ISmUnivariateSpectrumAnalysis.PaddingType

Syntax

Description

The PaddingType property determines series padding or truncating method.

Comments

If the length of source series is padded with zeroes, that is, PaddingType = SAPaddingType.PadByZeros, the number of zeroes is specified in the ISmUnivariateSpectrumAnalysis.ZerosCount property.

Example

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

// Data output procedure
Public Sub Print(Data: Array Of Double);
Var
    i: Integer;
    d: Double;
Begin
    For i := 0 To Data.Length - 1 Do
        If Double.IsNan(Data[i]) Then
            Debug.WriteLine(i.ToString + ": ---empty---");
        Else d := Data[i];
            Debug.WriteLine(i.ToString + ": " + d.ToString);
        End If;
    End For;
End Sub Print;

Sub UserProc;
Var
    sp: SmUnivariateSpectrumAnalysis;
    d0: Double;
    res, i: Integer;
    s: Array[40] Of Double;
Begin
    // Initial data
    s[0] := 0.599; s[10] := 0.586;
    s[1] := 0.586; s[11] := 0.578;
    s[2] := 0.556; s[12] := 0.568;
    s[3] := 0.549; s[13] := 0.537;
    s[4] := 0.531; s[14] := 0.506;
    s[5] := 0.528; s[15] := 0.512;
    s[6] := 0.497; s[16] := 0.475;
    s[7] := 0.444; s[17] := 0.444;
    s[8] := 0.401; s[18] := 0.410;
    s[9] := 0.309; s[19] := 0.364;
    s[20] := 0.627; s[30] := 0.599;
    s[21] := 0.562; s[31] := 0.543;
    s[22] := 0.540; s[32] := 0.519;
    s[23] := 0.537; s[33] := 0.512;
    s[24] := 0.500; s[34] := Double.Nan;
    s[25] := 0.500; s[35] := 0.494;
    s[26] := 0.475; s[36] := 0.469;
    s[27] := 0.451; s[37] := 0.469;
    s[28] := 0.451; s[38] := Double.Nan;
    s[29] := 0.444; s[39] := Double.Nan;
    // Create a method
    sp := New SmUnivariateSpectrumAnalysis.Create;
    // Initial data series
    sp.Serie.Value := s;
    // Sample period
    sp.ModelPeriod.FirstPoint := 1;
    sp.ModelPeriod.LastPoint := 40;
    // Share of boundary data
    sp.DataProportion := 0.5;
    // Lag window
    sp.LagWindow := LagWindowType.Bartlett;
    // Type of initial adjustment
    sp.InitCorrection := InitCorrectionType.MeanCorrection;
    // Truncation point
    sp.CutOffPoint := 1;
    // Method of series padding or truncating
    sp.PaddingType := SAPaddingType.PadByZeros;
    sp.ZerosCount := 2;
    // Use fast Fourier transform
    sp.UseFastFourierTransform := True;
    // Order of fast Fourier transform
    sp.FastFourierTransformOrder := 3;
    // Method of missing data treatment
    sp.MissingData.Method := MissingDataMethod.SampleAverage;
    // Run calculation
    res := sp.Execute;
    If res <> 0 Then
        Debug.WriteLine(sp.Errors);
    Else
        // Output results
        For i := 0 To sp.WarningsCount - 1 Do
            Debug.WriteLine(sp.Warnings[i]);
        End For;
        d0 := sp.SpectrumStatistics.LCL;
        Debug.WriteLine("Lower confidence bound: " + d0.ToString);
        d0 := sp.SpectrumStatistics.UCL;
        Debug.WriteLine("Upper confidence bound: " + d0.ToString);
        d0 := sp.SpectrumStatistics.BW;
        Debug.WriteLine("Passband: " + d0.ToString);
        d0 := sp.SpectrumStatistics.DF;
        Debug.WriteLine("Number of degrees of freedom: " + d0.ToString);
        Debug.WriteLine("Periodogram");
        Print(sp.Periodogramm);
        Debug.WriteLine("Spectral density");
        Print(sp.Spectrum);
        Debug.WriteLine("Spectral frequency");
        Print(sp.SpectrumFrequency);
        Debug.WriteLine("Spectral periods");
        Print(sp.SpectrumPeriod);
        Debug.WriteLine("Weights");
        Print(sp.Weights);
    End If;
End Sub UserProc;

After executing the example, spectral analysis is calculated. Calculation results are displayed to the console window.