/usr/share/octave/packages/nan-2.8.1/median.m is in octave-nan 2.8.1-1ubuntu2.
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 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 | function [y]=median(x,DIM)
% MEDIAN data elements,
% [y]=median(x [,DIM])
%
% DIM dimension
% 1: median of columns
% 2: median of rows
% N: median of N-th dimension
% default or []: first DIMENSION, with more than 1 element
%
% features:
% - can deal with NaN's (missing values)
% - accepts dimension argument like in Matlab in Octave, too.
% - compatible to Matlab and Octave
%
% see also: SUMSKIPNAN
% 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: median.m 9033 2011-11-08 20:58:07Z schloegl $
% Copyright (C) 2000-2003,2009 by Alois Schloegl <alois.schloegl@gmail.com>
% This function is part of the NaN-toolbox
% http://pub.ist.ac.at/~schloegl/matlab/NaN/
global FLAG_NANS_OCCURED;
% check dimension of x
sz=size(x);
% find the dimension for median
if nargin<2,
DIM=min(find(sz>1));
if isempty(DIM), DIM=1; end;
end;
if DIM>length(sz),
sz = [sz,ones(1,DIM-length(sz))];
end;
D1 = prod(sz(1:DIM-1));
D2 = sz(DIM);
D3 = prod(sz(DIM+1:length(sz)));
D0 = [sz(1:DIM-1),1,sz(DIM+1:length(sz))];
y = repmat(nan,D0);
flag_MexKthElement = exist('kth_element','file')==3;
for k = 0:D1-1,
for l = 0:D3-1,
xi = k + l * D1*sz(DIM) + 1 ;
xo = k + l * D1 + 1;
t = x(xi+(0:sz(DIM)-1)*D1);
t = t(~isnan(t));
n = length(t);
if n==0,
y(xo) = nan;
elseif flag_MexKthElement,
if (D1==1) t = t+0.0; end; % make sure a real copy (not just a reference to x) is used
flag_KthE = 0; % fast kth_element can be used, because t does not contain any NaN and there is need to care about in-place sorting
if ~rem(n,2),
y(xo) = sum( kth_element( double(t), n/2 + [0,1], flag_KthE) ) / 2;
elseif rem(n,2),
y(xo) = kth_element(double(t), (n+1)/2, flag_KthE);
end;
else
t = sort(t);
if ~rem(n,2),
y(xo) = (t(n/2) + t(n/2+1)) / 2;
elseif rem(n,2),
y(xo) = t((n+1)/2);
end;
end
if (n<D2)
FLAG_NANS_OCCURED = 1;
end;
end;
end;
%!assert(median([1,NaN,3,inf,-inf]),2)
%!assert(median([1,NaN,3,inf,4,-inf]),3)
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