/* nag_tsa_noise_spectrum_bivar (g13cgc) Example Program. * * Copyright 1996 Numerical Algorithms Group. * * Mark 4, 1996. * Mark 8 revised, 2004. * */ #include #include #include #include #include #define LMAX 80 #define KC 8*L #define NGMAX KC #define L LMAX #define NXYMAX 300 int main(void) { Complex *xyg; Integer exit_status = 0, i, is, j, kc = KC, l = L, mw, ng, nxy; NagError fail; double erlw, erup, pw, pxy, rfse; double *er = 0, *rf = 0, *stats = 0, *x = 0, *xg, *y = 0, *yg; INIT_FAIL(fail); printf( "nag_tsa_noise_spectrum_bivar (g13cgc) Example Program Results\n"); /* Skip heading in data file */ scanf("%*[^\n] "); scanf("%ld ", &nxy); if (nxy > 0 && nxy <= NXYMAX) { if (!(stats = NAG_ALLOC(4, double)) || !(x = NAG_ALLOC(KC, double)) || !(y = NAG_ALLOC(KC, double)) || !(er = NAG_ALLOC(NGMAX, double)) || !(rf = NAG_ALLOC(LMAX, double))) { printf("Allocation failure\n"); exit_status = -1; goto END; } for (i = 1; i <= nxy; ++i) scanf("%lf ", &x[i - 1]); for (i = 1; i <= nxy; ++i) scanf("%lf ", &y[i - 1]); /* Set parameters for call to nag_tsa_spectrum_univar (g13cbc) and g13cdc * with mean correction and 10 percent taper */ pxy = 0.1; /* Window shape parameter and zero covariance at lag 16 */ pw = 0.5; mw = 16; /* Alignment shift of 3 */ is = 3; /* Obtain univariate spectrum for the x and the y series */ /* nag_tsa_spectrum_univar (g13cbc). * Univariate time series, smoothed sample spectrum using * spectral smoothing by the trapezium frequency (Daniell) * window */ nag_tsa_spectrum_univar(nxy, Nag_Mean, pxy, mw, pw, l, kc, Nag_Unlogged, x, &xg, &ng, stats, &fail); if (fail.code != NE_NOERROR) { printf("Error from nag_tsa_spectrum_univar (g13cbc).\n%s\n", fail.message); exit_status = 1; goto END; } /* nag_tsa_spectrum_univar (g13cbc), see above. */ nag_tsa_spectrum_univar(nxy, Nag_Mean, pxy, mw, pw, l, kc, Nag_Unlogged, y, &yg, &ng, stats, &fail); if (fail.code != NE_NOERROR) { printf("Error from nag_tsa_spectrum_univar (g13cbc).\n%s\n", fail.message); exit_status = 1; goto END; } /* Obtain cross spectrum of the bivariate series */ /* nag_tsa_spectrum_bivar (g13cdc). * Multivariate time series, smoothed sample cross spectrum * using spectral smoothing by the trapezium frequency * (Daniell) window */ nag_tsa_spectrum_bivar(nxy, Nag_Mean, pxy, mw, is, pw, l, kc, x, y, &xyg, &ng, &fail); if (fail.code != NE_NOERROR) { printf("Error from nag_tsa_spectrum_bivar (g13cdc).\n%s\n", fail.message); exit_status = 1; goto END; } /* nag_tsa_noise_spectrum_bivar (g13cgc). * Multivariate time series, noise spectrum, bounds, impulse * response function and its standard error */ nag_tsa_noise_spectrum_bivar(xg, yg, xyg, ng, stats, l, nxy, er, &erlw, &erup, rf, &rfse, &fail); if (fail.code != NE_NOERROR) { printf( "Error from nag_tsa_noise_spectrum_bivar (g13cgc).\n%s\n", fail.message); exit_status = 1; goto END; } printf("\n"); printf(" Noise spectrum\n\n"); for (j = 1; j <= ng; ++j) printf("%6ld%16.4f\n", j - 1, er[j - 1]); printf("\nNoise spectrum bounds multiplying factors\n\n"); printf("Lower =%10.4f", erlw); printf(" Upper =%10.4f\n\n", erup); printf("Impulse response function\n\n"); for (j = 1; j <= l; ++j) printf("%6ld%16.4f\n", j - 1, rf[j - 1]); printf("\nImpulse response function standard error =%10.4f\n", rfse); } NAG_FREE(xg); NAG_FREE(yg); NAG_FREE(xyg); END: if (stats) NAG_FREE(stats); if (x) NAG_FREE(x); if (y) NAG_FREE(y); if (er) NAG_FREE(er); if (rf) NAG_FREE(rf); return exit_status; }