/* nag_sum_sqs (g02buc) Example Program. * * Copyright 2002 Numerical Algorithms Group. * * Mark 7, 2002. */ #include #include #include #include #include #include #include int main(void) { /* Arrays */ char nag_enum_mean[40], nag_enum_weight[40]; double *c = 0, *v = 0, *wmean = 0, *wt = 0, *x = 0; double *wtptr = 0; /* Scalars */ double alpha, sw; Integer exit_status, j, k, m, mm, n, pdx; Nag_SumSquare mean; Nag_Boolean weight; Nag_OrderType order; NagError fail; #ifdef NAG_COLUMN_MAJOR #define X(I, J) x[(J-1)*pdx + I - 1] order = Nag_ColMajor; #else #define X(I, J) x[(I-1)*pdx + J - 1] order = Nag_RowMajor; #endif INIT_FAIL(fail); exit_status = 0; printf("nag_sum_sqs (g02buc) Example Program Results\n"); /* Skip heading in data file */ scanf("%*[^\n] "); while (scanf("%39s %39s %ld%ld%*[^\n]", nag_enum_mean, nag_enum_weight, &m, &n) != EOF) { /* nag_enum_name_to_value (x04nac). * Converts NAG enum member name to value */ mean = (Nag_SumSquare) nag_enum_name_to_value(nag_enum_mean); weight = (Nag_Boolean) nag_enum_name_to_value(nag_enum_weight); /* Allocate memory */ if (!(c = NAG_ALLOC((m*m+m)/2, double)) || !(v = NAG_ALLOC((m*m+m)/2, double)) || !(wmean = NAG_ALLOC(m, double)) || !(wt = NAG_ALLOC(n, double)) || !(x = NAG_ALLOC(n * m, double))) { printf("Allocation failure\n"); exit_status = -1; goto END; } #ifdef NAG_COLUMN_MAJOR pdx = n; #else pdx = m; #endif for (j = 1; j <= n; ++j) scanf("%lf", &wt[j-1]); scanf("%*[^\n] "); for (j = 1; j <= n; ++j) { for (k = 1; k <= m; ++k) scanf("%lf", &X(j, k)); } scanf("%*[^\n] "); if (weight) wtptr = wt; /* Calculate sums of squares and cross-products matrix */ /* nag_sum_sqs (g02buc). * Computes a weighted sum of squares matrix */ nag_sum_sqs(order, mean, n, m, x, pdx, wtptr, &sw, wmean, c, &fail); if (fail.code != NE_NOERROR) { printf("Error from nag_sum_sqs (g02buc).\n%s\n", fail.message); exit_status = 1; goto END; } printf("\n"); printf("Means\n"); for (j = 1; j <= m; ++j) printf("%14.4f%s", wmean[j-1], j%6 == 0 || j == m?"\n":" "); if (wtptr) { printf("\n"); printf("Weights\n"); for (j = 1; j <= n; ++j) printf("%14.4f%s", wt[j-1], j%6 == 0 || j == n?"\n":" "); printf("\n"); } /* Print the sums of squares and cross products matrix */ /* nag_pack_real_mat_print (x04ccc). * Print real packed triangular matrix (easy-to-use) */ fflush(stdout); nag_pack_real_mat_print(Nag_ColMajor, Nag_Upper, Nag_NonUnitDiag, m, c, "Sums of squares and cross-products", 0, &fail); if (fail.code != NE_NOERROR) { printf("Error from nag_pack_real_mat_print (x04ccc).\n%s\n", fail.message); exit_status = 1; goto END; } if (sw > 1.0) { /* Calculate the variance matrix */ alpha = 1.0 / (sw - 1.0); mm = m * (m + 1) / 2; /* v[] = alpha*c[] using * nag_daxpby (f16ecc) * Multiply real vector by scalar, preserving input vector */ nag_daxpby(mm, alpha, c, 1, 0.0, v, 1, &fail); /* Print the variance matrix */ printf("\n"); /* nag_pack_real_mat_print (x04ccc), see above. */ fflush(stdout); nag_pack_real_mat_print(Nag_ColMajor, Nag_Upper, Nag_NonUnitDiag, m, v, "Variance matrix", 0, &fail); if (fail.code != NE_NOERROR) { printf( "Error from nag_pack_real_mat_print (x04ccc).\n%s\n", fail.message); exit_status = 1; goto END; } } NAG_FREE(c); NAG_FREE(v); NAG_FREE(wmean); NAG_FREE(wt); NAG_FREE(x); } END: NAG_FREE(c); NAG_FREE(v); NAG_FREE(wmean); NAG_FREE(wt); NAG_FREE(x); return exit_status; }