📄 rankcorr.m
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function r = rankcorr(X,Y)
% RANKCORR calculated the rank correlation coefficient.
% This function is replaced by CORRCOEF.
% Significance test and confidence intervals can be obtained from CORRCOEF, too.
%
% R = CORRCOEF(X, [Y, ] 'Rank');
%
% The rank correlation r = corrcoef(ranks(x)).
% is often confused with Spearman's rank correlation.
% Spearman's correlation is defined as
% r(x,y) = 1-6*sum((ranks(x)-ranks(y)).^2)/(N*(N*N-1))
% The results are different. Here, the former version is implemented.
%
% see also: CORRCOEF, SPEARMAN, RANKS
%
% REFERENCES:
% [1] http://mathworld.wolfram.com/SpearmanRankCorrelationCoefficient.html
% [2] http://mathworld.wolfram.com/CorrelationCoefficient.html
% $Revision: 1.6 $
% $Id: rankcorr.m,v 1.6 2003/02/28 13:08:57 schloegl Exp $
% Copyright (C) 2000-2003 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
% warning('RANKCORR might become obsolete; use CORRCOEF(ranks(x)) or CORRCOEF(...,''Rank'') instead');
if nargin < 2
r = corrcoef(ranks(X));
else
r = corrcoef(ranks(X),ranks(Y));
end
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