/* nag_summary_stats_onevar (g01atc) Example Program.
*
* Copyright 2017 Numerical Algorithms Group.
*
* Mark 26.1, 2017.
*/

#include <stdio.h>
#include <nag.h>
#include <nag_stdlib.h>
#include <nagg01.h>

int main(void)
{
/* Integer scalar and array declarations */
Integer b, i, ierr, iwt, nb, pn;
Integer exit_status = 0;

/* NAG structures and types */
NagError fail;

/* Double scalar and array declarations */
double xkurt, xmax, xmean, xmin, xsd, xskew;
double rcomm;
double *wt = 0, *x = 0;

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

printf("nag_summary_stats_onevar (g01atc) Example Program Results\n\n");

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

/* Initialize the number of valid observations processed so far */
pn = 0;

/* Loop over each block of data */
for (b = 0;;) {
/* Read in the number of observations in this block and a flag indicating
whether weights have been supplied (iwt = 1) or not (iwt = 0) */
ierr = scanf("%" NAG_IFMT "%" NAG_IFMT "", &nb, &iwt);
if (ierr == EOF || ierr < 2)
break;
scanf("%*[^\n] ");

/* Keep a running total of the number of blocks of data */
b++;

/* Reallocate X to the required size */
NAG_FREE(x);
if (!(x = NAG_ALLOC(nb, double)))
{
printf("Allocation failure\n");
exit_status = -1;
goto END;
}

/* Read in the data for this block */
if (iwt) {
/* Weights supplied, so reallocate WT to the required size */
NAG_FREE(wt);
if (!(wt = NAG_ALLOC(nb, double)))
{
printf("Allocation failure\n");
exit_status = -2;
goto END;
}
for (i = 0; i < nb; i++)
scanf("%lf%lf", &x[i], &wt[i]);
}
else {
/* No weights */
NAG_FREE(wt);
wt = 0;

for (i = 0; i < nb; i++)
scanf("%lf", &x[i]);
}
scanf("%*[^\n] ");

/* Call nag_summary_stats_onevar (g01atc) to update the summaries for
this block of data */
nag_summary_stats_onevar(nb, x, wt, &pn, &xmean, &xsd, &xskew, &xkurt,
&xmin, &xmax, rcomm, &fail);
if (fail.code != NE_NOERROR && fail.code != NE_CASES_ONE &&
fail.code != NE_ZERO_VARIANCE && fail.code != NE_CASES_ZERO) {
printf("Error from nag_summary_stats_onevar (g01atc).\n%s\n",
fail.message);
exit_status = 1;
goto END;
}
}

/* Display the results */
printf(" Data supplied in %" NAG_IFMT " blocks\n", b);
if (fail.code == NE_CASES_ZERO)
printf(" No valid observations supplied. All weights are zero.\n");
else {
printf(" %" NAG_IFMT " valid observations\n", pn);
printf(" Mean          %13.2f\n", xmean);
if (fail.code == NE_CASES_ONE) {
printf("   Unable to calculate the standard deviation,");
printf(" skewness or kurtosis\n");
}
else {
printf(" Std devn      %13.2f\n", xsd);
if (fail.code == NE_ZERO_VARIANCE)
printf("   Unable to calculate the skewness and kurtosis\n");
else {
printf(" Skewness      %13.2f\n", xskew);
printf(" Kurtosis      %13.2f\n", xkurt);
}
}
printf(" Minimum       %13.2f\n", xmin);
printf(" Maximum       %13.2f\n", xmax);
}

END:
NAG_FREE(x);
NAG_FREE(wt);

return (exit_status);
}