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ft_appendsource.m
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ft_appendsource.m
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function [source] = ft_appendsource(cfg, varargin)
% FT_APPENDSOURCE concatenates multiple volumetric source reconstruction
% data structures that have been processed seperately.
%
% If the source reconstructions were computed for different ROIs or
% different slabs of a regular 3D grid (as indicated by the source
% positions), the data will be concatenated along the spatial dimension.
%
% If the source reconstructions were computed on the same source
% positions, but for different frequencies and/or latencies, e.g. for
% time-frequency spectrally decomposed data, the data will be concatenared
% along the frequency and/or time dimension.
%
% Use as
% combined = ft_appendsource(cfg, source1, source2, ...)
%
% See also FT_SOURCEANALYSIS, FT_APPENDDATA, FT_APPENDFREQ, FT_APPENDSOURCE
% Copyright (C) 2011, Robert Oostenveld
%
% This file is part of FieldTrip, see http://www.ru.nl/neuroimaging/fieldtrip
% 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/>.
%
% $Id$
revision = '$Id$';
% do the general setup of the function
ft_defaults
ft_preamble init
ft_preamble debug
ft_preamble loadvar varargin
ft_preamble provenance varargin
ft_preamble trackconfig
% the abort variable is set to true or false in ft_preamble_init
if abort
return
end
% check if the input data is valid for this function
for i=1:length(varargin)
varargin{i} = ft_checkdata(varargin{i}, 'datatype', 'source', 'feedback', 'yes', 'hassampleinfo', 'ifmakessense');
end
% check if the input cfg is valid for this function
cfg = ft_checkconfig(cfg, 'required', 'parameter');
% set the defaults
cfg.appenddim = ft_getopt(cfg, 'appenddim', 'auto');
cfg.tolerance = ft_getopt(cfg, 'tolerance', 1e-5);
% do a basic check to see whether the dimords match
Ndata = length(varargin);
dimord = cell(1,Ndata);
for i=1:Ndata
dimord{i} = getdimord(varargin{i}, cfg.parameter);
end
dimordmatch = all(strcmp(dimord{1}, dimord));
if ~dimordmatch
error('the dimords of the input data structures are not equal');
end
% create the output structure from scratch
source = [];
tol = cfg.tolerance;
dimtok = tokenize(dimord{1}, '_');
switch cfg.appenddim
case 'auto'
% only allow to append across observations if these are present in the data
if any(strcmp(dimtok, 'rpt'))
cfg.appenddim = 'rpt';
elseif any(strcmp(dimtok, 'rpttap'))
cfg.appenddim = 'rpttap';
elseif any(strcmp(dimtok, 'subj'))
cfg.appenddim = 'subj';
else
% we need to check whether the other dimensions are the same.
% if not, consider some tolerance.
boolval1 = checkpos(varargin{:}, 'identical');
if isfield(varargin{1}, 'freq'),
boolval2 = checkfreq(varargin{:}, 'identical', tol);
else
boolval2 = true;
end
if isfield(varargin{1}, 'time'),
boolval3 = checktime(varargin{:}, 'identical', tol);
if boolval1 && boolval2 && boolval3
% each of the input datasets contains a single repetition (perhaps an average), these can be concatenated
cfg.appenddim = 'rpt';
elseif ~boolval1 && boolval2 && boolval3
cfg.appenddim = 'pos';
elseif boolval1 && ~boolval2 && boolval3
cfg.appenddim = 'freq';
elseif boolval1 && boolval2 && ~boolval3
cfg.appenddim = 'time';
else
error('the input datasets have multiple non-identical dimensions, this function only appends one dimension at a time');
end
else
if boolval1 && boolval2
% each of the input datasets contains a single repetition (perhaps an average), these can be concatenated
cfg.appenddim = 'rpt';
elseif ~boolval1 && boolval2
cfg.appenddim = 'pos';
elseif boolval1 && ~boolval2
cfg.appenddim = 'freq';
end
end
end % determine the dimension for appending
end
switch cfg.appenddim
case {'rpt' 'rpttap' 'subj'}
catdim = find(ismember(dimtok, {'rpt' 'rpttap' 'subj'}));
if numel(catdim)==0
catdim = 0;
elseif numel(catdim)==1
% this is OK
elseif numel(catdim)>1
error('ambiguous dimord for concatenation');
end
% if any of these are present, concatenate
% if not prepend the dimord with rpt (and thus shift the dimensions)
% here we need to check whether the other dimensions are the same. if
% not, consider some tolerance.
boolval1 = checkpos(varargin{:}, 'identical', tol);
if isfield(varargin{1}, 'freq'),
boolval2 = checkfreq(varargin{:}, 'identical', tol);
else
boolval2 = true;
end
if isfield(varargin{1}, 'time'),
boolval3 = checktime(varargin{:}, 'identical', tol);
else
boolval3 = true;
end
if any([boolval1 boolval2 boolval3]==false)
error('appending across observations is not possible, because the spatial, spectral and/or temporal dimensions are incompatible');
end
% select and reorder the channels that are in every dataset
tmpcfg = [];
%tmpcfg.channel = cfg.channel;
tmpcfg.tolerance = cfg.tolerance;
[varargin{:}] = ft_selectdata(tmpcfg, varargin{:});
for i=1:Ndata
[cfg_rolledback, varargin{i}] = rollback_provenance(cfg, varargin{i});
end
cfg = cfg_rolledback;
% update the dimord
if catdim==0
source.dimord = ['rpt_',dimord{1}];
% FIXME append dof
else
source.dimord = dimord{1};
% before append cumtapcnt cumsumcnt trialinfo check if there's a
% subfield in each dataset. Append fields of different dataset might
% lead in empty and/or non-existing fields in a particular dataset
hascumsumcnt = [];
hascumtapcnt = [];
hastrialinfo = [];
for i=1:Ndata
if isfield(varargin{i},'cumsumcnt');
hascumsumcnt(end+1) = 1;
else
hascumsumcnt(end+1) = 0;
end
if isfield(varargin{i},'cumtapcnt');
hascumtapcnt(end+1) = 1;
else
hascumtapcnt(end+1) = 0;
end
if isfield(varargin{i},'trialinfo');
hastrialinfo(end+1) = 1;
else
hastrialinfo(end+1) = 0;
end
end
% screen concatenable fields
if ~checkfreq(varargin{:}, 'identical', tol)
error('the freq fields of the input data structures are not equal');
else
source.freq=varargin{1}.freq;
end
if ~sum(hascumsumcnt)==0 && ~(sum(hascumsumcnt)==Ndata);
error('the cumsumcnt fields of the input data structures are not equal');
else
iscumsumcnt=unique(hascumsumcnt);
end
if ~sum(hascumtapcnt)==0 && ~(sum(hascumtapcnt)==Ndata);
error('the cumtapcnt fields of the input data structures are not equal');
else
iscumtapcnt=unique(hascumtapcnt);
end
if ~sum(hastrialinfo)==0 && ~(sum(hastrialinfo)==Ndata);
error('the trialinfo fields of the input data structures are not equal');
else
istrialinfo=unique(hastrialinfo);
end
% concatenating fields
for i=1:Ndata;
if iscumsumcnt;
cumsumcnt{i}=varargin{i}.cumsumcnt;
end
if iscumtapcnt;
cumtapcnt{i}=varargin{i}.cumtapcnt;
end
if istrialinfo;
trialinfo{i}=varargin{i}.trialinfo;
end
end
% fill in the rest of the descriptive fields
if iscumsumcnt;
source.cumsumcnt = cat(catdim,cumsumcnt{:});
clear cumsumcnt;
end
if iscumtapcnt;
source.cumtapcnt = cat(catdim,cumtapcnt{:});
clear cumtapcnt;
end
if istrialinfo;
source.trialinfo = cat(catdim,trialinfo{:});
clear trialinfo;
end
end
source.pos = varargin{1}.pos;
if isfield(varargin{1}, 'freq'), source.freq = varargin{1}.freq; end
if isfield(varargin{1}, 'time'), source.time = varargin{1}.time; end
if isfield(varargin{1}, 'tri'), source.tri = varargin{1}.tri; end
case 'pos'
% FIXME
error('this functionality does not work.....yet');
case 'freq'
% FIXME
error('this functionality does not work.....yet');
case 'time'
% FIXME
error('this functionality does not work.....yet');
otherwise
error('it is not allowed to concatenate across dimension %s',cfg.appenddim);
end
param = cfg.parameter;
if iscell(param) && numel(param)>1
error('it is not possible yet to append multiple parameters in a single call');
elseif iscell(param)
param = param{1};
end
% concatenate the numeric data
tmp = cell(1,Ndata);
% get the numeric data 'param{k}' if present
for m = 1:Ndata
if ~isfield(varargin{m}, param)
error('parameter %s is not present in all data sets', param);
end
tmp{m} = varargin{m}.(param);
end
if catdim==0,
ndim = length(size(tmp{1}));
source.(param) = permute(cat(ndim+1,tmp{:}),[ndim+1 1:ndim]);
else
source.(param) = cat(catdim,tmp{:});
end
% do the general cleanup and bookkeeping at the end of the function
ft_postamble debug
ft_postamble trackconfig
ft_postamble previous varargin
ft_postamble provenance source
ft_postamble history source
ft_postamble savevar source