ISummaryStatistics.AdjR2

Fore Syntax

AdjR2: Double;

Fore.NET Syntax

AdjR2: double;

Description

The AdjR2 property returns adjusted determination coefficient.

Comments

A model with a greater criterion value is preferable.

Fore Example

To execute the example, add a link to the Stat system assembly.

Sub UserProc;
Var
    LinearR: SmLinearRegress;
    can, fr: Array[9] Of Double;
    res, i: Integer;
    Con: IIntercept;
    ss: ISummaryStatistics;
Begin
    LinearR := New SmLinearRegress.Create;
    For i := 0 To 8 Do
        can[i] := 1230 + i * 302;
        fr[i] := 579.5 + i * 9.4;
    End For;
    // Set model parameters
    LinearR.Explained.Value := can;
    LinearR.Explanatories.Add.Value := fr;
    Con := LinearR.ModelCoefficients.Intercept;
    con.Mode := InterceptMode.ManualEstimate;
    con.Estimate := 35.7;
    // Run calculation
    res := LinearR.Execute;
    ss := LinearR.SummaryStatistics;
    Debug.Write("Adjusted determination coefficient: ");
    Debug.WriteLine(ss.AdjR2);
    Debug.Write("Adjusted determination coefficient (uncentered): ");
    Debug.WriteLine(ss.AdjR2_2);
    Debug.Write("Akaike information criterion: ");
    Debug.WriteLine(ss.AIC);
    Debug.Write("Logarithmic average of the likelihood function: ");
    Debug.WriteLine(ss.AvgLogL);
End Sub UserProc;

After executing the example the console window displays summary statistics:

Adjusted determination coefficient.
Adjusted determination coefficient (uncentered).
Akaike information criterion.
Mean of log-likelihood function.

Fore.NET Example

The requirements and result of the Fore.NET example execution match with those in the Fore example.

Imports Prognoz.Platform.Interop.Stat;
…
Public Shared Sub Main(Params: StartParams);
Var
    LinearR: SmLinearRegress;
    can, fr: Array[9] Of Double;
    res, i: Integer;
    Con: IIntercept;
    ss: ISummaryStatistics;
Begin
    LinearR := New SmLinearRegress.Create();
    For i := 0 To 8 Do
        can[i] := 1230 + i * 302;
        fr[i] := 579.5 + i * 9.4;
    End For;
    // Set model parameters
    LinearR.Explained.Value := can;
    LinearR.Explanatories.Add().Value := fr;
    Con := LinearR.ModelCoefficients.Intercept;
    con.Mode := InterceptMode.imManualEstimate;
    con.Estimate := 35.7;
    // Run calculation
    res := LinearR.Execute();
    ss := LinearR.SummaryStatistics;
    System.Diagnostics.Debug.Write("Adjusted determination coefficient: ");
    System.Diagnostics.Debug.WriteLine(ss.AdjR2);
    System.Diagnostics.Debug.Write("Adjusted determination coefficient (uncentered): ");
    System.Diagnostics.Debug.WriteLine(ss.AdjR2_2);
    System.Diagnostics.Debug.Write("Akaike information criterion: ");
    System.Diagnostics.Debug.WriteLine(ss.AIC);
    System.Diagnostics.Debug.Write("Logarithmic average of the likelihood function: ");
    System.Diagnostics.Debug.WriteLine(ss.AvgLogL);
End Sub;