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📄 var.m

📁 similer program for matlab
💻 M
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## Copyright (C) 1995, 1996, 1997, 1998, 2000, 2002, 2004, 2005, 2006,##               2007 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 variancefunction y = 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  sz = size (x);  if (prod (sz) < 1)    error ("var: x must not be empty");  elseif (sz(dim) == 1)    y = 0;  else    rng = ones (1, length (sz));    rng (dim) = sz (dim);    if (opt == 0)      y = sumsq (x - repmat(mean (x, dim), rng), dim) / (sz(dim) - 1);    else      y = sumsq (x - repmat(mean (x, dim), rng), dim) / sz(dim);    endif  endifendfunction

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