/* nag_robust_m_corr_user_fn_no_derr (g02hmc) Example Program.
*
* Copyright 2014 Numerical Algorithms Group.
*
* Mark 7, 2001.
* Mark 7b revised, 2004.
*/
#include <stdio.h>
#include <nag.h>
#include <nag_stdlib.h>
#include <nagg02.h>
#ifdef __cplusplus
extern "C" {
#endif
static void NAG_CALL ucv(double t, double *u, double *w, Nag_Comm *comm);
#ifdef __cplusplus
}
#endif
int main(void)
{
/* Scalars */
double bd, bl, tol;
Integer exit_status, i, indm, j, k, l1, l2, m, maxit, mm, n, nit,
nitmon;
Integer pdx;
NagError fail;
Nag_OrderType order;
Nag_Comm comm;
/* Arrays */
double *a = 0, *cov = 0, *theta = 0, *userp = 0, *wt = 0, *x = 0;
#ifdef NAG_COLUMN_MAJOR
#define X(I, J) x[(J-1)*pdx + I - 1]
order = Nag_ColMajor;
#else
#define X(I, J) x[(I-1)*pdx + J - 1]
order = Nag_RowMajor;
#endif
INIT_FAIL(fail);
exit_status = 0;
printf(
"nag_robust_m_corr_user_fn_no_derr (g02hmc) Example Program Results"
"\n");
/* Skip heading in data file */
scanf("%*[^\n] ");
/* Read in the dimensions of x */
scanf("%ld%ld%*[^\n] ", &n, &m);
/* Allocate memory */
if (!(a = NAG_ALLOC(m*(m+1)/2, double)) ||
!(cov = NAG_ALLOC(m*(m+1)/2, double)) ||
!(theta = NAG_ALLOC(m, double)) ||
!(userp = NAG_ALLOC(2, double)) ||
!(wt = NAG_ALLOC(n, double)) ||
!(x = NAG_ALLOC(n * m, double)))
{
printf("Allocation failure\n");
exit_status = -1;
goto END;
}
#ifdef NAG_COLUMN_MAJOR
pdx = n;
#else
pdx = m;
#endif
/* Read in the X matrix */
for (i = 1; i <= n; ++i)
{
for (j = 1; j <= m; ++j)
scanf("%lf", &X(i, j));
scanf("%*[^\n] ");
}
/* Read in the initial value of A */
mm = (m + 1) * m / 2;
for (j = 1; j <= mm; ++j)
scanf("%lf", &a[j - 1]);
scanf("%*[^\n] ");
/* Read in the initial value of theta */
for (j = 1; j <= m; ++j)
scanf("%lf", &theta[j - 1]);
scanf("%*[^\n] ");
/* Read in the values of the parameters of the ucv functions */
scanf("%lf%lf%*[^\n] ", &userp[0], &userp[1]);
/* Set the values remaining parameters */
indm = 1;
bl = 0.9;
bd = 0.9;
maxit = 50;
tol = 5e-5;
/* Change nitmon to a positive value if monitoring information
* is required
*/
nitmon = 0;
comm.p = (void *) userp;
/* nag_robust_m_corr_user_fn_no_derr (g02hmc).
* Calculates a robust estimation of a correlation matrix,
* user-supplied weight function
*/
nag_robust_m_corr_user_fn_no_derr(order, ucv, indm, n, m, x, pdx, cov, a, wt,
theta, bl, bd, maxit, nitmon, 0, tol, &nit,
&comm, &fail);
if (fail.code != NE_NOERROR)
{
printf(
"Error from nag_robust_m_corr_user_fn_no_derr (g02hmc).\n%s\n",
fail.message);
exit_status = 1;
goto END;
}
printf("\n");
printf(
"nag_robust_m_corr_user_fn_no_derr (g02hmc) required %4ld "
"iterations to converge\n\n", nit);
printf("Robust covariance matrix\n");
l2 = 0;
for (j = 1; j <= m; ++j)
{
l1 = l2 + 1;
l2 += j;
for (k = l1; k <= l2; ++k)
{
printf("%10.3f", cov[k - 1]);
printf("%s", k%6 == 0 || k == l2?"\n":" ");
}
}
printf("\n");
printf("Robust estimates of Theta\n");
for (j = 1; j <= m; ++j)
printf(" %10.3f\n", theta[j - 1]);
END:
NAG_FREE(a);
NAG_FREE(cov);
NAG_FREE(theta);
NAG_FREE(userp);
NAG_FREE(wt);
NAG_FREE(x);
return exit_status;
}
void NAG_CALL ucv(double t, double *u, double *w, Nag_Comm *comm)
{
double t2, cu, cw;
/* Function Body */
double *userp = (double *) comm->p;
cu = userp[0];
*u = 1.0;
if (t != 0.0)
{
t2 = t * t;
if (t2 > cu)
*u = cu / t2;
}
/* w function */
cw = userp[1];
if (t > cw)
*w = cw / t;
else
*w = 1.0;
return;
}