/usr/share/octave/packages/3.2/statistics-1.0.10/nanvar.m is in octave-statistics 1.0.10-1.
This file is owned by root:root, with mode 0o644.
The actual contents of the file can be viewed below.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 | # Copyright (C) 2008 Sylvain Pelissier <sylvain.pelissier@gmail.com>
##
## This program 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 2 of the License, or
## (at your option) any later version.
##
## This program 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 this program; If not, see <http://www.gnu.org/licenses/>.
## -*- texinfo -*-
## @deftypefn {Function File} {} nanvar (@var{x})
## @deftypefnx{Function File} {@var{v} =} nanvar (@var{X}, @var{opt})
## @deftypefnx{Function File} {@var{v} =} nanvar (@var{X}, @var{opt}, @var{dim})
## Compute the variance while ignoring NaN values.
##
## 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.
##
## @seealso{var, nanmean, nanstd, nanmax, nanmin}
## @end deftypefn
function y = nanvar(x,w,dim)
if nargin < 1
print_usage ();
else
if ((nargin < 2) || isempty(w))
w = 0;
endif
if nargin < 3
dim = min(find(size(x)>1));
if isempty(dim)
dim=1;
endif
endif
y = nanstd(x,w,dim).^2;
endif
endfunction
## Tests
%!shared x
%! x = [1 2 nan 3 4 5];
%!assert (nanvar (x), var (x(! isnan (x))), 10*eps)
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