/usr/share/octave/packages/3.2/tsa-4.1.0/histo2.m is in octave-tsa 4.1.0+svn20110501-1.
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 66 67 68 69 70 71 72 73 74 75 76 | function R=histo2(Y)
% HISTO2 calculates histogram of each column
% R=HISTO2(Y)
%
% R=HISTO(...)
% R is a struct with th fields
% R.X are the bin-values
% R.H is the frequency of occurence of value X
% R.N are the number of valid (not NaN) samples
%
% more histogram-based results can be obtained by HIST2RES2
%
% see also: HISTO, HISTO2, HISTO3, HISTO4
%
% REFERENCE(S):
% C.E. Shannon and W. Weaver "The mathematical theory of communication" University of Illinois Press, Urbana 1949 (reprint 1963).
% $Id: histo2.m 5090 2008-06-05 08:12:04Z schloegl $
% Copyright (C) 1996-2002,2008 by Alois Schloegl <a.schloegl@ieee.org>
% This is part of the TSA-toolbox
% http://hci.tugraz.at/~schloegl/matlab/tsa/
%
% 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 3 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/>.
[yr,yc] = size(Y);
if yr==1,
% Makes sure there is a second row
% Sort does not support the DIM-argument, therefore,
% this function would not work correctly with this software
% Once this is fixed, this part can be removed.
Y = [Y; NaN+ones(size(Y))];
end;
sY = sort(Y);
N = sum(~isnan(Y),1);
[ix,iy] = find(diff(sY,1)>0);
nn0 = 0;
warning('off');
for k=1:yc,
tmp = [ix(iy==k); N(k)];
nn1 = length(tmp);
H(1:nn1,k) = diff([0; tmp]);
X(1:nn1,k) = sY(tmp,k);
if nn1<nn0;
H(1+nn1:nn0,k) = NaN;
X(1+nn1:nn0,k) = NaN;
elseif nn1>nn0,
H(1+nn0:nn1,1:k-1) = repmat(NaN,nn1-nn0,k-1);
X(1+nn0:nn1,1:k-1) = repmat(NaN,nn1-nn0,k-1);
nn0 = nn1;
end;
end;
R.datatype = 'HISTOGRAM';
R.H = H;
R.X = X;
R.N = sumskipnan(R.H,1);
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