/usr/share/octave/packages/nan-2.5.9/zScoreMedian.m is in octave-nan 2.5.9-1build1.
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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 | 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));
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