/* nag_contab_binary (g11sac) Example Program.
*
* Copyright 2023 Numerical Algorithms Group.
*
* Mark 29.1, 2023.
*/
#include <nag.h>
#include <stdio.h>
int main(void) {
/* Scalars */
double cgetol, chi, rlogl, siglev;
Integer exit_status, i, pdcm, idf, p, iprint, is;
Integer j, maxit, n, niter, nrx, pdx, pdexpp;
/* Arrays */
double *a = 0, *alpha = 0, *c = 0, *cm = 0, *exf = 0, *expp = 0, *g = 0,
*obs = 0, *pigam = 0, *xl = 0, *y = 0;
Integer *iob = 0, *irl = 0;
char nag_enum_arg[40];
/* NAG Types */
Nag_Boolean *x = 0;
Nag_Boolean chisqr, gprob;
Nag_OrderType order;
NagError fail;
#ifdef NAG_COLUMN_MAJOR
#define X(I, J) x[(J - 1) * pdx + I - 1]
#define CM(I, J) cm[(J - 1) * pdcm + I - 1]
order = Nag_ColMajor;
#else
#define X(I, J) x[(I - 1) * pdx + J - 1]
#define CM(I, J) cm[(I - 1) * pdcm + J - 1]
order = Nag_RowMajor;
#endif
INIT_FAIL(fail);
exit_status = 0;
printf("nag_contab_binary (g11sac) Example Program Results\n");
/* Skip heading in data file */
scanf("%*[^\n] ");
scanf("%" NAG_IFMT "%" NAG_IFMT "%" NAG_IFMT "%*[^\n] ", &p, &n, &is);
if (p > 0 && is >= 0) {
/* Allocate arrays */
pdcm = 2 * p;
pdexpp = p;
nrx = is;
if (!(a = NAG_ALLOC(p, double)) || !(alpha = NAG_ALLOC(p, double)) ||
!(c = NAG_ALLOC(p, double)) ||
!(cm = NAG_ALLOC(pdcm * 2 * p, double)) ||
!(exf = NAG_ALLOC(is, double)) ||
!(expp = NAG_ALLOC(pdexpp * p, double)) ||
!(g = NAG_ALLOC(2 * p, double)) || !(obs = NAG_ALLOC(p * p, double)) ||
!(pigam = NAG_ALLOC(p, double)) || !(xl = NAG_ALLOC(is, double)) ||
!(y = NAG_ALLOC(is, double)) || !(iob = NAG_ALLOC(is, Integer)) ||
!(irl = NAG_ALLOC(is, Integer)) ||
!(x = NAG_ALLOC(nrx * p, Nag_Boolean))) {
printf("Allocation failure\n");
exit_status = -1;
goto END;
}
if (order == Nag_ColMajor)
pdx = nrx;
else
pdx = p;
for (i = 1; i <= is; ++i) {
scanf("%" NAG_IFMT "", &irl[i - 1]);
for (j = 1; j <= p; ++j) {
scanf(" %39s", nag_enum_arg);
/* nag_enum_name_to_value (x04nac).
* Converts NAG enum member name to value
*/
X(i, j) = (Nag_Boolean)nag_enum_name_to_value(nag_enum_arg);
}
scanf("%*[^\n] ");
}
gprob = Nag_FALSE;
for (i = 1; i <= p; ++i) {
a[i - 1] = 0.5;
c[i - 1] = 0.0;
}
/* Set iprint > 0 to obtain intermediate output */
iprint = -1;
cgetol = 1e-4;
maxit = 1000;
chisqr = Nag_TRUE;
/* nag_contab_binary (g11sac).
* Contingency table, latent variable model for binary data
*/
nag_contab_binary(order, p, n, gprob, is, x, pdx, irl, a, c, iprint, 0,
cgetol, maxit, chisqr, &niter, alpha, pigam, cm, pdcm, g,
expp, pdexpp, obs, exf, y, iob, &rlogl, &chi, &idf,
&siglev, &fail);
if (fail.code != NE_NOERROR) {
printf("Error from nag_contab_binary (g11sac).\n%s\n", fail.message);
exit_status = 1;
goto END;
}
printf("\n");
printf("Item Alpha (s.e.) Pi (s.e.)\n");
for (i = 1; i <= p; i++)
printf(" %" NAG_IFMT " %g (%10g) %g (%10g)\n", i, alpha[i - 1],
CM(2 * i - 1, 2 * i - 1), pigam[i - 1], CM(2 * i, 2 * i));
printf("\n");
printf("Index Observed Expected Theta Pattern\n");
printf(" Frequency Frequency Score\n");
for (i = 1; i <= is; i++) {
printf("%4" NAG_IFMT "%10" NAG_IFMT "%13.3f%13.7f ", i, irl[i - 1],
exf[i - 1], y[i - 1]);
for (j = 1; j <= p; j++) {
if (X(i, j) == Nag_TRUE)
printf("%3s", "T");
else
printf("%3s", "F");
}
printf("\n");
}
printf("\n");
printf("Chi-squared test statistic = %g\n", chi);
printf("Degrees of freedom = %" NAG_IFMT "\n", idf);
printf("Significance = %g\n", siglev);
}
END:
NAG_FREE(a);
NAG_FREE(alpha);
NAG_FREE(c);
NAG_FREE(cm);
NAG_FREE(exf);
NAG_FREE(expp);
NAG_FREE(g);
NAG_FREE(obs);
NAG_FREE(pigam);
NAG_FREE(xl);
NAG_FREE(y);
NAG_FREE(iob);
NAG_FREE(irl);
NAG_FREE(x);
return exit_status;
}