📄 coefficient_of_variation.m
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function cv=coefficient_of_variation(i,DIM)
% COEFFICIENT_OF_VARIATION returns STD(X)/MEAN(X)
%
% cv=coefficient_of_variation(x [,DIM])
% cv=std(x)/mean(x)
%
% see also: SUMSKIPNAN, MEAN, STD
%
% REFERENCE(S):
% http://mathworld.wolfram.com/VariationCoefficient.html
% $Revision: 1.10 $
% $Id: coefficient_of_variation.m,v 1.10 2003/03/13 16:00:34 schloegl Exp $
% Version 1.28 Date: 13 Mar 2003
% Copyright (c) 1997-2003 by Alois Schloegl <a.schloegl@ieee.org>
% 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, write to the Free Software
% Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA
if nargin<2,
DIM=min(find(size(i)>1));
if isempty(DIM), DIM=1; end;
end;
[S,N,SSQ] = sumskipnan(i,DIM);
% sqrt((SSQ-S.*S./N)./max(N-1,0))/(S./N); % = std(i)/mean(i)
cv = sqrt(SSQ.*N./(S.*S)-1);
%if flag_implicit_unbiased_estim,
cv = cv.*sqrt(N./max(N-1,0));
%end;
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