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view scripts/statistics/base/var.m @ 9245:16f53d29049f
update copyright notices
author | John W. Eaton <jwe@octave.org> |
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date | Fri, 22 May 2009 10:46:00 -0400 |
parents | 80d499b82ff3 |
children | 56751dfc6ebd |
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## Copyright (C) 1995, 1996, 1997, 1998, 2000, 2002, 2004, 2005, 2006, ## 2007, 2009 Kurt Hornik ## ## This file is part of Octave. ## ## Octave is free software; you can redistribute it and/or modify it ## under the terms of the GNU General Public License as published by ## the Free Software Foundation; either version 3 of the License, or (at ## your option) any later version. ## ## Octave is distributed in the hope that it will be useful, but ## WITHOUT ANY WARRANTY; without even the implied warranty of ## MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU ## General Public License for more details. ## ## You should have received a copy of the GNU General Public License ## along with Octave; see the file COPYING. If not, see ## <http://www.gnu.org/licenses/>. ## -*- texinfo -*- ## @deftypefn {Function File} {} var (@var{x}) ## For vector arguments, return the (real) variance of the values. ## For matrix arguments, return a row vector containing the variance for ## each column. ## ## The argument @var{opt} determines the type of normalization to use. ## Valid values are ## ## @table @asis ## @item 0: ## Normalizes with @math{N-1}, provides the best unbiased estimator of the ## variance [default]. ## @item 1: ## Normalizes with @math{N}, this provides the second moment around the mean. ## @end table ## ## The third argument @var{dim} determines the dimension along which the ## variance is calculated. ## @end deftypefn ## Author: KH <Kurt.Hornik@wu-wien.ac.at> ## Description: Compute variance function retval = var (x, opt, dim) if (nargin < 1 || nargin > 3) print_usage (); endif if (nargin < 3) dim = find (size (x) > 1, 1); if (isempty (dim)) dim = 1; endif endif if (nargin < 2 || isempty (opt)) opt = 0; endif n = size (x, dim); if (n == 1) retval = zeros (sz); elseif (numel (x) > 0) retval = sumsq (center (x, dim), dim) / (n + opt - 1); else error ("var: x must not be empty"); endif endfunction