HpfR(Input: ITimeSeries;
Period: IMsPeriod;
[Lambda: Integer = 100]): Variant;
Input. Smoothed variable.
Period. Period, at which the method is calculated
Lambda. Parameter is commanded by smoothness measure of variable.
The HpfR method smoothes variable using the Hodrick-Prescott filter and the R package.
The Hodrick-Prescott filter is a method of time series smoothing that is used to identify long-term trends of a time series. The method was first used to analyze business cycles in US post-war economy.
Integration with R must be set up in the repository to use this method. To set up integration, see the How to Set Up Integration with R? section.
Features of setting parameters:
Period. If the parameter is set to Null, the method is calculated at the entire time period
Lambda. Optional parameter. The default value is 100. The more is the parameter value, the more "smoothed" is the variable.
Executing the example requires that the repository contains a modeling container with the MS identifier. This container includes a model with the MODEL_D identifier that is calculated by the determinate equation method and contains at least one input variable.
Integration with R must be set up in the repository. To set up integration, see the How to Set Up Integration with R? section.
Add links to the Metabase and Ms system assemblies.
Sub UserHpf;
Var
Mb: IMetabase;
ModelSpace, ModelObj: IMetabaseObject;
Transf: IMsFormulaTransform;
Formula: IMsFormula;
Model: IMsModel;
Determ: IMsDeterministicTransform;
TransVar: IMsFormulaTransformVariable;
Slice: IMsFormulaTransformSlice;
TermInfo: IMsFormulaTermInfo;
Expr: IExpression;
Begin
// Get repository
Mb := MetabaseClass.Active;
// Get modeling container
ModelSpace := Mb.ItemById("MS").Bind;
// Get model
ModelObj := Mb.ItemByIdNamespace("MODEL_D", ModelSpace.Key).Edit;
Model := ModelObj As IMsModel;
// Get model calculation parameters
Transf := Model.Transform;
Formula := Transf.FormulaItem(0);
Determ := Formula.Method As IMsDeterministicTransform;
// Get the first input variable
TransVar := Transf.Inputs.Item(0);
Slice := TransVar.Slices.Item(0);
TermInfo := Transf.CreateTermInfo;
TermInfo.Slice := Slice;
// Set mode of passing variable into calculation
TermInfo.Type := MsFormulaTermType.Pointwise;
// Get model calculation expression
Expr := Determ.Expression;
Expr.References := "Ms";
// Set model calculation expression
Expr.AsString := "HpfR(" + TermInfo.TermInnerText + ", SetPeriod(" +
"""" + "01.01.2000" + """" + "," + """" + "01.01.2015" + """" + "), 120)";
// Check if the expression is correct
If Expr.Valid
// If the expression is set correctly, save the model
Then ModelObj.Save;
// If the expression is incorrect, display a message to the console window
Else Debug.WriteLine("Model is not saved: error in the formula");
End If;
End Sub UserHpf;
After executing the example the model will smooth data of the first input variable with the Hodrick-Prescott filter using the R package.
Expression 1:
HpfR({Chicago - population[t]}, Null, 130)
Result: data of the Chicago - population[t] time series is smoothed with the Hodrick-Prescott filter at the entire data period. Smoothing parameter equals to 130. Calculation is executed using the R package.
Use: it can be used in formulas of cross functional expression editor in any platform tool where it is available.
Expression 2:
HpfR(X1, setperiod("01.01.2000", "01.01.2015"))
Result: data of the X1 factor is smoothed with the Hodrick-Prescott filter at the specified data period using the R package.
Use: it can be used in model formulas of modeling container.
See also:
IModelling | The Hodrick-Prescott filter Method | Time Series Database: Calculator Modeling Container: The Hodrick-Prescott filter Model, Editing Regressor or Formula