/* nag_summary_stats_onevar_combine (g01auc) Example Program.
*
* Copyright 2017 Numerical Algorithms Group.
*
* Mark 26.1, 2017.
*/
#include <stdio.h>
#include <nag.h>
#include <nag_stdlib.h>
#include <nagg01.h>
#define MRCOMM(I, J) mrcomm[(J)*20+(I)]
int main(void)
{
/* Integer scalar and array declarations */
Integer b, i, iwt, j, 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 *mrcomm = 0, *wt = 0, *x = 0;
/* Initialize the error structure */
INIT_FAIL(fail);
printf("nag_summary_stats_onevar_combine (g01auc) Example Program Results"
"\n\n");
/* Skip heading in data file */
scanf("%*[^\n] ");
/* Read in the number of block of data we have */
scanf("%" NAG_IFMT "%*[^\n] ", &b);
if (!(mrcomm = NAG_ALLOC(20 * b, double)))
{
printf("Allocation failure\n");
exit_status = -1;
goto END;
}
/* Loop over each block of data */
for (j = 0; j < b; j++) {
/* Read in the number of observations in this block and a flag indicating
whether weights have been supplied (iwt = 1) or not (iwt = 0) */
scanf("%" NAG_IFMT "%" NAG_IFMT "%*[^\n] ", &nb, &iwt);
/* Reallocate X to the required size */
NAG_FREE(x);
if (!(x = NAG_ALLOC(nb, double)))
{
printf("Allocation failure\n");
exit_status = -2;
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 = -3;
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 summarise
this block of data */
pn = 0;
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;
}
/* Save RCOMM for future reference */
for (i = 0; i < 20; i++)
MRCOMM(i, j) = rcomm[i];
/* Display the results for this block */
printf(" Summary for block %" NAG_IFMT "\n", j + 1);
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\n", xmax);
}
}
/* Call nag_summary_stats_onevar_combine (g01auc) to combine the
summaries across all the blocks */
nag_summary_stats_onevar_combine(b, mrcomm, &pn, &xmean, &xsd, &xskew,
&xkurt, &xmin, &xmax, rcomm, &fail);
if (fail.code != NE_NOERROR) {
printf("Error from nag_summary_stats_onevar_combine (g01auc).\n%s\n",
fail.message);
exit_status = 2;
goto END;
}
/* Display the combined results */
printf(" Summary for the combined data\n");
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);
NAG_FREE(mrcomm);
return (exit_status);
}