imputeNaNsInLoop_exampleForKaren.m

% imputeNaNsInLoop_exampleForKaren.m
% ------------------------------------
% Blair - January 23, 2017
%
% Example script on how you would impute missing values in a
% channels-by-time data matrix with 125-channel data.
%
% The script will run the imputation function multiple times (in a loop)
%
% Requires: imputeAllNaN125.m (function) and neighboringElectrodes125.mat

% This software is licensed under the 3-Clause BSD License (New BSD License), 
% as follows:
% -------------------------------------------------------------------------
% Copyright 2017 Blair Kaneshiro
% 
% Redistribution and use in source and binary forms, with or without
% modification, are permitted provided that the following conditions are met:
% 
% 1. Redistributions of source code must retain the above copyright notice, 
% this list of conditions and the following disclaimer.
% 
% 2. Redistributions in binary form must reproduce the above copyright notice, 
% this list of conditions and the following disclaimer in the documentation 
% and/or other materials provided with the distribution.
% 
% 3. Neither the name of the copyright holder nor the names of its 
% contributors may be used to endorse or promote products derived from this 
% software without specific prior written permission.
% 
% THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS ?AS IS?
% AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE 
% IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE 
% ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE 
% LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR 
% CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF 
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% ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE 
% POSSIBILITY OF SUCH DAMAGE.

% Assume you have a variable called 'x', which is the channels-by-time
% matrix, 125 channels (rows), with some NaNs in the matrix.
x;

% Initialize a counter just in case the imputation does not converge in a
% certain number of steps
c = 1;
maxIter = 5;

%impute missing values
while(length(find(isnan(x)))) > 0
    disp(['Imputing NaNs; attempt ' num2str(c)])
    x = imputeAllNaN125(x, 1);
    if c > maxIter
        disp(['Not converging!'])
        break
    end
    c = c + 1;
end