/* nag_1_sample_ks_test (g08cbc) Example Program.
 *
 * Copyright 2000 Numerical Algorithms Group.
 *
 * Mark 6, 2000.
 */

#include <stdio.h>
#include <nag.h>
#include <nagx04.h>
#include <nag_stdlib.h>
#include <nagg08.h>

int main(int argc, char *argv[])
{
  FILE               *fpin, *fpout;
  Integer            exit_status = 0;
  Integer            i, n, np;
  double             d, p, *par = 0, *x = 0, z;
  char               nag_enum_arg[40];
  Nag_TestStatistics ntype;
  NagError           fail;

  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_1_sample_ks_test (g08cbc) Example Program Results\n");

  /* Skip heading in data file */
  fscanf(fpin, "%*[^\n]");

  fscanf(fpin, "%ld", &n);
  x = NAG_ALLOC(n, double);

  fprintf(fpout, "\n");
  for (i = 1; i <= n; ++i)
    fscanf(fpin, "%lf", &x[i - 1]);
  fscanf(fpin, "%ld", &np);
  if (!(par = NAG_ALLOC(np, double)))
    {
      fprintf(fpout, "Allocation failure\n");
      exit_status = -1;
      goto END;
    }

  for (i = 1; i <= np; ++i)
    fscanf(fpin, "%lf", &par[i - 1]);
  fscanf(fpin, "%s", nag_enum_arg);
  /* nag_enum_name_to_value(x04nac).
   * Converts NAG enum member name to value
   */
  ntype = (Nag_TestStatistics) nag_enum_name_to_value(nag_enum_arg);

  /* nag_1_sample_ks_test (g08cbc).
   * Performs the one-sample Kolmogorov-Smirnov test for
   * standard distributions
   */
  nag_1_sample_ks_test(n, x, Nag_Uniform, par, Nag_ParaSupplied, ntype, &d,
                       &z, &p, &fail);
  if (fail.code != NE_NOERROR)
    {
      fprintf(fpout, "Error from nag_1_sample_ks_test (g08cbc).\n%s\n",
              fail.message);
      exit_status = 1;
      goto END;
    }
  fprintf(fpout, "Test against uniform distribution on (0,2)\n");
  fprintf(fpout, "\n");
  fprintf(fpout, "Test statistic D = %8.4f\n", d);
  fprintf(fpout, "Z statistic      = %8.4f\n", z);
  fprintf(fpout, "Tail probability = %8.4f\n", p);
  fprintf(fpout, "\n");
  fscanf(fpin, "%ld", &np);
  for (i = 1; i <= np; ++i)
    fscanf(fpin, "%lf", &par[i - 1]);
  fscanf(fpin, "%s", nag_enum_arg);
  ntype = (Nag_TestStatistics) nag_enum_name_to_value(nag_enum_arg);

  /* nag_1_sample_ks_test (g08cbc), see above. */
  nag_1_sample_ks_test(n, x, Nag_Normal, par, Nag_ParaEstimated, ntype, &d,
                       &z, &p, &fail);
  if (fail.code != NE_NOERROR)
    {
      fprintf(fpout, "Error from nag_1_sample_ks_test (g08cbc).\n%s\n",
              fail.message);
      exit_status = 1;
      goto END;
    }

  fprintf(fpout, "Test against Normal distribution with parameters estimated"
          " from the data\n\n");
  fprintf(fpout, "Mean = %6.4f  and variance = %6.4f\n", par[0], par[1]);
  fprintf(fpout, "Test statistic D = %8.4f\n", d);
  fprintf(fpout, "Z statistic      = %8.4f\n", z);
  fprintf(fpout, "Tail probability = %8.4f\n", p);

 END:
  if (fpin != stdin) fclose(fpin);
  if (fpout != stdout) fclose(fpout);
  if (x) NAG_FREE(x);
  if (par) NAG_FREE(par);

  return exit_status;
}