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    Metadata details:
    filename: icasso.m
    path of file: ./repos/bspm/thirdparty/MIALAB/GroupICATv4.0a/icatb/toolbox/icasso122
    
    the code of the file until where you have to start completion: function [Iq,A,W,S,sR]=icasso(X,M,varargin)
%function [Iq,A,W,S,sR]=icasso(X,M,['argid1',value1,'argid2',value2,...])
%
%PURPOSE
%
%Demonstrates the basic Icasso procedure: 
%1. Runs FastICA with given parameters M times on data X. in mode
%'both'. See function icassoEst.
%2. Clusters the estimates and computes other statistics: See
%function icassoExp.
%3. Returns (and visualizes) the best estimates. See functions
%icassoResult and icassoShow. 
%
%BASIC USAGE EXAMPLES
%
%Load MEG example dataset. 30 resampling cycles. Reduce
%data dimension to 20: use 'tanh' as FastICA
%nonlinearity. Visualize the results. 
%
%  load megdata; 
%  [iq, A, W, S, sR]=icasso(megdata,30,'g','tanh','lastEig',20);
%
%If you wish to skip the visualization and just return the output

    
function [Iq,A,W,S,sR]=icasso(X,M,varargin)
%function [Iq,A,W,S,sR]=icasso(X,M,['argid1',value1,'argid2',value2,...])
%
%PURPOSE
%
%Demonstrates the basic Icasso procedure: 
%1. Runs FastICA with given parameters M times on data X. in mode
%'both'. See function icassoEst.
%2. Clusters the estimates and computes other statistics: See
%function icassoExp.
%3. Returns (and visualizes) the best estimates. See functions
%icassoResult and icassoShow. 
%
%BASIC USAGE EXAMPLES
%
%Load MEG example dataset. 30 resampling cycles. Reduce
%data dimension to 20: use 'tanh' as FastICA
%nonlinearity. Visualize the results. 
%
%  load megdata; 
%  [iq, A, W, S, sR]=icasso(megdata,30,'g','tanh','lastEig',20);
%
%If you wish to skip the visualization and just return the output
%variables, use 
%
%  [iq, A, W, S, sR]=icasso(megdata,30,'g','tanh','lastEig',20,'vis','off');
%
%INPUT
%
% X    (dxN matrix) data where d=dimension, N=number of vectors 
% M    (scalar) number of randomizations (estimation cycles) 
%
%Optional input arguments are given as argument identifier - value
%pairs: 'identifier1', value1, 'identifier2', value2,... 
%(case insensitive)  
%
% FastICA parameters apply here (see function fastica) 
%
%Default: 
% 'approach', 'symm', 'g', 'pow3', 'maxNumIterations', 100, 'vis', 'basic'
%
%In addition to the FastICA paramters, there is an additional
%argument identifier 'vis': 
%
%'vis' (string) 'basic' (default) | 'off' 
% String 'basic': Visualizes the results. See details in help text
%of function icassoShow, and further in icassoGraph,
%icassoDend