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    Metadata details:
    filename: madc.m
    path of file: ./repos/bspm/thirdparty/corr_toolbox_v2/LIBRA
    
    the code of the file until where you have to start completion: function result=madc(x)

%MADC is a scale estimator given by the Median Absolute Deviation 
% with finite sample correction factor.
% It is defined as 
%           mad(x)= b_n 1.4826 med(|x_i - med(x)|)
% with b_n a small sample correction factor to make the mad unbiased at the
% normal distribution. It can resist 50% outliers. 
% If x is a matrix, the scale estimate is computed on the columns of x. The
% result is then a row vector. If x is a row or a column vector,
% the output is a scalar.
% 
% Required input argument:
%    x: either a data matrix with n observations in rows, p variables in columns
%       or a columnn vector of length n.
% 
% I/O: result=mad(x);
%
% This function is part of LIBRA: the Matlab Library for Robust Analysis,
% available at: 
%              http://wis.kuleuven.be/stat/robust.html
%
% Written by S.Verboven 
% Last revised: 22/12/03 


    
function result=madc(x)

%MADC is a scale estimator given by the Median Absolute Deviation 
% with finite sample correction factor.
% It is defined as 
%           mad(x)= b_n 1.4826 med(|x_i - med(x)|)
% with b_n a small sample correction factor to make the mad unbiased at the
% normal distribution. It can resist 50% outliers. 
% If x is a matrix, the scale estimate is computed on the columns of x. The
% result is then a row vector. If x is a row or a column vector,
% the output is a scalar.
% 
% Required input argument:
%    x: either a data matrix with n observations in rows, p variables in columns
%       or a columnn vector of length n.
% 
% I/O: result=mad(x);
%
% This function is part of LIBRA: the Matlab Library for Robust Analysis,
% available at: 
%              http://wis.kuleuven.be/stat/robust.html
%
% Written by S.Verboven 
% Last revised: 22/12/03 

[n,p]=size(x);

if n==1 & p==1
    result=0;  %when X is a one by one matrix, all scale estimators must be equal to 0
    return
elseif n==1        
    x=x';   %we only want to work with column vectors
    n=p;
    p=1;
end