function [s, cfg] = ft_statfun_mean(cfg, dat, design)

% FT_STATFUN_MEAN demonstrates how to compute the mean over all conditions in the

% data. Since this does NOT depend on the experimental design, it cannot be used for

% testing for differences between conditions.

%

% This function serves as an example for a statfun. You can use such a function with

% the statistical framework in FieldTrip using FT_TIMELOCKSTATISTICS,

% FT_FREQSTATISTICS or FT_SOURCESTATISTICS to perform a statistical test, without

% having to worry about the representation of the data.

%

% See also FT_TIMELOCKSTATISTICS, FT_FREQSTATISTICS or FT_SOURCESTATISTICS, and see FT_STATFUN_DIFF for a similar example

% Copyright (C) 2012, Donders Centre for Cognitive Neuroimaging, Nijmegen, NL

%

% This file is part of FieldTrip, see http://www.fieldtriptoolbox.org

% for the documentation and details.

%

% FieldTrip 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.

%

% FieldTrip 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 FieldTrip. If not, see <http://www.gnu.org/licenses/>.

%

% $Id$

if numel(unique(design(cfg.ivar,:)))>1

ft_warning('inappropriate design, it should only contain one condition');

end

% return the means as the statistic of interest

s.stat = mean(dat,2);