--- /dev/null
+function Z = zScoreMedian(X, DIM)
+% zScoreMedian removes the median and standardizes by the 1.483*median absolute deviation
+%
+% Usage: Z = zScoreMedian(X, DIM)
+% Input: X : data
+% DIM: dimension along which z-score should be calculated (1=columns, 2=rows)
+% (optional, default=first dimension with more than 1 element
+% Output: Z : z-scores
+
+% Copyright (C) 2003 Patrick Houweling
+% Copyright (C) 2009 Alois Schloegl
+% $Id: zScoreMedian.m 8075 2011-01-27 17:10:36Z schloegl $
+% This function is part of the NaN-toolbox
+% http://pub.ist.ac.at/~schloegl/matlab/NaN/
+
+% 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/>.
+
+
+% input checks
+if any(size(X)==0),
+ return;
+end;
+
+% robust moment estimators:
+% - mean: median
+% - standard deviation: 1.483 * median absolute deviation (medAbsDev);
+% the factor 1.483 is the ratio of the standard deviation of a normal random variable to its MAD.
+if nargin<2,
+ [D, M] = medAbsDev(X);
+else
+ [D, M] = medAbsDev(X, DIM);
+end;
+
+% z-score: subtract M and divide by 1.483*D
+Z = (X - repmat(M, size(X)./size(M))) ./ repmat(1.483*D, size(X)./size(D));