/* nag_robust_trimmed_1var (g07ddc) Example Program. * * Copyright 1996 Numerical Algorithms Group. * * Mark 4, 1996. * Mark 8 revised, 2004. * */ #include #include #include #include #include #define NMAX 1000 int main(int argc, char *argv[]) { FILE *fpin, *fpout; /* Local variables */ Integer exit_status = 0, i, k, n; NagError fail; double alpha, propn, *sx = 0, tmean, tvar, wmean, wvar, *x = 0; INIT_FAIL(fail); /* Check for command-line IO options */ fpin = nag_example_file_io(argc, argv, "-data", NULL); fpout = nag_example_file_io(argc, argv, "-results", NULL); fprintf(fpout, "nag_robust_trimmed_1var (g07ddc) Example Program Results\n\n"); /* Skip heading in data file */ fscanf(fpin, "%*[^\n] "); fscanf(fpin, "%ld ", &n); if (n >= 2) { if (!(x = NAG_ALLOC(NMAX, double)) || !(sx = NAG_ALLOC(NMAX, double))) { fprintf(fpout, "Allocation failure\n"); exit_status = -1; goto END; } } else { fprintf(fpout, "Invalid n.\n"); exit_status = 1; return exit_status; } for (i = 1; i <= n; ++i) fscanf(fpin, "%lf ", &x[i - 1]); fscanf(fpin, "%lf ", &alpha); /* nag_robust_trimmed_1var (g07ddc). * Trimmed and winsorized mean of a sample with estimates of * the variances of the two means */ nag_robust_trimmed_1var(n, x, alpha, &tmean, &wmean, &tvar, &wvar, &k, sx, &fail); if (fail.code != NE_NOERROR) { fprintf(fpout, "Error from nag_robust_trimmed_1var (g07ddc).\n%s\n", fail.message); exit_status = 1; goto END; } propn = (double) k / n; propn = 100.0 - propn * 200.0; fprintf(fpout, "Statistics from middle %6.2f%% of data\n\n", propn); fprintf(fpout, " Trimmed-mean = %11.4f\n", tmean); fprintf(fpout, " Variance of Trimmed-mean = %11.4f\n\n", tvar); fprintf(fpout, " Winsorized-mean = %11.4f\n", wmean); fprintf(fpout, "Variance of Winsorized-mean = %11.4f\n", wvar); END: if (fpin != stdin) fclose(fpin); if (fpout != stdout) fclose(fpout); if (x) NAG_FREE(x); if (sx) NAG_FREE(sx); return exit_status; }