NAG Library Manual, Mark 30
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NAG CL Interface Introduction
Example description
/* nag_nonpar_test_ks_2sample (g08cdc) Example Program.
 *
 * Copyright 2024 Numerical Algorithms Group.
 *
 * Mark 30.0, 2024.
 *
 *
 */

#include <nag.h>
#include <stdio.h>

int main(void) {
  /* Integer scalar and array declarations */
  Integer exit_status = 0;
  Integer m, n, lstate;
  Integer *state = 0;

  /* Double scalar and array declarations */
  double d, p, z;
  double *x = 0, *y = 0;

  /* Character array declarations */
  char nag_enum_arg[40];

  /* NAG structures and data types */
  Nag_TestStatistics ntype;
  NagError fail;

  /* Choose the base generator */
  Nag_BaseRNG genid = Nag_Basic;
  Integer subid = 0;

  /* Set the seed */
  Integer seed[] = {423523};
  Integer lseed = 1;

  /* Initialize the error structure */
  INIT_FAIL(fail);

  printf("nag_nonpar_test_ks_2sample (g08cdc) Example Program Results\n");

  /* Get the length of the state array */
  lstate = -1;
  nag_rand_init_repeat(genid, subid, seed, lseed, state, &lstate, &fail);
  if (fail.code != NE_NOERROR) {
    printf("Error from nag_rand_init_repeat (g05kfc).\n%s\n", fail.message);
    exit_status = 1;
    goto END;
  }

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

  /* Get the problem size */
  scanf("%" NAG_IFMT " %" NAG_IFMT "", &n, &m);

  /* Allocate the arrays */
  if (!(x = NAG_ALLOC(n, double)) || !(state = NAG_ALLOC(lstate, Integer)) ||
      !(y = NAG_ALLOC(m, double))) {
    printf("Allocation failure\n");
    exit_status = -1;
    goto END;
  }
  printf("\n");

  /* Initialize the generator to a repeatable sequence */
  nag_rand_init_repeat(genid, subid, seed, lseed, state, &lstate, &fail);
  if (fail.code != NE_NOERROR) {
    printf("Error from nag_rand_init_repeat (g05kfc).\n%s\n", fail.message);
    exit_status = 1;
    goto END;
  }

  /* Generate vector of n uniform variates between 0 and 2 */
  nag_rand_dist_uniform(n, 0.0, 2.0, state, x, &fail);
  if (fail.code != NE_NOERROR) {
    printf("Error from nag_rand_dist_uniform (g05sqc).\n%s\n", fail.message);
    exit_status = 1;
    goto END;
  }

  /* Generate vector of m uniform variates between 0.25 and 2.25 */
  nag_rand_dist_uniform(m, 0.25, 2.25, state, y, &fail);
  if (fail.code != NE_NOERROR) {
    printf("Error from nag_rand_dist_uniform (g05sqc).\n%s\n", fail.message);
    exit_status = 1;
    goto END;
  }
  scanf("%39s", 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_nonpar_test_ks_2sample (g08cdc).
   * Performs the two-sample Kolmogorov-Smirnov test
   */
  nag_nonpar_test_ks_2sample(n, x, m, y, ntype, &d, &z, &p, &fail);
  if (fail.code != NE_NOERROR) {
    printf("Error from nag_nonpar_test_ks_2sample (g08cdc).\n%s\n",
           fail.message);
    exit_status = 1;
    goto END;
  }
  printf("Test statistic D = %8.4f\n", d);
  printf("Z statistic      = %8.4f\n", z);
  printf("Tail probability = %8.4f\n", p);

END:
  NAG_FREE(x);
  NAG_FREE(y);
  NAG_FREE(state);

  return exit_status;
}