```/* nag_kruskal_wallis_test (g08afc) Example Program.
*
* NAGPRODCODE Version.
*
* Copyright 2016 Numerical Algorithms Group.
*
* Mark 26, 2016.
*/

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

int main(void)
{
Integer count, exit_status = 0, i, ii, k, *l = 0, lx, nhi, ni, nlo;
NagError fail;
double h, p, *x = 0;

INIT_FAIL(fail);

printf("nag_kruskal_wallis_test (g08afc) Example Program Results\n");

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

k = 5;
if (!(l = NAG_ALLOC(k, Integer)))
{
printf("Allocation failure\n");
exit_status = -1;
goto END;
}
for (i = 1; i <= k; i++)
scanf("%" NAG_IFMT "", &l[i - 1]);
printf("\n");
printf("%s\n", "Kruskal-Wallis test");
printf("\n");
printf("%s\n", "Data values");
printf("\n");
printf("%s\n", "  Group    Observations");

lx = 0;
for (i = 1; i <= 5; ++i)
lx += l[i - 1];

if (!(x = NAG_ALLOC(lx, double)))
{
printf("Allocation failure\n");
exit_status = -1;
goto END;
}
for (i = 1; i <= lx; ++i)
scanf("%lf", &x[i - 1]);

nlo = 1;
for (i = 1; i <= k; ++i) {
ni = l[i - 1];
nhi = nlo + ni - 1;
printf(" %5" NAG_IFMT "     ", i);
count = 1;
for (ii = nlo; ii <= nhi; ++ii) {
printf("%4.0f%s", x[ii - 1], count % 10 ? "" : "\n");
count++;
}
nlo += ni;
printf("\n");
}
/* nag_kruskal_wallis_test (g08afc).
* Kruskal-Wallis one-way analysis of variance on k samples
* of unequal size
*/
nag_kruskal_wallis_test(k, l, x, lx, &h, &p, &fail);
if (fail.code != NE_NOERROR) {
printf("Error from nag_kruskal_wallis_test (g08afc).\n%s\n",
fail.message);
exit_status = 1;
goto END;
}
printf("\n");
printf("%s%9.3f\n", "Test statistic       ", h);
printf("%s%9" NAG_IFMT "\n", "Degrees of freedom   ", k - 1);
printf("%s%9.3f\n", "Significance         ", p);
END:
NAG_FREE(l);
NAG_FREE(x);
return exit_status;
}
```