gsl_statistics__wskew_source.c 2.0 KB

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  1. /* statistics/wskew_source.c
  2. *
  3. * Copyright (C) 1996, 1997, 1998, 1999, 2000, 2007 Jim Davies, Brian Gough
  4. *
  5. * This program is free software; you can redistribute it and/or modify
  6. * it under the terms of the GNU General Public License as published by
  7. * the Free Software Foundation; either version 3 of the License, or (at
  8. * your option) any later version.
  9. *
  10. * This program is distributed in the hope that it will be useful, but
  11. * WITHOUT ANY WARRANTY; without even the implied warranty of
  12. * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
  13. * General Public License for more details.
  14. *
  15. * You should have received a copy of the GNU General Public License
  16. * along with this program; if not, write to the Free Software
  17. * Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301, USA.
  18. */
  19. double
  20. FUNCTION(gsl_stats,wskew) (const BASE w[], const size_t wstride, const BASE data[], const size_t stride, const size_t n)
  21. {
  22. const double wmean = FUNCTION(gsl_stats,wmean)(w, wstride, data, stride, n);
  23. const double wsd = FUNCTION(gsl_stats,wsd_m)(w, wstride, data, stride, n, wmean);
  24. return FUNCTION(gsl_stats,wskew_m_sd)(w, wstride, data, stride, n, wmean, wsd);
  25. }
  26. double
  27. FUNCTION(gsl_stats,wskew_m_sd) (const BASE w[], const size_t wstride,
  28. const BASE data[],
  29. const size_t stride, const size_t n,
  30. const double wmean, const double wsd)
  31. {
  32. /* Compute the weighted skewness of a dataset */
  33. long double wskew = 0;
  34. long double W = 0;
  35. size_t i;
  36. /* find the sum of the cubed deviations, normalized by the sd. */
  37. /* we use a recurrence relation to stably update a running value so
  38. there aren't any large sums that can overflow */
  39. for (i = 0; i < n; i++)
  40. {
  41. BASE wi = w[i * wstride];
  42. if (wi > 0) {
  43. const long double x = (data[i * stride] - wmean) / wsd;
  44. W += wi ;
  45. wskew += (x * x * x - wskew) * (wi / W);
  46. }
  47. }
  48. return wskew;
  49. }