📄 histo.m
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function [H,X]=histo(Y,Mode)% HISTO calculates histogram for each column
% [H,X] = HISTO(Y,Mode)% % Mode
% 'rows' : frequency of each row
% '1x' : single bin-values
% 'nx' : separate bin-values for each column
% X are the bin-values % H is the frequency of occurence of value X %
% HISTO(Y) with no output arguments:% plots the histogram bar(X,H)%% 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).% V 3.00 9.11.2002 compression included
% Version 3.00 Date: 09 Nov 2002% Copyright (C) 1996-2002 by Alois Schloegl <a.schloegl@ieee.org> % This library is free software; you can redistribute it and/or% modify it under the terms of the GNU Library General Public% License as published by the Free Software Foundation; either% Version 2 of the License, or (at your option) any later version.%% This library 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% Library General Public License for more details.%% You should have received a copy of the GNU Library General Public% License along with this library; if not, write to the% Free Software Foundation, Inc., 59 Temple Place - Suite 330,% Boston, MA 02111-1307, USA.
if nargin<2,
Mode='1x';
end;
Mode=lower(Mode);
if strcmp(Mode,'rows')
R = histo4(Y);
elseif strcmp(Mode,'column')
R = histo4(Y');
R.X = R.X';
elseif strcmp(Mode,'1x')
R = histo3(Y);
elseif strcmp(Mode,'nx')
R = histo2(Y);
end;
H = R.H;X = R.X;if nargout == 0, if any(size(X)==1),
if exist('OCTAVE_VERSION')<5, bar(R.X,R.H,'stacked'); else bar(R.X,R.H); end else
warning('2-dim X-values not supported\n') %bar3(R.X,R.H); end;
end;
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