The SPECTRA Procedure |

This example uses simulated data to show cross-spectral analysis for two variables X and Y. X is generated by an AR(1) process; Y is generated as white noise plus an input from X lagged 2 periods. All output options are specified in the PROC SPECTRA statement. PROC CONTENTS shows the contents of the OUT= data set.

data a; xl = 0; xll = 0; do i = - 10 to 100; x = .4 * xl + rannor(123); y = .5 * xll + rannor(123); if i > 0 then output; xll = xl; xl = x; end; run;

proc spectra data=a out=b cross coef a k p ph s; var x y; weights 1 1.5 2 4 8 9 8 4 2 1.5 1; run; proc contents data=b position; run;

The PROC CONTENTS report for the output data set B is shown in Output 25.2.1.

Alphabetic List of Variables and Attributes | ||||
---|---|---|---|---|

# | Variable | Type | Len | Label |

16 | A_01_02 | Num | 8 | Amplitude of x by y |

3 | COS_01 | Num | 8 | Cosine Transform of x |

5 | COS_02 | Num | 8 | Cosine Transform of y |

13 | CS_01_02 | Num | 8 | Cospectra of x by y |

1 | FREQ | Num | 8 | Frequency from 0 to PI |

12 | IP_01_02 | Num | 8 | Imag Periodogram of x by y |

15 | K_01_02 | Num | 8 | Coherency**2 of x by y |

2 | PERIOD | Num | 8 | Period |

17 | PH_01_02 | Num | 8 | Phase of x by y |

7 | P_01 | Num | 8 | Periodogram of x |

8 | P_02 | Num | 8 | Periodogram of y |

14 | QS_01_02 | Num | 8 | Quadrature of x by y |

11 | RP_01_02 | Num | 8 | Real Periodogram of x by y |

4 | SIN_01 | Num | 8 | Sine Transform of x |

6 | SIN_02 | Num | 8 | Sine Transform of y |

9 | S_01 | Num | 8 | Spectral Density of x |

10 | S_02 | Num | 8 | Spectral Density of y |

The following statements plot the amplitude of the cross-spectrum estimate against frequency and against period for periods less than 25.

proc sgplot data=b; series x=freq y=a_01_02 / markers markerattrs=(symbol=circlefilled); xaxis values=(0 to 4 by 1); run;

The plot of the amplitude of the cross-spectrum estimate against frequency is shown in Output 25.2.2.

The plot of the cross-spectrum amplitude against period for periods less than 25 observations is shown in Output 25.2.3.

proc sgplot data=b; where period < 25; series x=period y=a_01_02 / markers markerattrs=(symbol=circlefilled); xaxis values=(0 to 30 by 5); run;

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