RemoveRetrieveOutli​ers(DataIn)

This file uses Thompson Tau technique to remove outliers from a vector containing statistical data

% Please input your data with any size
%REMOVEOUTLIERS Remove outliers from data using the Thompson Tau method.
% For vectors, REMOVEOUTLIERS(DataIn) removes the elements in Input data that
% are considered outliers as defined by the Thompson Tau method. This
% applies to any data vectors greater than three elements in length, with
% no upper limit (other than that of the machine running the script).
% Additionally, the Input can be with any size of vectors, it calculate
% the outliers fir each column separately.
% Additionally, the output is the original data in the original order and
% the Oulier elements are placed with Nan.
% Also, the second output is Outliers, which shows you the removed outliers.
% Example: If DataIn =[1,1;34,0;35,35;35,35;33,33;34,34;160,160;38,38;35,35;95,35;36,36;150,150;39,39;41,41;42,40;0,0;200,200];
%
% then RemoveRetrieveOutliers(DataIn) will return these vectors:
% Example: If DataIn =[1,1;34,3;35,35;35,35;33,33;34,34;160,160;38,38;35,35;95,35;36,36;150,150;39,39;41,41;42,40;3,3;200,200];
%
% then RemoveRetrieveOutliers(DataIn) will return these vectors:
% FinalDataOut=[NaN,NaN;34,NaN;35,35;35,35;33,33;34,34;NaN,NaN;38,38;35,35;NaN,35;36,36;NaN,NaN;39,39;41,41;42,40;NaN,NaN;NaN,NaN]
% Outliers=[200;160;150;95;1;3;200;160;150;1;3;3]
% See also MEDIAN, STD, MIN, MAX, VAR, COV, MODE.