/usr/share/octave/packages/nan-2.5.9/center.m is in octave-nan 2.5.9-2.
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 | function [i,S] = center(i,DIM,W)
% CENTER removes the mean
%
% [z,mu] = center(x,DIM,W)
% removes mean x along dimension DIM
%
% x input data
% DIM dimension
% 1: column
% 2: row
% default or []: first DIMENSION, with more than 1 element
% W weights to computed weighted mean (default: [], all weights = 1)
% numel(W) must be equal to size(x,DIM)
%
% features:
% - can deal with NaN's (missing values)
% - weighting of data
% - dimension argument
% - compatible to Matlab and Octave
%
% see also: SUMSKIPNAN, MEAN, STD, DETREND, ZSCORE
%
% REFERENCE(S):
% 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/>.
% $Id: center.m 8223 2011-04-20 09:16:06Z schloegl $
% Copyright (C) 2000-2003,2005,2009 by Alois Schloegl <alois.schloegl@gmail.com>
% This is part of the NaN-toolbox. For more details see
% http://pub.ist.ac.at/~schloegl/matlab/NaN/
if any(size(i)==0); return; end;
if nargin<3,
W = [];
end;
if nargin>1,
[S,N] = sumskipnan(i,DIM,W);
else
[S,N] = sumskipnan(i,[],W);
end;
S = S./N;
szi = size(i);
szs = size(S);
if length(szs)<length(szi);
szs(length(szs)+1:length(szi)) = 1;
end;
i = i - repmat(S,szi./szs); % remove mean
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