/* nag_2_sample_ks_test (g08cdc) Example Program.
 *
 * Copyright 2000 Numerical Algorithms Group.
 *
 * Mark 6, 2000.
 *
 * Mark 8 revised, 2004
 *
 */

#include <stdio.h>
#include <nag.h>
#include <nag_stdlib.h>
#include <nagg05.h>
#include <nagg08.h>

int main (void)
{
  Integer exit_status=0, i, igen = 0, init, iseed[] = {0, 0, 0, 0}, m, n, ntype;
  NagError fail;
  Nag_TestStatistics ntype_enum;
  double d, enda, endb, p, *x=0, *y=0, z;

  INIT_FAIL(fail);
  Vprintf("nag_2_sample_ks_test (g08cdc) Example Program Results\n");

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

  Vscanf("%ld %ld", &n, &m);
  if (!(x = NAG_ALLOC(n, double))
      || !(y = NAG_ALLOC(m, double)))
    {
      Vprintf("Allocation failure\n");
      exit_status = -1;
      goto END;
    }
  Vprintf("\n");
  init = 0;
  /* nag_rngs_init_repeatable (g05kbc).
   * Initialize seeds of a given generator for random number
   * generating functions (that pass seeds explicitly) to give
   * a repeatable sequence
   */
  nag_rngs_init_repeatable(&igen, iseed);
  enda = 0.0;
  endb = 2.0;
  for (i=0;i<n;i++)
    /* nag_rngs_basic (g05kac).
     * Pseudo-random real numbers, uniform distribution over
     * (0,1), seeds and generator number passed explicitly
     */
    x[i]=enda + (endb-enda) * nag_rngs_basic(igen, iseed);
  enda = 0.25;
  endb = 2.25;
  for (i=0;i<m;i++)
    /* nag_rngs_basic (g05kac), see above. */
    y[i]=enda + (endb-enda) * nag_rngs_basic(igen, iseed);

  Vscanf("%ld", &ntype);
  if (ntype == 1)
    ntype_enum =  Nag_TestStatisticsDAbs;
  else if (ntype == 2)
    ntype_enum =  Nag_TestStatisticsDPos;
  else if (ntype == 3)
    ntype_enum =  Nag_TestStatisticsDNeg;
  else
    ntype_enum = (Nag_TestStatistics)-999;

  /* nag_2_sample_ks_test (g08cdc).
   * Performs the two-sample Kolmogorov-Smirnov test
   */
  nag_2_sample_ks_test(n, x, m, y, ntype_enum, &d, &z, &p, &fail);
  if (fail.code != NE_NOERROR)
    {
      Vprintf("Error from nag_2_sample_ks_test (g08cdc).\n%s\n", fail.message);
      exit_status = 1;
      goto END;
    }
  Vprintf("Test statistic D = %8.4f\n", d);
  Vprintf("Z statistic      = %8.4f\n", z);
  Vprintf("Tail probability = %8.4f\n", p);
 END:
  if (x) NAG_FREE(x);
  if (y) NAG_FREE(y);
  return exit_status;
}