C++ (Cpp) gsl_rstat_quantile_add 예제들

예제 #1

파일: test.c 프로젝트: smithzvk/gsl-scattered-interpolation

void
test_quantile(const double p, const double data[], const size_t n,
              const double expected, const double tol, const char *desc)
{
  gsl_rstat_quantile_workspace *w = gsl_rstat_quantile_alloc(p);
  double result;
  size_t i;

  for (i = 0; i < n; ++i)
    gsl_rstat_quantile_add(data[i], w);

  result = gsl_rstat_quantile_get(w);

  if (fabs(expected) < 1.0e-4)
    gsl_test_abs(result, expected, tol, "%s p=%g", desc, p);
  else
    gsl_test_rel(result, expected, tol, "%s p=%g", desc, p);

  gsl_rstat_quantile_free(w);
}

예제 #2

파일: rstat.c 프로젝트: FMX/gsl

/* add a data point to the running totals */
int
gsl_rstat_add(const double x, gsl_rstat_workspace *w)
{
  double delta = x - w->mean;
  double delta_n, delta_nsq, term1, n;

  /* update min and max */
  if (w->n == 0)
    {
      w->min = x;
      w->max = x;
    }
  else
    {
      if (x < w->min)
        w->min = x;
      if (x > w->max)
        w->max = x;
    }

  /* update mean and variance */
  n = (double) ++(w->n);
  delta_n = delta / n;
  delta_nsq = delta_n * delta_n;
  term1 = delta * delta_n * (n - 1.0);
  w->mean += delta_n;
  w->M4 += term1 * delta_nsq * (n * n - 3.0 * n + 3.0) +
           6.0 * delta_nsq * w->M2 - 4.0 * delta_n * w->M3;
  w->M3 += term1 * delta_n * (n - 2.0) - 3.0 * delta_n * w->M2;
  w->M2 += term1;

  /* update median */
  gsl_rstat_quantile_add(x, w->median_workspace_p);

  return GSL_SUCCESS;
} /* gsl_rstat_add() */