/* nag_stat_summary_onevar (g01atc) Example Program.
*
* Copyright 2023 Numerical Algorithms Group.
*
* Mark 29.0, 2023.
*/
#include <nag.h>
#include <stdio.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[20];
double *wt = 0, *x = 0;
/* Initialize the error structure */
INIT_FAIL(fail);
printf("nag_stat_summary_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_stat_summary_onevar (g01atc) to update the summaries for
this block of data */
nag_stat_summary_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_stat_summary_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);
}