlogram()
{
SelectAnalyzedVariable dlg = new SelectAnalyzedVariable(this.data.SeriesVariables);
dlg.ShowDialog();
if (dlg.DialogResult == DialogResult.OK)
{
CorrelogramForm co = new CorrelogramForm();
co.SetVariable(dlg.SelectedVariable);
co.ShowDialog();
if (co.DialogResult == DialogResult.OK)
{
double[] data = co.Data;
int lag = co.Lag;
bool whiteNoiseAcf = co.WhiteNoiseAcf;
CorrelogramResult tp = new CorrelogramResult();
tp.Title = "Correlogram ";
switch (co.Series)
{
case CorrelogramForm.CorrelogramSeries.Level:
tp.Title += "(Level)";
break;
case CorrelogramForm.CorrelogramSeries.FirstDifference:
tp.Title += "(1st diff)";
break;
case CorrelogramForm.CorrelogramSeries.SecondDifference:
tp.Title += "(2nd diff)";
break;
}
tp.Title += " : '" + dlg.SelectedVariable.VariableName + "'";
tp.SetData(data, lag, whiteNoiseAcf);
tp.DisplayResult();
tp.IsDrawn = true;
this.tabControlResult.AddTab(tp);
this.tabControlData.SelectedTab = this.tabPageResult;
this.tabControlResult.SelectedItem = tp;
}
}
}
public void NeuralNetworkAnalysis()
{
SelectAnalyzedVariable dlg = new SelectAnalyzedVariable(this.data.SeriesVariables);
dlg.ShowDialog();
if (dlg.DialogResult == DialogResult.OK)
{
NeuralNetworkAnalysisForm neural = new NeuralNetworkAnalysisForm();
neural.SetVariable(dlg.SelectedVariable);
neural.ShowDialog();
if (neural.DialogResult == DialogResult.Yes)
{
ANNSelectResultView select = new ANNSelectResultView();
select.ShowDialog();
if (select.DialogResult == DialogResult.OK)
{
ANNResultTabPage annTabPage = new ANNResultTabPage();
annTabPage.Title = "Neural Network: '" + dlg.SelectedVariable.VariableName + "'";
if (select.IsForecastedDataGridChecked)
{
annTabPage.SetData(this.data, dlg.SelectedVariable, neural.NetworkProperties, neural.Solution, neural.Forecast(select.ForecastingStep));
}
else
{
annTabPage.SetData(this.data, dlg.SelectedVariable, neural.NetworkProperties, neural.Solution, null);
}
annTabPage.IsAnnModelSummaryVisible = select.IsAnnModelSummaryChecked;
annTabPage.IsActualPredictedResidualDataGridVisible = select.IsActualPredictedResidualDataGridChecked;
annTabPage.IsForecastedDataGridVisible = select.IsForecastedDataGridChecked;
annTabPage.IsActualAndPredictedGraphVisible = select.IsActualAndPredictedGraphChecked;
annTabPage.IsActualAndForecastedGraphVisible = select.IsActualAndForecastedGraphChecked;
annTabPage.IsActualVsPredictedGraphVisible = select.IsActualVsPredictedGraphChecked;
annTabPage.IsResidualGraphVisible = select.IsResidualGraphChecked;
annTabPage.IsResidualVsActualGraphVisible = select.IsResidualVsActualGraphChecked;
annTabPage.IsResidualVsPredictedGraphVisible = select.IsResidualVsPredictedGraphChecked;
annTabPage.DrawControl();
annTabPage.IsDrawn = true;
this.tabControlResult.AddTab(annTabPage);
this.tabControlResult.SelectedItem = annTabPage;
this.tabControlData.SelectedTab = this.tabPageResult;
}
}
}
}
public void MovingAverage()
{
SelectAnalyzedVariable dlg = new SelectAnalyzedVariable(this.data.SeriesVariables);
dlg.ShowDialog();
if (dlg.DialogResult == DialogResult.OK)
{
MovingAverageForm maForm = new MovingAverageForm();
maForm.SetVariable(dlg.SelectedVariable);
maForm.ShowDialog();
if (maForm.DialogResult == DialogResult.Yes)
{
if (maForm.MaProperties.isSingleMA)
{
if (maForm.IsStoreSmoothed)
{
SeriesVariable var = new SeriesVariable(maForm.SmoothedName, "Smoothed Value of MA(" + maForm.MaProperties.orde +
") analysis of variable '" + dlg.SelectedVariable.VariableName + "'");
int lag = dlg.SelectedVariable.SeriesValues.Count - maForm.MaProperties.includedObservations;
var.InitializeItem(dlg.SelectedVariable.SeriesValues.Count);
for (int i = 0; i < lag; i++) var[i] = double.NaN;
for (int i = lag; i < lag + maForm.MaProperties.orde; i++) var[i] = double.NaN;
for (int i = lag + maForm.MaProperties.orde; i < maForm.MaProperties.includedObservations + lag; i++) var[i] = maForm.MaTable.singleSmoothed[i - lag];
this.data.SeriesVariables.Add(var);
this.seriesDataList.Refresh();
}
if (maForm.IsStorePredicted)
{
SeriesVariable var = new SeriesVariable(maForm.PredictedName, "Predicted Value of MA(" + maForm.MaProperties.orde +
") analysis of variable '" + dlg.SelectedVariable.VariableName + "'");
int lag = dlg.SelectedVariable.SeriesValues.Count - maForm.MaProperties.includedObservations;
var.InitializeItem(dlg.SelectedVariable.SeriesValues.Count);
for (int i = 0; i < lag; i++) var[i] = double.NaN;
for (int i = lag; i < lag + maForm.MaProperties.orde; i++) var[i] = double.NaN;
for (int i = lag + maForm.MaProperties.orde; i < maForm.MaProperties.includedObservations + lag; i++) var[i] = maForm.MaTable.predicted[i - lag];
this.data.SeriesVariables.Add(var);
this.seriesDataList.Refresh();
}
if (maForm.IsStoreResidual)
{
SeriesVariable var = new SeriesVariable(maForm.ResidualName, "Residual Value of MA(" + maForm.MaProperties.orde +
") analysis of variable '" + dlg.SelectedVariable.VariableName + "'");
int lag = dlg.SelectedVariable.SeriesValues.Count - maForm.MaProperties.includedObservations;
var.InitializeItem(dlg.SelectedVariable.SeriesValues.Count);
for (int i = 0; i < lag; i++) var[i] = double.NaN;
for (int i = lag; i < lag + maForm.MaProperties.orde; i++) var[i] = double.NaN;
for (int i = lag + maForm.MaProperties.orde; i < maForm.MaProperties.includedObservations + lag; i++) var[i] = maForm.MaTable.residual[i - lag];
this.data.SeriesVariables.Add(var);
this.seriesDataList.Refresh();
}
}
else
{
if (maForm.IsStoreSmoothed)
{
SeriesVariable var = new SeriesVariable(maForm.SmoothedName, "Smoothed Value of MA(" + maForm.MaProperties.orde +
"X" + maForm.MaProperties.orde + ") analysis of variable '" + dlg.SelectedVariable.VariableName + "'");
int lag = dlg.SelectedVariable.SeriesValues.Count - maForm.MaProperties.includedObservations;
var.InitializeItem(dlg.SelectedVariable.SeriesValues.Count);
for (int i = 0; i < lag; i++) var[i] = double.NaN;
for (int i = lag; i < lag + (2 * (maForm.MaProperties.orde - 1)); i++) var[i] = double.NaN;
for (int i = lag + (2 * (maForm.MaProperties.orde - 1)); i < maForm.MaProperties.includedObservations + lag; i++) var[i] = maForm.MaTable.doubleSmoothed[i - lag];
this.data.SeriesVariables.Add(var);
this.seriesDataList.Refresh();
}
if (maForm.IsStorePredicted)
{
SeriesVariable var = new SeriesVariable(maForm.PredictedName, "Predicted Value of MA(" + maForm.MaProperties.orde +
"X" + maForm.MaProperties.orde + ") analysis of variable '" + dlg.SelectedVariable.VariableName + "'");
int lag = dlg.SelectedVariable.SeriesValues.Count - maForm.MaProperties.includedObservations;
var.InitializeItem(dlg.SelectedVariable.SeriesValues.Count);
for (int i = 0; i < lag; i++) var[i] = double.NaN;
for (int i = lag; i < lag + (2 * (maForm.MaProperties.orde - 1)); i++) var[i] = double.NaN;
for (int i = lag + (2 * (maForm.MaProperties.orde - 1)); i < maForm.MaProperties.includedObservations + lag; i++) var[i] = maForm.MaTable.predicted[i - lag];
this.data.SeriesVariables.Add(var);
this.seriesDataList.Refresh();
}
if (maForm.IsStoreResidual)
{
SeriesVariable var = new SeriesVariable(maForm.ResidualName, "Residual Value of MA(" + maForm.MaProperties.orde +
"," + maForm.MaProperties.orde + ") analysis of variable '" + dlg.SelectedVariable.VariableName + "'");
int lag = dlg.SelectedVariable.SeriesValues.Count - maForm.MaProperties.includedObservations;
var.InitializeItem(dlg.SelectedVariable.SeriesValues.Count);
for (int i = 0; i < lag; i++) var[i] = double.NaN;
for (int i = lag; i < lag + (2 * (maForm.MaProperties.orde - 1)); i++) var[i] = double.NaN;
for (int i = lag + (2 * (maForm.MaProperties.orde - 1)); i < maForm.MaProperties.includedObservations + lag; i++) var[i] = maForm.MaTable.residual[i - lag];
this.data.SeriesVariables.Add(var);
this.seriesDataList.Refresh();
}
}
MAResultTabPage maTabPage = new MAResultTabPage();
maTabPage.Title = "Moving Average : '" + dlg.SelectedVariable.VariableName + "'";
if (maForm.IsForecastedDataGridChecked)
{
if (maForm.MaProperties.isSingleMA)
{
maTabPage.SetData(this.data, dlg.SelectedVariable, maForm.MaProperties,
maForm.MaTable, maForm.SmaForecast(maForm.ForecastingStep));
}
else
{
maTabPage.SetData(this.data, dlg.SelectedVariable, maForm.MaProperties,
maForm.MaTable, maForm.DmaForecast(maForm.ForecastingStep));
}
}
else
{
maTabPage.SetData(this.data, dlg.SelectedVariable, maForm.MaProperties,
maForm.MaTable, null);
}
maTabPage.IsMaModelSummaryVisible = maForm.IsMaModelSummaryChecked;
maTabPage.IsSmoothingVisible = maForm.IsSmoothingChecked;
maTabPage.IsMovingAverageDataGridVisible = maForm.IsMovingAverageDataGridChecked;
maTabPage.IsForecastedDataGridVisible = maForm.IsForecastedDataGridChecked;
maTabPage.IsActualAndPredictedGraphVisible = maForm.IsActualAndPredictedGraphChecked;
maTabPage.IsActualAndPredictedGraphVisible = maForm.IsActualAndPredictedGraphChecked;
maTabPage.IsActualAndSmoothedGraphVisible = maForm.IsActualAndSmoothedGraphChecked;
maTabPage.IsActualAndForecastedGraphVisible = maForm.IsActualAndForecastedGraphChecked;
maTabPage.IsActualVsPredictedGraphVisible = maForm.IsActualVsPredictedGraphChecked;
maTabPage.IsResidualGraphVisible = maForm.IsResidualGraphChecked;
maTabPage.IsResidualVsActualGraphVisible = maForm.IsResidualVsActualGraphChecked;
maTabPage.IsResidualVsPredictedGraphVisible = maForm.IsResidualVsPredictedGraphChecked;
maTabPage.DrawControl();
maTabPage.IsDrawn = true;
this.tabControlResult.AddTab(maTabPage);
this.tabControlResult.SelectedItem = maTabPage;
this.tabControlData.SelectedTab = this.tabPageResult;
}
}
}
public void ExponentialSmoothing()
{
SelectAnalyzedVariable dlg = new SelectAnalyzedVariable(this.data.SeriesVariables);
dlg.ShowDialog();
if (dlg.DialogResult == DialogResult.OK)
{
ExponentialSmoothingForm esForm = new ExponentialSmoothingForm();
esForm.SetVariable(dlg.SelectedVariable);
esForm.ShowDialog();
if (esForm.DialogResult == DialogResult.Yes)
{
if (esForm.IsStoreSmoothed)
{
SeriesVariable var = new SeriesVariable(esForm.SmoothedName, "Smoothed Value of exponential smoothing of variable '"
+ dlg.SelectedVariable.VariableName + "'");
int lag = dlg.SelectedVariable.SeriesValues.Count - esForm.EsTable.predicted.Length;
var.InitializeItem(dlg.SelectedVariable.SeriesValues.Count);
for (int i = 0; i < lag; i++) var[i] = double.NaN;
for (int i = 0; i < esForm.EsTable.smoothed.Length; i++) var[i + lag] = esForm.EsTable.smoothed[i];
this.data.SeriesVariables.Add(var);
this.seriesDataList.Refresh();
}
if (esForm.IsStorePredicted)
{
SeriesVariable var = new SeriesVariable(esForm.PredictedName, "Predicted Value of exponential smoothing of variable '"
+ dlg.SelectedVariable.VariableName + "'");
int lag = dlg.SelectedVariable.SeriesValues.Count - esForm.EsTable.predicted.Length;
var.InitializeItem(dlg.SelectedVariable.SeriesValues.Count);
for (int i = 0; i < lag; i++) var[i] = double.NaN;
for (int i = 0; i < esForm.EsTable.predicted.Length; i++) var[i + lag] = esForm.EsTable.predicted[i];
this.data.SeriesVariables.Add(var);
this.seriesDataList.Refresh();
}
if (esForm.IsStoreResidual)
{
SeriesVariable var = new SeriesVariable(esForm.ResidualName, "Residual Value of exponential smoothing of variable '"
+ dlg.SelectedVariable.VariableName + "'");
int lag = dlg.SelectedVariable.SeriesValues.Count - esForm.EsTable.residual.Length;
var.InitializeItem(dlg.SelectedVariable.SeriesValues.Count);
for (int i = 0; i < lag; i++) var[i] = double.NaN;
for (int i = 0; i < esForm.EsTable.residual.Length; i++) var[i + lag] = esForm.EsTable.residual[i];
this.data.SeriesVariables.Add(var);
this.seriesDataList.Refresh();
}
ESResultTabPage esTabPage = new ESResultTabPage();
if (esForm.EsProperties.initialModel == 1)
esTabPage.Title = "Single ES : '" + dlg.SelectedVariable.VariableName + "'";
if (esForm.EsProperties.initialModel == 2)
esTabPage.Title = "Double ES (Brown) : '" + dlg.SelectedVariable.VariableName + "'";
if (esForm.EsProperties.initialModel == 3)
esTabPage.Title = "Double ES (Holt) : '" + dlg.SelectedVariable.VariableName + "'";
if (esForm.EsProperties.initialModel == 4)
esTabPage.Title = "Triple ES (Winter) : '" + dlg.SelectedVariable.VariableName + "'";
if (esForm.IsForecastedDataGridChecked)
{
if (esForm.EsProperties.initialModel == 1)
{
esTabPage.SetData(this.data, dlg.SelectedVariable, esForm.EsProperties,
esForm.EsTable, esForm.SesForecast(esForm.ForecastingStep));
}
if (esForm.EsProperties.initialModel == 2)
{
esTabPage.SetData(this.data, dlg.SelectedVariable, esForm.EsProperties,
esForm.EsTable, esForm.BrownForecast(esForm.ForecastingStep));
}
if (esForm.EsProperties.initialModel == 3)
{
esTabPage.SetData(this.data, dlg.SelectedVariable, esForm.EsProperties,
esForm.EsTable, esForm.HoltForecast(esForm.ForecastingStep));
}
if (esForm.EsProperties.initialModel == 4)
{
esTabPage.SetData(this.data, dlg.SelectedVariable, esForm.EsProperties,
esForm.EsTable, esForm.WinterForecast(esForm.ForecastingStep));
}
}
else
{
esTabPage.SetData(this.data, dlg.SelectedVariable, esForm.EsProperties,
esForm.EsTable, null);
}
esTabPage.IsEsModelSummaryVisible = esForm.IsEsModelSummaryChecked;
esTabPage.IsExponentialSmoothingDataGridVisible = esForm.IsExponentialSmoothingDataGridChecked;
esTabPage.IsSmoothingVisible = esForm.IsSmoothingChecked;
esTabPage.IsTrendVisible = esForm.IsTrendChecked;
esTabPage.IsSeasonalVisible = esForm.IsSeasonalChecked;
esTabPage.IsForecastedDataGridVisible = esForm.IsForecastedDataGridChecked;
esTabPage.IsActualAndPredictedGraphVisible = esForm.IsActualAndPredictedGraphChecked;
esTabPage.IsActualAndSmoothedGraphVisible = esForm.IsActualAndSmoothedGraphChecked;
esTabPage.IsActualAndForecastedGraphVisible = esForm.IsActualAndForecastedGraphChecked;
esTabPage.IsActualVsPredictedGraphVisible = esForm.IsActualVsPredictedGraphChecked;
esTabPage.IsResidualGraphVisible = esForm.IsResidualGraphChecked;
esTabPage.IsResidualVsActualGraphVisible = esForm.IsResidualVsActualGraphChecked;
esTabPage.IsResidualVsPredictedGraphVisible = esForm.IsResidualVsPredictedGraphChecked;
esTabPage.DrawControl();
esTabPage.IsDrawn = true;
this.tabControlResult.AddTab(esTabPage);
this.tabControlResult.SelectedItem = esTabPage;
this.tabControlData.SelectedTab = this.tabPageResult;
}
}
}
public void Decomposition()
{
SelectAnalyzedVariable dlg = new SelectAnalyzedVariable(this.data.SeriesVariables);
dlg.ShowDialog();
if (dlg.DialogResult == DialogResult.OK)
{
DecompositionForm decForm = new DecompositionForm();
decForm.SetVariable(dlg.SelectedVariable);
decForm.ShowDialog();
if (decForm.DialogResult == DialogResult.Yes)
{
if (decForm.IsStoreTrend)
{
SeriesVariable var = new SeriesVariable(decForm.TrendName, "Trend Value of Decomposition Classic analysis of variable '"
+ dlg.SelectedVariable.VariableName + "'");
int lag = dlg.SelectedVariable.SeriesValues.Count - decForm.DecTable.trend.Length;
var.InitializeItem(dlg.SelectedVariable.SeriesValues.Count);
for (int i = 0; i < lag; i++) var[i] = double.NaN;
for (int i = 0; i < decForm.DecTable.trend.Length; i++) var[i + lag] = decForm.DecTable.trend[i];
this.data.SeriesVariables.Add(var);
this.seriesDataList.Refresh();
}
if (decForm.IsStoreDetrend)
{
SeriesVariable var = new SeriesVariable(decForm.DetrendName, "Detrended Value of Decomposition Classic analysis of variable '"
+ dlg.SelectedVariable.VariableName + "'");
int lag = dlg.SelectedVariable.SeriesValues.Count - decForm.DecTable.detrend.Length;
var.InitializeItem(dlg.SelectedVariable.SeriesValues.Count);
for (int i = 0; i < lag; i++) var[i] = double.NaN;
for (int i = 0; i < decForm.DecTable.detrend.Length; i++) var[i + lag] = decForm.DecTable.detrend[i];
this.data.SeriesVariables.Add(var);
this.seriesDataList.Refresh();
}
if (decForm.IsStoreDeseasonal)
{
SeriesVariable var = new SeriesVariable(decForm.DeseasonalName, "Seasonally Adj. Value of Decomposition Classic analysis of variable '"
+ dlg.SelectedVariable.VariableName + "'");
int lag = dlg.SelectedVariable.SeriesValues.Count - decForm.DecTable.deseasonal.Length;
var.InitializeItem(dlg.SelectedVariable.SeriesValues.Count);
for (int i = 0; i < lag; i++) var[i] = double.NaN;
for (int i = 0; i < decForm.DecTable.deseasonal.Length; i++) var[i + lag] = decForm.DecTable.deseasonal[i];
this.data.SeriesVariables.Add(var);
this.seriesDataList.Refresh();
}
if (decForm.IsStorePredicted)
{
SeriesVariable var = new SeriesVariable(decForm.PredictedName, "Predicted Value of Decomposition Classic analysis of variable '"
+ dlg.SelectedVariable.VariableName + "'");
int lag = dlg.SelectedVariable.SeriesValues.Count - decForm.DecTable.predicted.Length;
var.InitializeItem(dlg.SelectedVariable.SeriesValues.Count);
for (int i = 0; i < lag; i++) var[i] = double.NaN;
for (int i = 0; i < decForm.DecTable.predicted.Length; i++) var[i + lag] = decForm.DecTable.predicted[i];
this.data.SeriesVariables.Add(var);
this.seriesDataList.Refresh();
}
if (decForm.IsStoreResidual)
{
SeriesVariable var = new SeriesVariable(decForm.ResidualName, "Residual Value of Decomposition Classic analysis of variable '"
+ dlg.SelectedVariable.VariableName + "'");
int lag = dlg.SelectedVariable.SeriesValues.Count - decForm.DecTable.residual.Length;
var.InitializeItem(dlg.SelectedVariable.SeriesValues.Count);
for (int i = 0; i < lag; i++) var[i] = double.NaN;
for (int i = 0; i < decForm.DecTable.residual.Length; i++) var[i + lag] = decForm.DecTable.residual[i];
this.data.SeriesVariables.Add(var);
this.seriesDataList.Refresh();
}
DECResultTabPage decTabPage = new DECResultTabPage();
decTabPage.Title = "Decomposition : '" + dlg.SelectedVariable.VariableName + "'";
if (decForm.IsForecastedDataGridChecked)
{
decTabPage.SetData(this.data, dlg.SelectedVariable, decForm.DecProperties,
decForm.DecTable, decForm.Forecast(decForm.ForecastingStep));
}
else
{
decTabPage.SetData(this.data, dlg.SelectedVariable, decForm.DecProperties,
decForm.DecTable, null);
}
decTabPage.IsDecModelSummaryVisible = decForm.IsDecModelSummaryChecked;
decTabPage.IsDecompositionDataGridVisible = decForm.IsDecompositionDataGridChecked;
decTabPage.IsTrendVisible = decForm.IsTrendChecked;
decTabPage.IsDetrendVisible = decForm.IsDetrendChecked;
decTabPage.IsSeasonalVisible = decForm.IsSeasonalChecked;
decTabPage.IsDeseasonalVisible = decForm.IsDeseasonalChecked;
decTabPage.IsForecastedDataGridVisible = decForm.IsForecastedDataGridChecked;
decTabPage.IsActualPredictedAndTrendGraphVisible = decForm.IsActualPredictedAndTrendGraphChecked;
decTabPage.IsActualAndForecastedGraphVisible = decForm.IsActualAndForecastedGraphChecked;
decTabPage.IsActualVsPredictedGraphVisible = decForm.IsActualVsPredictedGraphChecked;
decTabPage.IsResidualGraphVisible = decForm.IsResidualGraphChecked;
decTabPage.IsResidualVsActualGraphVisible = decForm.IsResidualVsActualGraphChecked;
decTabPage.IsResidualVsPredictedGraphVisible = decForm.IsResidualVsPredictedGraphChecked;
decTabPage.IsDetrendGraphVisible = decForm.IsDetrendGraphChecked;
decTabPage.IsDeseasonalGraphVisible = decForm.IsDeseasonalGraphChecked;
decTabPage.DrawControl();
decTabPage.IsDrawn = true;
this.tabControlResult.AddTab(decTabPage);
this.tabControlResult.SelectedItem = decTabPage;
this.tabControlData.SelectedTab = this.tabPageResult;
}
}
}
public void TrendAnalysis()
{
SelectAnalyzedVariable dlg = new SelectAnalyzedVariable(this.data.SeriesVariables);
dlg.ShowDialog();
if (dlg.DialogResult == DialogResult.OK)
{
TrendAnalysisForm trendForm = new TrendAnalysisForm();
trendForm.SetVariable(dlg.SelectedVariable);
trendForm.ShowDialog();
if (trendForm.DialogResult == DialogResult.OK)
{
if (trendForm.IsStorePredicted)
{
SeriesVariable var = new SeriesVariable(trendForm.PredictedName, "Predicted Value of trend analysis of variable '"
+ dlg.SelectedVariable.VariableName + "'");
int lag = dlg.SelectedVariable.SeriesValues.Count - trendForm.Predicted.Length;
var.InitializeItem(dlg.SelectedVariable.SeriesValues.Count);
for (int i = 0; i < lag; i++) var[i] = double.NaN;
for (int i = 0; i < trendForm.Predicted.Length; i++) var[i + lag] = trendForm.Predicted[i];
try
{
this.data.SeriesVariables.Add(var);
}
catch (DuplicateVariableException)
{
MessageBox.Show("Variable '" + var.VariableName + "' already exist", "Duplicate Variable Name", MessageBoxButtons.OK, MessageBoxIcon.Error);
}
this.seriesDataList.Refresh();
}
if (trendForm.IsStoreResidual)
{
SeriesVariable var = new SeriesVariable(trendForm.ResidualName, "Residual Value of trend analysis of variable '"
+ dlg.SelectedVariable.VariableName + "'");
int lag = dlg.SelectedVariable.SeriesValues.Count - trendForm.Residual.Length;
var.InitializeItem(dlg.SelectedVariable.SeriesValues.Count);
for (int i = 0; i < lag; i++) var[i] = double.NaN;
for (int i = 0; i < trendForm.Residual.Length; i++) var[i + lag] = trendForm.Residual[i];
try
{
this.data.SeriesVariables.Add(var);
}
catch (DuplicateVariableException)
{
MessageBox.Show("Variable '" + var.VariableName + "' already exist", "Duplicate Variable Name", MessageBoxButtons.OK, MessageBoxIcon.Error);
}
this.seriesDataList.Refresh();
}
TrendAnalysisResultTabPage trendTabPage = new TrendAnalysisResultTabPage();
trendTabPage.Title = "Trend Analysis : '" + dlg.SelectedVariable.VariableName + "'";
if (trendForm.IsForecastedDataGridChecked)
{
trendTabPage.SetData(this.data, dlg.SelectedVariable, trendForm.TrendProperties, trendForm.Predicted,
trendForm.Forecast(trendForm.ForecastingStep), trendForm.Residual);
}
else
{
trendTabPage.SetData(this.data, dlg.SelectedVariable, trendForm.TrendProperties,
trendForm.Predicted, null, trendForm.Residual);
}
trendTabPage.IsTrendAnalysisModelSummaryVisible = trendForm.IsTrendAnalysisModelSummaryChecked;
trendTabPage.IsActualPredictedResidualDataGridVisible = trendForm.IsActualPredictedResidualDataGridChecked;
trendTabPage.IsForecastedDataGridVisible = trendForm.IsForecastedDataGridChecked;
trendTabPage.IsActualAndPredictedGraphVisible = trendForm.IsActualAndPredictedGraphChecked;
trendTabPage.IsActualAndForecastedGraphVisible = trendForm.IsActualAndForecastedGraphChecked;
trendTabPage.IsActualVsPredictedGraphVisible = trendForm.IsActualVsPredictedGraphChecked;
trendTabPage.IsResidualGraphVisible = trendForm.IsResidualGraphChecked;
trendTabPage.IsResidualVsActualGraphVisible = trendForm.IsResidualVsActualGraphChecked;
trendTabPage.IsResidualVsPredictedGraphVisible = trendForm.IsResidualVsPredictedGraphChecked;
trendTabPage.DrawControl();
trendTabPage.IsDrawn = true;
this.tabControlResult.AddTab(trendTabPage);
this.tabControlResult.SelectedItem = trendTabPage;
this.tabControlData.SelectedTab = this.tabPageResult;
}
}
}