forked from sccn/eeglab
-
Notifications
You must be signed in to change notification settings - Fork 0
/
eeglab.m
2121 lines (1912 loc) · 112 KB
/
eeglab.m
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
349
350
351
352
353
354
355
356
357
358
359
360
361
362
363
364
365
366
367
368
369
370
371
372
373
374
375
376
377
378
379
380
381
382
383
384
385
386
387
388
389
390
391
392
393
394
395
396
397
398
399
400
401
402
403
404
405
406
407
408
409
410
411
412
413
414
415
416
417
418
419
420
421
422
423
424
425
426
427
428
429
430
431
432
433
434
435
436
437
438
439
440
441
442
443
444
445
446
447
448
449
450
451
452
453
454
455
456
457
458
459
460
461
462
463
464
465
466
467
468
469
470
471
472
473
474
475
476
477
478
479
480
481
482
483
484
485
486
487
488
489
490
491
492
493
494
495
496
497
498
499
500
501
502
503
504
505
506
507
508
509
510
511
512
513
514
515
516
517
518
519
520
521
522
523
524
525
526
527
528
529
530
531
532
533
534
535
536
537
538
539
540
541
542
543
544
545
546
547
548
549
550
551
552
553
554
555
556
557
558
559
560
561
562
563
564
565
566
567
568
569
570
571
572
573
574
575
576
577
578
579
580
581
582
583
584
585
586
587
588
589
590
591
592
593
594
595
596
597
598
599
600
601
602
603
604
605
606
607
608
609
610
611
612
613
614
615
616
617
618
619
620
621
622
623
624
625
626
627
628
629
630
631
632
633
634
635
636
637
638
639
640
641
642
643
644
645
646
647
648
649
650
651
652
653
654
655
656
657
658
659
660
661
662
663
664
665
666
667
668
669
670
671
672
673
674
675
676
677
678
679
680
681
682
683
684
685
686
687
688
689
690
691
692
693
694
695
696
697
698
699
700
701
702
703
704
705
706
707
708
709
710
711
712
713
714
715
716
717
718
719
720
721
722
723
724
725
726
727
728
729
730
731
732
733
734
735
736
737
738
739
740
741
742
743
744
745
746
747
748
749
750
751
752
753
754
755
756
757
758
759
760
761
762
763
764
765
766
767
768
769
770
771
772
773
774
775
776
777
778
779
780
781
782
783
784
785
786
787
788
789
790
791
792
793
794
795
796
797
798
799
800
801
802
803
804
805
806
807
808
809
810
811
812
813
814
815
816
817
818
819
820
821
822
823
824
825
826
827
828
829
830
831
832
833
834
835
836
837
838
839
840
841
842
843
844
845
846
847
848
849
850
851
852
853
854
855
856
857
858
859
860
861
862
863
864
865
866
867
868
869
870
871
872
873
874
875
876
877
878
879
880
881
882
883
884
885
886
887
888
889
890
891
892
893
894
895
896
897
898
899
900
901
902
903
904
905
906
907
908
909
910
911
912
913
914
915
916
917
918
919
920
921
922
923
924
925
926
927
928
929
930
931
932
933
934
935
936
937
938
939
940
941
942
943
944
945
946
947
948
949
950
951
952
953
954
955
956
957
958
959
960
961
962
963
964
965
966
967
968
969
970
971
972
973
974
975
976
977
978
979
980
981
982
983
984
985
986
987
988
989
990
991
992
993
994
995
996
997
998
999
1000
% eeglab() - Matlab graphic user interface environment for
% electrophysiological data analysis incorporating the ICA/EEG toolbox
% (Makeig et al.) developed at CNL / The Salk Institute, 1997-2001.
% Released 11/2002- as EEGLAB (Delorme, Makeig, et al.) at the Swartz Center
% for Computational Neuroscience, Institute for Neural Computation,
% University of California San Diego (http://sccn.ucsd.edu/).
% User feedback welcome: email [email protected]
%
% Authors: Arnaud Delorme and Scott Makeig, with substantial contributions
% from Colin Humphries, Sigurd Enghoff, Tzyy-Ping Jung, plus
% contributions
% from Tony Bell, Te-Won Lee, Luca Finelli and many other contributors.
%
% Description:
% EEGLAB is Matlab-based software for processing continuous or event-related
% EEG or other physiological data. It is designed for use by both novice and
% expert Matlab users. In normal use, the EEGLAB graphic interface calls
% graphic functions via pop-up function windows. The EEGLAB history mechanism
% can save the resulting Matlab calls to disk for later incorporation into
% Matlab scripts. A single data structure ('EEG') containing all dataset
% parameters may be accessed and modified directly from the Matlab commandline.
% EEGLAB now recognizes "plugins," sets of EEGLAB functions linked to the EEGLAB
% main menu through an "eegplugin_[name].m" function (Ex. >> help eeplugin_besa.m).
%
% Usage: 1) To (re)start EEGLAB, type
% >> eeglab % Ignores any loaded datasets
% 2) To redaw and update the EEGLAB interface, type
% >> eeglab redraw % Scans for non-empty datasets
% >> eeglab rebuild % Closes and rebuilds the EEGLAB window
% >> eeglab versions % State EEGLAB version number
%
% >> type "eeglablicense.txt" % the EEGLAB open source license
% >> web http://eeglab.org % the EEGLAB tutorial
% >> help eeg_checkset % the EEG dataset structure
%
% GUI Functions calling eponymous processing and plotting functions:
% ------------------------------------------------------------------
% <a href="matlab:helpwin pop_eegfilt">pop_eegfilt</a> - bandpass filter data (eegfilt())
% <a href="matlab:helpwin pop_eegplot">pop_eegplot</a> - scrolling multichannel data viewer (eegplot())
% <a href="matlab:helpwin pop_eegthresh">pop_eegthresh</a> - simple thresholding method (eegthresh())
% <a href="matlab:helpwin pop_envtopo">pop_envtopo</a> - plot ERP data and component contributions (envtopo())
% <a href="matlab:helpwin pop_epoch">pop_epoch</a> - extract epochs from a continuous dataset (epoch())
% <a href="matlab:helpwin pop_erpimage">pop_erpimage</a> - plot single epochs as an image (erpimage())
% <a href="matlab:helpwin pop_jointprob">pop_jointprob</a> - reject epochs using joint probability (jointprob())
% <a href="matlab:helpwin pop_loadbva">pop_loadbva</a> - load Brain Vision Analyser matlab files
% <a href="matlab:helpwin pop_plotdata">pop_plotdata</a> - plot data epochs in rectangular array (plotdata())
% <a href="matlab:helpwin pop_readegi">pop_readegi</a> - load binary EGI data file (readegi())
% <a href="matlab:helpwin pop_rejkurt">pop_rejkurt</a> - compute data kurtosis (rejkurt())
% <a href="matlab:helpwin pop_rejtrend">pop_rejtrend</a> - reject EEG epochs showing linear trends (rejtrend())
% <a href="matlab:helpwin pop_resample">pop_resample</a> - change data sampling rate (resample())
% <a href="matlab:helpwin pop_rmbase">pop_rmbase</a> - remove epoch baseline (rmbase())
% <a href="matlab:helpwin pop_runica">pop_runica</a> - run infomax ICA decomposition (runica())
% <a href="matlab:helpwin pop_newtimef">pop_newtimef</a> - event-related time-frequency (newtimef())
% <a href="matlab:helpwin pop_timtopo">pop_timtopo</a> - plot ERP and scalp maps (timtopo())
% <a href="matlab:helpwin pop_topoplot">pop_topoplot</a> - plot scalp maps (topoplot())
% <a href="matlab:helpwin pop_snapread">pop_snapread</a> - read Snapmaster .SMA files (snapread())
% <a href="matlab:helpwin pop_newcrossf">pop_newcrossf</a> - event-related cross-coherence (newcrossf())
% <a href="matlab:helpwin pop_spectopo">pop_spectopo</a> - plot all channel spectra and scalp maps (spectopo())
% <a href="matlab:helpwin pop_plottopo">pop_plottopo</a> - plot a data epoch in a topographic array (plottopo())
% <a href="matlab:helpwin pop_readedf">pop_readedf</a> - read .EDF EEG data format (readedf())
% <a href="matlab:helpwin pop_headplot">pop_headplot</a> - plot a 3-D data scalp map (headplot())
% <a href="matlab:helpwin pop_reref">pop_reref</a> - re-reference data (reref())
% <a href="matlab:helpwin pop_signalstat">pop_signalstat</a> - plot signal or component statistic (signalstat())
%
% Other GUI functions:
% -------------------
% <a href="matlab:helpwin pop_chanevent">pop_chanevent</a> - import events stored in data channel(s)
% <a href="matlab:helpwin pop_comments">pop_comments</a> - edit dataset comment ('about') text
% <a href="matlab:helpwin pop_compareerps">pop_compareerps</a> - compare two dataset ERPs using plottopo()
% <a href="matlab:helpwin pop_prop">pop_prop</a> - plot channel or component properties (erpimage, spectra, map)
% <a href="matlab:helpwin pop_copyset">pop_copyset</a> - copy dataset
% <a href="matlab:helpwin pop_dispcomp">pop_dispcomp</a> - display component scalp maps with reject buttons
% <a href="matlab:helpwin pop_editeventfield">pop_editeventfield</a> - edit event fields
% <a href="matlab:helpwin pop_editeventvals">pop_editeventvals</a> - edit event values
% <a href="matlab:helpwin pop_editset">pop_editset</a> - edit dataset information
% <a href="matlab:helpwin pop_export">pop_export</a> - export data or ica activity to ASCII file
% <a href="matlab:helpwin pop_expica">pop_expica</a> - export ica weights or inverse matrix to ASCII file
% <a href="matlab:helpwin pop_icathresh">pop_icathresh</a> - choose rejection thresholds (in development)
% <a href="matlab:helpwin pop_importepoch">pop_importepoch</a> - import epoch info ASCII file
% <a href="matlab:helpwin pop_importevent">pop_importevent</a> - import event info ASCII file
% <a href="matlab:helpwin pop_importpres">pop_importpres</a> - import Presentation info file
% <a href="matlab:helpwin pop_importev2">pop_importev2</a> - import Neuroscan ev2 file
% <a href="matlab:helpwin pop_loadset">pop_loadset</a> - load dataset
% <a href="matlab:helpwin pop_mergeset">pop_mergeset</a> - merge two datasets
% <a href="matlab:helpwin pop_rejepoch">pop_rejepoch</a> - reject pre-identified epochs in a EEG dataset
% <a href="matlab:helpwin pop_rejspec">pop_rejspec</a> - reject based on spectrum (computes spectrum -% eegthresh)
% <a href="matlab:helpwin pop_saveh">pop_saveh</a> - save EEGLAB command history
% <a href="matlab:helpwin pop_saveset">pop_saveset</a> - save dataset
% <a href="matlab:helpwin pop_select">pop_select</a> - select data (epochs, time points, channels ...)
% <a href="matlab:helpwin pop_selectevent">pop_selectevent</a> - select events
% <a href="matlab:helpwin pop_subcomp">pop_subcomp</a> - subtract components from data
%
% Non-GUI functions use for handling the EEG structure:
% ----------------------------------------------------
% <a href="matlab:helpwin eeg_checkset">eeg_checkset</a> - check dataset parameter consistency
% <a href="matlab:helpwin eeg_context">eeg_context</a> - return info about events surrounding given events
% <a href="matlab:helpwin pop_delset">pop_delset</a> - delete dataset
% <a href="matlab:helpwin pop_editoptions">pop_editoptions</a> - edit the option file
% <a href="matlab:helpwin eeg_emptyset">eeg_emptyset</a> - empty dataset
% <a href="matlab:helpwin eeg_epochformat">eeg_epochformat</a> - convert epoch array to structure
% <a href="matlab:helpwin eeg_eventformat">eeg_eventformat</a> - convert event array to structure
% <a href="matlab:helpwin eeg_getepochevent">eeg_getepochevent</a> - return event values for a subset of event types
% <a href="matlab:helpwin eeg_global">eeg_global</a> - global variables
% <a href="matlab:helpwin eeg_multieegplot">eeg_multieegplot</a> - plot several rejections (using different colors)
% <a href="matlab:helpwin eeg_options">eeg_options</a> - option file
% <a href="matlab:helpwin eeg_rejsuperpose">eeg_rejsuperpose</a> - use by rejmenu to superpose all rejections
% <a href="matlab:helpwin eeg_rejmacro">eeg_rejmacro</a> - used by all rejection functions
% <a href="matlab:helpwin pop_rejmenu">pop_rejmenu</a> - rejection menu (with all rejection methods visible)
% <a href="matlab:helpwin eeg_retrieve">eeg_retrieve</a> - retrieve dataset from ALLEEG
% <a href="matlab:helpwin eeg_store">eeg_store</a> - store dataset into ALLEEG
%
% Help functions:
% --------------
% <a href="matlab:helpwin eeg_helpadmin">eeg_helpadmin</a> - help on admin function
% <a href="matlab:helpwin eeg_helphelp">eeg_helphelp</a> - help on help
% <a href="matlab:helpwin eeg_helpmenu">eeg_helpmenu</a> - EEG help menus
% <a href="matlab:helpwin eeg_helppop">eeg_helppop</a> - help on pop_ and eeg_ functions
% <a href="matlab:helpwin eeg_helpsigproc">eeg_helpsigproc</a> - help on
% Copyright (C) 2001 Arnaud Delorme and Scott Makeig, Salk Institute,
%
% Copyright (C) 2001 Arnaud Delorme, SCCN/INC/UCSD, [email protected]
%
% This file is part of EEGLAB, see http://www.eeglab.org
% for the documentation and details.
%
% 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.
%
% 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
% SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS
% INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN
% CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE)
% ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF
% THE POSSIBILITY OF SUCH DAMAGE.
function varargout = eeglab( onearg )
ver = version;
if strcmpi(ver, '9.4.0.813654 (R2018a)')
disp('Link to install <a href="https://www.mathworks.com/downloads/web_downloads/download_update?release=R2018a&s_tid=ebrg_R2018a_2_1757132">2018a Update 2</a>');
errordlg( [ 'You are running Matlab version R2018a, which has important bugs' 10 'Matlab crashes when running EEGLAB in this version of Matlab' 10 'Install 2018a Update 2 to fix the issue (link on the command line)' ]);
end
if nargout > 0
varargout = { [] [] 0 {} [] };
end
% check Matlab version
% --------------------
vers = version;
indp = find(vers == '.');
if str2num(vers(indp(1)+1)) > 1, vers = [ vers(1:indp(1)) '0' vers(indp(1)+1:end) ]; end
indp = find(vers == '.');
vers = str2num(vers(1:indp(2)-1));
tmpv = which('version');
if ~isempty(findstr(lower(tmpv), 'biosig'))
[tmpp tmp] = fileparts(tmpv);
rmpath(tmpp);
end
% remove freemat folder if it exist
tmpPath = fileparts(fileparts(which('sread')));
newPath = fullfile(tmpPath, 'maybe-missing', 'freemat3.5');
if exist(newPath) == 7
warning('off', 'MATLAB:rmpath:DirNotFound');
rmpath(newPath)
warning('on', 'MATLAB:rmpath:DirNotFound');
end
if ismatlab && vers < 7
tmpWarning = warning('query', 'backtrace');
warning('off', 'backtrace');
warning('This Matlab version is too old to run the current EEGLAB');
warning('Download EEGLAB 4.3b at http://sccn.ucsd.edu/eeglab/eeglab4.5b.teaching.zip');
warning('This version of EEGLAB is compatible with all Matlab version down to Matlab 5.3');
warning(tmpWarning.state, 'backtrace');
return;
end
if ismatlab && vers < 7.06
tmpWarning = warning('query','backtrace');
warning off backtrace;
warning('You are using a Matlab version older than 7.6 (2008a)');
warning('Some of the EEGLAB functions might not be functional');
warning('Download EEGLAB 4.3b at http://sccn.ucsd.edu/eeglab/eeglab4.5b.teaching.zip');
warning('This version of EEGLAB is compatible with all Matlab version down to Matlab 5.3');
warning( tmpWarning.state, 'backtrace');
end
if ~ismatlab
warning('off', 'Octave:abbreviated-property-match');
warning('off', 'backtrace');
warning('off', 'Octave:divide-by-zero');
try
pkg load statistics
catch
warning('Statistics module not found - type "pkg install -forge io" then "pkg install -forge statistics" to install it');
end
try
pkg load signal
catch
warning('Signal processing module not found - type "pkg install -forge control" then "pkg install -forge signal" to install it');
end
end
% check for duplicate versions of EEGLAB
% --------------------------------------
eeglabpath = mywhich('eeglab.m');
eeglabpath = eeglabpath(1:end-length('eeglab.m'));
if nargin < 1 && ~isdeployed
eeglabpath2 = '';
if strcmpi(eeglabpath, pwd) || strcmpi(eeglabpath(1:end-1), pwd)
cd('functions');
warning('off', 'MATLAB:rmpath:DirNotFound');
rmpath(eeglabpath);
warning('on', 'MATLAB:rmpath:DirNotFound');
eeglabpath2 = mywhich('eeglab.m');
cd('..');
else
try, rmpath(eeglabpath); catch, end
eeglabpath2 = mywhich('eeglab.m');
end
if ~isempty(eeglabpath2)
%evalin('base', 'clear classes updater;'); % this clears all the variables
eeglabpath2 = eeglabpath2(1:end-length('eeglab.m'));
tmpWarning = warning('query', 'backtrace');
warning off backtrace;
disp('******************************************************');
warning('There are at least two versions of EEGLAB in your path');
warning(sprintf('One is at %s', eeglabpath));
warning(sprintf('The other one is at %s', eeglabpath2));
warning(tmpWarning.state, 'backtrace');
end
addpath(eeglabpath);
end
% add the paths
% -------------
if strcmpi(eeglabpath, './') || strcmpi(eeglabpath, '.\'), eeglabpath = [ pwd filesep ]; end
% solve BIOSIG problem
% --------------------
pathtmp = mywhich('wilcoxon_test');
if ~isempty(pathtmp)
try,
rmpath(pathtmp(1:end-15));
catch, end
end
% test for local SCCN copy
% ------------------------
if ~isdeployed
addpathifnotinlist(eeglabpath);
if exist( fullfile( eeglabpath, 'functions', 'adminfunc') ) ~= 7
warning('EEGLAB subfolders not found');
end
end
% determine file format
% ---------------------
fileformat = 'maclinux';
comp = computer;
try
if strcmpi(comp(1:3), 'GLN') || strcmpi(comp(1:3), 'MAC') || strcmpi(comp(1:3), 'SOL')
fileformat = 'maclinux';
elseif strcmpi(comp(1:5), 'pcwin')
fileformat = 'pcwin';
end
end
% add paths
% ---------
if ~isdeployed
tmp = which('eeglab_data.set');
if ~isempty(which('eeglab_data.set')) && ~isempty(which('Standard-10-10-Cap47.ced'))
tmpWarning = warning('query', 'backtrace');
warning off backtrace;
warning(sprintf([ '\n\nPath Warning: It appears that you have added the path to all of the\n' ...
'subfolders to EEGLAB. This may create issues with some EEGLAB extensions\n' ...
'If EEGLAB cannot start or your experience a large number of warning\n' ...
'messages, remove all the EEGLAB paths then go to the EEGLAB folder\n' ...
'and start EEGLAB which will add all the necessary paths.\n\n' ]));
warning(tmpWarning.state, 'backtrace');
foldertorm = fileparts(which('fgetl.m'));
if ~isempty(strfind(foldertorm, 'eeglab'))
rmpath(foldertorm);
end
foldertorm = fileparts(which('strjoin.m'));
if ~isempty(strfind(foldertorm, 'eeglab'))
rmpath(foldertorm);
end
end
myaddpath( eeglabpath, 'eeg_checkset.m', [ 'functions' filesep 'adminfunc' ]);
myaddpath( eeglabpath, 'eeg_checkset.m', [ 'functions' filesep 'adminfunc' ]);
myaddpath( eeglabpath, ['@mmo' filesep 'mmo.m'], 'functions');
myaddpath( eeglabpath, 'readeetraklocs.m', [ 'functions' filesep 'sigprocfunc' ]);
myaddpath( eeglabpath, 'supergui.m', [ 'functions' filesep 'guifunc' ]);
myaddpath( eeglabpath, 'pop_study.m', [ 'functions' filesep 'studyfunc' ]);
myaddpath( eeglabpath, 'pop_loadbci.m', [ 'functions' filesep 'popfunc' ]);
myaddpath( eeglabpath, 'statcond.m', [ 'functions' filesep 'statistics' ]);
myaddpath( eeglabpath, 'timefreq.m', [ 'functions' filesep 'timefreqfunc' ]);
myaddpath( eeglabpath, 'icademo.m', [ 'functions' filesep 'miscfunc' ]);
myaddpath( eeglabpath, 'eeglab1020.ced', [ 'functions' filesep 'supportfiles' ]);
myaddpath( eeglabpath, 'startpane.m', [ 'functions' filesep 'javachatfunc' ]);
addpathifnotinlist(fullfile(eeglabpath, 'plugins'));
eeglab_options;
% remove path to to fmrlab if neceecessary
path_runica = fileparts(mywhich('runica'));
if length(path_runica) > 6 && strcmpi(path_runica(end-5:end), 'fmrlab')
rmpath(path_runica);
end
% add path if toolboxes are missing
% ---------------------------------
if option_donotusetoolboxes
p1 = fileparts(mywhich('ttest'));
p2 = fileparts(mywhich('filtfilt'));
p3 = fileparts(mywhich('optimtool'));
p4 = fileparts(mywhich('gray2ind'));
if ~isempty(p1), rmpath(p1); end
if ~isempty(p2), rmpath(p2); end
if ~isempty(p3), rmpath(p3); end
if ~isempty(p4), rmpath(p4); end
end
% remove BIOSIG path which are not needed and might cause conflicts
biosigp{1} = fileparts(which('sopen.m'));
biosigp{2} = fileparts(which('regress_eog.m'));
biosigp{3} = fileparts(which('DecimalFactors.txt'));
removepath(fileparts(fileparts(biosigp{1})), biosigp{:})
else
eeglab_options;
end
% declare the variables as global
evalin('base', 'eeg_global;');
eeg_global;
% remove empty datasets in ALLEEG
while ~isempty(ALLEEG) && isempty(ALLEEG(end).data)
ALLEEG(end) = [];
end
if ~isempty(ALLEEG) && max(CURRENTSET) > length(ALLEEG)
CURRENTSET = 1;
EEG = eeg_retrieve(ALLEEG, CURRENTSET);
end
% for the history function
% ------------------------
comtmp = 'warning off MATLAB:mir_warning_variable_used_as_function';
evalin('base' , comtmp, '');
evalin('caller', comtmp, '');
evalin('base', 'eeg_global;');
if nargin < 1 || exist('EEG') ~= 1
EEG = [];
ALLEEG = [];
CURRENTSET = [];
ALLCOM = [];
LASTCOM = [];
STUDY =[];
CURRENTSTUDY = 0;
EEG = eeg_emptyset;
eegh('[ALLEEG EEG CURRENTSET ALLCOM] = eeglab;');
if ismatlab && get(0, 'screendepth') <= 8
disp('Warning: screen color depth too low, some colors will be inaccurate in time-frequency plots');
end
end
versL = ~option_allmenus;
if nargin == 1
if strcmp(onearg, 'versions')
disp( [ 'EEGLAB v' eeg_getversion ] );
elseif strcmp(onearg, 'nogui')
if nargout < 1, clear ALLEEG; end % do not return output var
return;
elseif strcmp(onearg, 'redraw')
W_MAIN = findobj('tag', 'EEGLAB');
if ~isempty(W_MAIN)
updatemenu;
if nargout < 1, clear ALLEEG; end % do not return output var
return;
else
eegh('eeglab(''redraw'');');
end
elseif strcmp(onearg, 'rebuild')
W_MAIN = findobj('tag', 'EEGLAB');
close(W_MAIN);
eeglab redraw;
return;
elseif strcmp(onearg, 'full')
versL = false;
else
fprintf(2,['EEGLAB Warning: Invalid argument ''' onearg '''. Restarting EEGLAB interface instead.\n']);
eegh('[ALLEEG EEG CURRENTSET ALLCOM] = eeglab(''rebuild'');');
end
else
onearg = 'rebuild';
end
ALLCOM = ALLCOM;
try, colordef('white'); catch end
if versL
disp('Some menus items hidden. Use Preference menu to show them all.');
end
% default option folder
% ---------------------
if ~isdeployed
eeglab_options;
fprintf('eeglab: options file is %s%seeg_options.m\n', homefolder, filesep);
end
% checking strings
% ----------------
e_try = 'try,';
e_catch = 'catch, eeglab_error; LASTCOM= ''''; clear EEGTMP ALLEEGTMP STUDYTMP; end;';
nocheck = e_try;
ret = 'if ~isempty(LASTCOM), if LASTCOM(1) == -1, LASTCOM = ''''; return; end; end;';
check = ['[EEG LASTCOM] = eeg_checkset(EEG, ''data'');' ret ' eegh(LASTCOM);' e_try];
checkcont = ['[EEG LASTCOM] = eeg_checkset(EEG, ''contdata'');' ret ' eegh(LASTCOM);' e_try];
checkica = ['[EEG LASTCOM] = eeg_checkset(EEG, ''ica'');' ret ' eegh(LASTCOM);' e_try];
checkepoch = ['[EEG LASTCOM] = eeg_checkset(EEG, ''epoch'');' ret ' eegh(LASTCOM);' e_try];
checkevent = ['[EEG LASTCOM] = eeg_checkset(EEG, ''event'');' ret ' eegh(LASTCOM);' e_try];
checkbesa = ['[EEG LASTCOM] = eeg_checkset(EEG, ''besa'');' ret ' eegh(''% no history yet for BESA dipole localization'');' e_try];
checkepochica = ['[EEG LASTCOM] = eeg_checkset(EEG, ''epoch'', ''ica'');' ret ' eegh(LASTCOM);' e_try];
checkplot = ['[EEG LASTCOM] = eeg_checkset(EEG, ''chanloc'');' ret ' eegh(LASTCOM);' e_try];
checkicaplot = ['[EEG LASTCOM] = eeg_checkset(EEG, ''ica'', ''chanloc'');' ret ' eegh(LASTCOM);' e_try];
checkepochplot = ['[EEG LASTCOM] = eeg_checkset(EEG, ''epoch'', ''chanloc'');' ret ' eegh(LASTCOM);' e_try];
checkepochicaplot = ['[EEG LASTCOM] = eeg_checkset(EEG, ''epoch'', ''ica'', ''chanloc'');' ret ' eegh(LASTCOM);' e_try];
% check string and backup old dataset
% -----------------------------------
backup = [ 'if CURRENTSET ~= 0,' ...
' [ ALLEEG EEG ] = eeg_store(ALLEEG, EEG, CURRENTSET, ''savegui'');' ...
' eegh(''[ALLEEG EEG] = eeg_store(ALLEEG, EEG, CURRENTSET, ''''savedata'''');'');' ...
'end;' ];
storecall = '[ALLEEG EEG] = eeg_store(ALLEEG, EEG, CURRENTSET); eegh(''[ALLEEG EEG] = eeg_store(ALLEEG, EEG, CURRENTSET);'');';
storenewcall = '[ALLEEG EEG CURRENTSET LASTCOM] = pop_newset(ALLEEG, EEG, CURRENTSET, ''study'', ~isempty(STUDY)+0); eegh(LASTCOM);';
storeallcall = [ 'if ~isempty(ALLEEG) && ~isempty(ALLEEG(1).data), ALLEEG = eeg_checkset(ALLEEG);' ...
'EEG = eeg_retrieve(ALLEEG, CURRENTSET); eegh(''ALLEEG = eeg_checkset(ALLEEG); EEG = eeg_retrieve(ALLEEG, CURRENTSET);''); end;' ];
testeegtmp = 'if exist(''EEGTMP'') == 1, EEG = EEGTMP; clear EEGTMP; end;'; % for backward compatibility
ifeeg = 'if ~isempty(LASTCOM) && ~isempty(EEG),';
ifeegnh = 'if ~isempty(LASTCOM) && ~isempty(EEG) && ~isempty(findstr(''='',LASTCOM)),';
% nh = no dataset history
% -----------------------
e_storeall_nh = [e_catch 'eegh(LASTCOM);' ifeeg storeallcall 'disp(''Done.''); end; eeglab(''redraw'');'];
e_hist_nh = [e_catch 'eegh(LASTCOM);'];
% same as above but also save history in dataset
% ----------------------------------------------
e_newset = [e_catch 'EEG = eegh(LASTCOM, EEG);' testeegtmp ifeeg storenewcall 'disp(''Done.''); end; eeglab(''redraw'');'];
e_store = [e_catch 'EEG = eegh(LASTCOM, EEG);' ifeegnh storecall 'disp(''Done.''); end; eeglab(''redraw'');'];
e_hist = [e_catch 'EEG = eegh(LASTCOM, EEG);'];
e_histdone = [e_catch 'EEG = eegh(LASTCOM, EEG); if ~isempty(LASTCOM), disp(''Done.''); end;' ];
% study checking
% --------------
e_check_study = 'if length(EEG) > 1 && CURRENTSTUDY == 1, STUDY = std_checkset(STUDY, ALLEEG); eegh(''STUDY = std_checkset(STUDY, ALLEEG);''); end;';
e_load_study = [e_catch 'if ~isempty(LASTCOM), STUDY = STUDYTMP; STUDY = eegh(LASTCOM, STUDY); ALLEEG = ALLEEGTMP; EEG = ALLEEG; CURRENTSET = [1:length(EEG)]; eegh(''CURRENTSTUDY = 1; EEG = ALLEEG; CURRENTSET = [1:length(EEG)];''); CURRENTSTUDY = 1; disp(''Done.''); end; clear ALLEEGTMP STUDYTMP; eeglab(''redraw'');'];
e_plot_study = [e_catch 'if ~isempty(LASTCOM), STUDY = STUDYTMP; STUDY = eegh(LASTCOM, STUDY); disp(''Done.''); end; clear ALLEEGTMP STUDYTMP; eeglab(''redraw'');']; % ALLEEG not modified
% build structures for plugins
% ----------------------------
trystrs.no_check = e_try;
trystrs.check_data = check;
trystrs.check_ica = checkica;
trystrs.check_cont = checkcont;
trystrs.check_epoch = checkepoch;
trystrs.check_event = checkevent;
trystrs.check_epoch_ica = checkepochica;
trystrs.check_chanlocs = checkplot;
trystrs.check_epoch_chanlocs = checkepochplot;
trystrs.check_epoch_ica_chanlocs = checkepochicaplot;
catchstrs.add_to_hist = e_hist;
catchstrs.store_and_hist = e_store;
catchstrs.new_and_hist = e_newset;
catchstrs.new_non_empty = e_newset;
catchstrs.update_study = e_plot_study;
catchstrs.load_study = e_load_study;
% create eeglab figure
% --------------------
if ismatlab
eeg_mainfig(onearg);
end
% detecting icalab
% ----------------
if exist('icalab')
disp('ICALAB toolbox detected (algo. added to "run ICA" interface)');
end
if ~isdeployed
% check for older version of Fieldtrip and presence of topoplot
% -------------------------------------------------------------
ptopoplot = fileparts(mywhich('cbar'));
ptopoplot2 = fileparts(mywhich('topoplot'));
if ~strcmpi(ptopoplot, ptopoplot2),
%disp(' Warning: duplicate function topoplot.m in Fieldtrip and EEGLAB');
%disp(' EEGLAB function will prevail and call the Fieldtrip one when appropriate');
addpath(ptopoplot);
end
end
cb_importdata = [ nocheck '[EEG LASTCOM] = pop_importdata;' e_newset ];
cb_biosig = [ nocheck '[EEG LASTCOM] = pop_biosig; ' e_newset ];
cb_fileio = [ nocheck '[EEG LASTCOM] = pop_fileio; ' e_newset ];
cb_importepoch = [ checkepoch '[EEG LASTCOM] = pop_importepoch(EEG);' e_store ];
cb_importevent = [ check '[EEG LASTCOM] = pop_importevent(EEG);' e_store ];
cb_chanevent = [ check '[EEG LASTCOM]= pop_chanevent(EEG);' e_store ];
cb_importpres = [ check '[EEG LASTCOM]= pop_importpres(EEG);' e_store ];
cb_importerplab= [ check '[EEG LASTCOM]= pop_importerplab(EEG);' e_store ];
cb_export = [ check 'LASTCOM = pop_export(EEG);' e_histdone ];
cb_expica1 = [ check 'LASTCOM = pop_expica(EEG, ''weights'');' e_histdone ];
cb_expica2 = [ check 'LASTCOM = pop_expica(EEG, ''inv'');' e_histdone ];
cb_expevents = [ check 'LASTCOM = pop_expevents(EEG);' e_histdone ];
cb_expdata = [ check 'LASTCOM = pop_writeeeg(EEG);' e_histdone ];
cb_loadset = [ nocheck '[EEG LASTCOM] = pop_loadset;' e_newset];
cb_saveset = [ check '[EEG LASTCOM] = pop_saveset(EEG, ''savemode'', ''resave'');' e_store ];
cb_savesetas = [ check '[EEG LASTCOM] = pop_saveset(EEG);' e_store ];
cb_delset = [ nocheck '[ALLEEG LASTCOM] = pop_delset(ALLEEG, -CURRENTSET);' e_hist_nh 'eeglab redraw;' ];
cb_study1 = [ nocheck 'pop_stdwarn; [STUDYTMP ALLEEGTMP LASTCOM] = pop_study([], ALLEEG , ''gui'', ''on'');' e_load_study];
cb_study2 = [ nocheck 'pop_stdwarn; [STUDYTMP ALLEEGTMP LASTCOM] = pop_study([], isempty(ALLEEG), ''gui'', ''on'');' e_load_study];
cb_studyerp = [ nocheck 'pop_stdwarn; [STUDYTMP ALLEEGTMP LASTCOM] = pop_studyerp;' e_load_study];
cb_loadstudy = [ nocheck 'pop_stdwarn; [STUDYTMP ALLEEGTMP LASTCOM] = pop_loadstudy; if ~isempty(LASTCOM), STUDYTMP = std_renamestudyfiles(STUDYTMP, ALLEEGTMP); end;' e_load_study];
cb_savestudy1 = [ check '[STUDYTMP ALLEEGTMP LASTCOM] = pop_savestudy(STUDY, EEG, ''savemode'', ''resave'');' e_load_study];
cb_savestudy2 = [ check '[STUDYTMP ALLEEGTMP LASTCOM] = pop_savestudy(STUDY, EEG);' e_load_study];
cb_clearstudy = 'LASTCOM = ''STUDY = []; CURRENTSTUDY = 0; ALLEEG = []; EEG=[]; CURRENTSET=[];''; eval(LASTCOM); eegh( LASTCOM ); eeglab redraw;';
cb_editoptions = [ nocheck 'if isfield(ALLEEG, ''nbchan''), LASTCOM = pop_editoptions(length([ ALLEEG.nbchan ]) >1);' ...
'else LASTCOM = pop_editoptions(0); end;' e_storeall_nh];
cb_plugin = [ nocheck 'if plugin_menu(PLUGINLIST) , close(findobj(''tag'', ''EEGLAB'')); eeglab redraw; end;' e_hist_nh ];
cb_saveh1 = [ nocheck 'LASTCOM = pop_saveh(EEG.history);' e_hist_nh];
cb_saveh2 = [ nocheck 'LASTCOM = pop_saveh(ALLCOM);' e_hist_nh];
cb_runsc = [ nocheck 'LASTCOM = pop_runscript;' e_hist ];
cb_quit = [ 'close(gcf); disp(''To save the EEGLAB command history >> pop_saveh(ALLCOM);'');' ...
'clear global EEG ALLEEG LASTCOM CURRENTSET;'];
cb_editset = [ check '[EEG LASTCOM] = pop_editset(EEG);' e_store];
cb_editeventf = [ checkevent '[EEG LASTCOM] = pop_editeventfield(EEG);' e_store];
cb_editeventv = [ checkevent '[EEG LASTCOM] = pop_editeventvals(EEG);' e_store];
cb_adjustevents= [ checkevent '[EEG LASTCOM] = pop_adjustevents(EEG);' e_store];
cb_comments = [ check '[EEG.comments LASTCOM] =pop_comments(EEG.comments, ''About this dataset'');' e_store];
cb_chanedit = [ 'disp(''IMPORTANT: After importing/modifying data channels, you must close'');' ...
'disp(''the channel editing window for the changes to take effect in EEGLAB.'');' ...
'disp(''TIP: Call this function directy from the prompt, ">> pop_chanedit([]);"'');' ...
'disp('' to convert between channel location file formats'');' ...
'[EEG TMPINFO TMP LASTCOM] = pop_chanedit(EEG); if ~isempty(LASTCOM), EEG = eeg_checkset(EEG, ''chanlocsize'');' ...
'clear TMPINFO TMP; EEG = eegh(LASTCOM, EEG);' storecall 'end; eeglab(''redraw'');'];
cb_select = [ check '[EEG LASTCOM] = pop_select(EEG);' e_newset];
cb_rmdat = [ checkevent '[EEG LASTCOM] = pop_rmdat(EEG);' e_newset];
cb_selectevent = [ checkevent '[EEG TMP LASTCOM] = pop_selectevent(EEG); clear TMP;' e_newset ];
cb_copyset = [ check '[ALLEEG EEG CURRENTSET LASTCOM] = pop_copyset(ALLEEG, CURRENTSET); eeglab(''redraw'');' e_hist_nh];
cb_mergeset = [ check '[EEG LASTCOM] = pop_mergeset(ALLEEG);' e_newset];
cb_resample = [ check '[EEG LASTCOM] = pop_resample(EEG);' e_newset];
cb_eegfilt = [ check '[EEG LASTCOM] = pop_eegfilt(EEG);' e_newset];
cb_interp = [ check '[EEG LASTCOM] = pop_interp(EEG); ' e_newset];
cb_reref = [ check '[EEG LASTCOM] = pop_reref(EEG);' e_newset];
cb_eegplot = [ checkcont '[LASTCOM] = pop_eegplot(EEG, 1);' e_hist];
cb_epoch = [ check '[EEG tmp LASTCOM] = pop_epoch(EEG); clear tmp;' e_newset check '[EEG LASTCOM] = pop_rmbase(EEG);' e_newset e_check_study ];
cb_rmbase = [ check '[EEG LASTCOM] = pop_rmbase(EEG);' e_newset];
cb_runica = [ check '[EEG LASTCOM] = pop_runica(EEG);' e_store e_check_study];
cb_subcomp = [ checkica '[EEG LASTCOM] = pop_subcomp(EEG);' e_newset];
%cb_chanrej = [ check 'pop_rejchan(EEG); LASTCOM = '''';' e_hist];
cb_chanrej = [ check '[EEG tmp1 tmp2 LASTCOM] = pop_rejchan(EEG); clear tmp1 tmp2;' e_hist];
cb_autorej = [ checkepoch '[EEG tmpp LASTCOM] = pop_autorej(EEG); clear tmpp;' e_hist];
cb_rejcont = [ check '[EEG tmp1 tmp2 LASTCOM] = pop_rejcont(EEG); clear tmp1 tmp2;' e_hist];
cb_rejmenu1 = [ check 'pop_rejmenu(EEG, 1); LASTCOM = '''';' e_hist];
cb_eegplotrej1 = [ check '[LASTCOM] = pop_eegplot(EEG, 1);' e_hist];
cb_eegthresh1 = [ checkepoch '[TMP LASTCOM] = pop_eegthresh(EEG, 1); clear TMP;' e_hist];
cb_rejtrend1 = [ checkepoch '[EEG LASTCOM] = pop_rejtrend(EEG, 1);' e_store];
cb_jointprob1 = [ checkepoch '[EEG LASTCOM] = pop_jointprob(EEG, 1);' e_store];
cb_rejkurt1 = [ checkepoch '[EEG LASTCOM] = pop_rejkurt(EEG, 1);' e_store];
cb_rejspec1 = [ checkepoch '[EEG Itmp LASTCOM] = pop_rejspec(EEG, 1); clear Itmp;' e_store];
cb_rejsup1 = [ checkepochica '[EEG LASTCOM] = eeg_rejsuperpose(EEG, 1,1,1,1,1,1,1,1); eegh(LASTCOM);' ...
'LASTCOM = ''EEG.reject.icarejmanual = EEG.reject.rejglobal;''; eval(LASTCOM);' e_store ];
cb_rejsup2 = [ checkepoch '[EEG LASTCOM] = eeg_rejsuperpose(EEG, 1,1,1,1,1,1,1,1); EEG = eegh(LASTCOM, EEG);' ...
'[EEG LASTCOM] = pop_rejepoch(EEG);' e_newset];
cb_selectcomps = [ checkicaplot '[EEG LASTCOM] = pop_selectcomps(EEG);' e_store];
cb_rejmenu2 = [ checkepochica 'pop_rejmenu(EEG, 0); LASTCOM ='''';' e_hist];
cb_eegplotrej2 = [ checkica '[LASTCOM] = pop_eegplot(EEG, 0);' e_hist];
cb_eegthresh2 = [ checkepochica '[TMP LASTCOM] = pop_eegthresh(EEG, 0); clear TMP;' e_hist];
cb_rejtrend2 = [ checkepochica '[EEG LASTCOM] = pop_rejtrend(EEG, 0);' e_store];
cb_jointprob2 = [ checkepochica '[EEG LASTCOM] = pop_jointprob(EEG, 0);' e_store];
cb_rejkurt2 = [ checkepochica '[EEG LASTCOM] = pop_rejkurt(EEG, 0);' e_store];
cb_rejspec2 = [ checkepochica '[EEG Itmp LASTCOM] = pop_rejspec(EEG, 1); clear Itmp;' e_store];
cb_rejsup3 = [ checkepochica '[EEG LASTCOM] = eeg_rejsuperpose(EEG, 0,1,1,1,1,1,1,1); eegh(LASTCOM);' ...
'LASTCOM = ''EEG.reject.rejmanual = EEG.reject.rejglobal;''; eval(LASTCOM);' e_store ];
cb_rejsup4 = [ checkepochica '[EEG LASTCOM] = eeg_rejsuperpose(EEG, 0,1,1,1,1,1,1,1); EEG = eegh(LASTCOM, EEG);' ...
'[EEG LASTCOM] = pop_rejepoch(EEG);' e_newset ];
cb_topoblank1 = [ checkplot 'LASTCOM = [''figure; topoplot([],EEG.chanlocs, ''''style'''', ''''blank'''', ' ...
'''''electrodes'''', ''''labelpoint'''', ''''chaninfo'''', EEG.chaninfo);'']; eval(LASTCOM);' e_hist];
cb_topoblank2 = [ checkplot 'LASTCOM = [''figure; topoplot([],EEG.chanlocs, ''''style'''', ''''blank'''', ' ...
'''''electrodes'''', ''''numpoint'''', ''''chaninfo'''', EEG.chaninfo);'']; eval(LASTCOM);' e_hist];
cb_eegplot1 = [ check 'LASTCOM = pop_eegplot(EEG, 1, 1, 1);' e_hist];
cb_spectopo1 = [ check 'LASTCOM = pop_spectopo(EEG, 1);' e_hist];
cb_prop1 = [ checkplot 'LASTCOM = pop_prop(EEG,1);' e_hist];
cb_erpimage1 = [ checkepoch 'LASTCOM = pop_erpimage(EEG, 1, eegh(''find'',''pop_erpimage(EEG,1''));' e_hist];
cb_timtopo = [ checkplot 'LASTCOM = pop_timtopo(EEG);' e_hist];
cb_plottopo = [ check 'LASTCOM = pop_plottopo(EEG);' e_hist];
cb_topoplot1 = [ checkplot 'LASTCOM = pop_topoplot(EEG, 1);' e_hist];
cb_headplot1 = [ checkplot '[EEG LASTCOM] = pop_headplot(EEG, 1);' e_store];
cb_comperp1 = [ checkepoch 'LASTCOM = pop_comperp(ALLEEG);' e_hist];
cb_eegplot2 = [ checkica '[LASTCOM] = pop_eegplot(EEG, 0, 1, 1);' e_hist];
cb_spectopo2 = [ checkicaplot 'LASTCOM = pop_spectopo(EEG, 0);' e_hist];
cb_topoplot2 = [ checkicaplot 'LASTCOM = pop_topoplot(EEG, 0);' e_hist];
cb_headplot2 = [ checkicaplot '[EEG LASTCOM] = pop_headplot(EEG, 0);' e_store];
cb_prop2 = [ checkicaplot 'LASTCOM = pop_prop(EEG,0);' e_hist];
cb_erpimage2 = [ checkepochica 'LASTCOM = pop_erpimage(EEG, 0, eegh(''find'',''pop_erpimage(EEG,0''));' e_hist];
cb_envtopo1 = [ checkica 'LASTCOM = pop_envtopo(EEG);' e_hist];
cb_envtopo2 = [ checkica 'if length(ALLEEG) == 1, error(''Need at least 2 datasets''); end; LASTCOM = pop_envtopo(ALLEEG);' e_hist];
cb_plotdata2 = [ checkepochica '[tmpeeg LASTCOM] = pop_plotdata(EEG, 0); clear tmpeeg;' e_hist];
cb_comperp2 = [ checkepochica 'LASTCOM = pop_comperp(ALLEEG, 0);' e_hist];
cb_signalstat1 = [ check 'LASTCOM = pop_signalstat(EEG, 1);' e_hist];
cb_signalstat2 = [ checkica 'LASTCOM = pop_signalstat(EEG, 0);' e_hist];
cb_eventstat = [ checkevent 'LASTCOM = pop_eventstat(EEG);' e_hist];
cb_timef1 = [ check 'LASTCOM = pop_newtimef(EEG, 1, eegh(''find'',''pop_newtimef(EEG,1''));' e_hist];
cb_crossf1 = [ check 'LASTCOM = pop_newcrossf(EEG, 1,eegh(''find'',''pop_newcrossf(EEG,1''));' e_hist];
cb_timef2 = [ checkica 'LASTCOM = pop_newtimef(EEG, 0, eegh(''find'',''pop_newtimef(EEG,0''));' e_hist];
cb_crossf2 = [ checkica 'LASTCOM = pop_newcrossf(EEG, 0,eegh(''find'',''pop_newcrossf(EEG,0''));' e_hist];
cb_study3 = [ nocheck '[STUDYTMP ALLEEGTMP LASTCOM] = pop_study(STUDY, ALLEEG, ''gui'', ''on'');' e_load_study];
cb_studydesign = [ nocheck '[STUDYTMP LASTCOM] = pop_studydesign(STUDY, ALLEEG); ALLEEGTMP = ALLEEG;' e_plot_study];
cb_precomp = [ nocheck '[STUDYTMP ALLEEGTMP LASTCOM] = pop_precomp(STUDY, ALLEEG);' e_plot_study];
cb_chanplot = [ nocheck '[STUDYTMP LASTCOM] = pop_chanplot(STUDY, ALLEEG); ALLEEGTMP=ALLEEG;' e_plot_study];
cb_precomp2 = [ nocheck '[STUDYTMP ALLEEGTMP LASTCOM] = pop_precomp(STUDY, ALLEEG, ''components'');' e_plot_study];
cb_preclust = [ nocheck '[STUDYTMP ALLEEGTMP LASTCOM] = pop_preclust(STUDY, ALLEEG);' e_plot_study];
cb_clust = [ nocheck '[STUDYTMP ALLEEGTMP LASTCOM] = pop_clust(STUDY, ALLEEG);' e_plot_study];
cb_clustedit = [ nocheck 'ALLEEGTMP = ALLEEG; [STUDYTMP LASTCOM] = pop_clustedit(STUDY, ALLEEG);' e_plot_study];
%
% % add STUDY plugin menus
% if exist('eegplugin_stderpimage')
% structure.uilist = { { } ...
% {'style' 'pushbutton' 'string' 'Plot ERPimage' 'Callback' 'stderpimageplugin_plot(''onecomp'', gcf);' } { } ...
% {'style' 'pushbutton' 'string' 'Plot ERPimage(s)' 'Callback' 'stderpimageplugin_plot(''oneclust'', gcf);' } };
% structure.geometry = { [1] [1 0.3 1] };
% arg = vararg2str( { structure } );
% cb_clustedit = [ nocheck 'ALLEEGTMP = ALLEEG; [STUDYTMP LASTCOM] = pop_clustedit(STUDY, ALLEEG, [], ' arg ');' e_load_study];
% end;
% menu definition
% ---------------
% defaults
% --------
% startup:on
% study:off
% chanloc:off
% epoch:on
% continuous:on
on = 'study:on';
onnostudy = '';
ondata = 'startup:off';
onepoch = 'startup:off;continuous:off';
ondatastudy = 'startup:off;study:on';
onchannel = 'startup:off;chanloc:on';
onepochchan = 'startup:off;continuous:off;chanloc:on';
onstudy = 'startup:off;epoch:off;continuous:off;study:on';
if ismatlab
W_MAIN = findobj('tag', 'EEGLAB');
EEGUSERDAT = get(W_MAIN, 'userdata');
set(W_MAIN, 'MenuBar', 'none');
file_m = eegmenu( false, W_MAIN, 'Label', 'File' , 'userdata', on);
import_m = eegmenu( false, file_m, 'Label', 'Import data' , 'userdata', onnostudy);
neuro_m = eegmenu( false, import_m, 'Label', 'Using EEGLAB functions and plugins' , 'tag', 'import data' , 'userdata', onnostudy);
epoch_m = eegmenu( false, file_m, 'Label', 'Import epoch info', 'tag', 'import epoch', 'userdata', onepoch);
event_m = eegmenu( false, file_m, 'Label', 'Import event info', 'tag', 'import event', 'userdata', ondata);
exportm = eegmenu( false, file_m, 'Label', 'Export' , 'tag', 'export' , 'userdata', ondata);
edit_m = eegmenu( false, W_MAIN, 'Label', 'Edit' , 'userdata', ondatastudy);
tools_m = eegmenu( false, W_MAIN, 'Label', 'Tools', 'tag', 'tools' , 'userdata', ondatastudy);
plot_m = eegmenu( false, W_MAIN, 'Label', 'Plot', 'tag', 'plot' , 'userdata', ondata);
loc_m = eegmenu( false, plot_m, 'Label', 'Channel locations' , 'userdata', onchannel);
std_m = eegmenu( false, W_MAIN, 'Label', 'Study', 'tag', 'study' , 'userdata', onstudy);
set_m = eegmenu( false, W_MAIN, 'Label', 'Datasets' , 'userdata', ondatastudy);
help_m = eegmenu( false, W_MAIN, 'Label', 'Help' , 'userdata', on);
eegmenu( false, neuro_m, 'Label', '(for more use menu File > Manage EEGLAB extensions)', 'userdata', 'enable:off');
eegmenu( false, neuro_m, 'Label', 'From ASCII/float file or Matlab array' , 'CallBack', cb_importdata, 'separator', 'on');
%eegmenu( false, neuro_m, 'Label', 'From Netstation .mff (FILE-IO toolbox)', 'CallBack', cb_fileio2, 'Separator', 'on');
% BIOSIG MENUS
% ------------
eegmenu( false, neuro_m, 'Label', 'From Biosemi BDF file (BIOSIG toolbox)', 'CallBack' , cb_biosig, 'Separator', 'on');
eegmenu( false, neuro_m, 'Label', 'From EDF/EDF+/GDF files (BIOSIG toolbox)', 'CallBack', cb_biosig);
eegmenu( false, epoch_m, 'Label', 'From Matlab array or ASCII file' , 'CallBack', cb_importepoch);
eegmenu( false, event_m, 'Label', 'From Matlab array or ASCII file' , 'CallBack', cb_importevent);
eegmenu( false, event_m, 'Label', 'From data channel' , 'CallBack', cb_chanevent);
eegmenu( false, event_m, 'Label', 'From Presentation .LOG file' , 'CallBack', cb_importpres);
eegmenu( false, event_m, 'Label', 'From E-Prime ASCII (text) file' , 'CallBack', cb_importevent);
eegmenu( false, event_m, 'Label', 'From ERPLAB text files' , 'CallBack', cb_importerplab);
eegmenu( false, exportm, 'Label', '(for more use menu File > Manage EEGLAB extensions)', 'userdata', 'enable:off');
eegmenu( false, exportm, 'Label', 'Data and ICA activity to text file' , 'CallBack', cb_export, 'separator', 'on');
eegmenu( false, exportm, 'Label', 'Weight matrix to text file' , 'CallBack', cb_expica1);
eegmenu( false, exportm, 'Label', 'Inverse weight matrix to text file' , 'CallBack', cb_expica2);
eegmenu( false, exportm, 'Label', 'Events to text file' , 'CallBack', cb_expevents);
eegmenu( false, exportm, 'Label', 'Data to EDF/BDF/GDF file' , 'CallBack', cb_expdata, 'separator', 'on');
eegmenu( false, file_m, 'Label', 'Load existing dataset' , 'userdata', onnostudy, 'CallBack', cb_loadset, 'Separator', 'on');
eegmenu( false, file_m, 'Label', 'Save current dataset(s)' , 'userdata', ondatastudy, 'CallBack', cb_saveset);
eegmenu( false, file_m, 'Label', 'Save current dataset as' , 'userdata', ondata, 'CallBack', cb_savesetas);
eegmenu( false, file_m, 'Label', 'Clear dataset(s)' , 'userdata', ondata, 'CallBack', cb_delset);
std2_m = eegmenu( false, file_m, 'Label', 'Create study' , 'userdata', on , 'Separator', 'on');
eegmenu( false, std2_m, 'Label', 'Using all loaded datasets' , 'userdata', ondata , 'Callback', cb_study1);
eegmenu( false, std2_m, 'Label', 'Browse for datasets' , 'userdata', on , 'Callback', cb_study2);
eegmenu( false, std2_m, 'Label', 'Simple ERP STUDY' , 'userdata', on , 'Callback', cb_studyerp);
eegmenu( false, file_m, 'Label', 'Load existing study' , 'userdata', on , 'CallBack', cb_loadstudy,'Separator', 'on' );
eegmenu( false, file_m, 'Label', 'Save current study' , 'userdata', onstudy, 'CallBack', cb_savestudy1);
eegmenu( false, file_m, 'Label', 'Save current study as' , 'userdata', onstudy, 'CallBack', cb_savestudy2);
eegmenu( false, file_m, 'Label', 'Clear study / Clear all' , 'userdata', ondatastudy, 'CallBack', cb_clearstudy);
eegmenu( false, file_m, 'Label', 'Preferences' , 'userdata', on , 'CallBack', cb_editoptions, 'Separator', 'on');
hist_m = eegmenu( false, file_m, 'Label', 'History scripts' , 'userdata', on , 'Separator', 'on');
eegmenu( false, hist_m, 'Label', 'Save dataset history script' , 'userdata', ondata , 'CallBack', cb_saveh1);
eegmenu( false, hist_m, 'Label', 'Save session history script' , 'userdata', ondatastudy, 'CallBack', cb_saveh2);
eegmenu( false, hist_m, 'Label', 'Run script' , 'userdata', on , 'CallBack', cb_runsc);
if ~isdeployed
eegmenu( false, file_m, 'Label', 'Manage EEGLAB extensions' , 'userdata', on, 'CallBack', cb_plugin);
end
eegmenu( false, file_m, 'Label', 'Quit' , 'userdata', on , 'CallBack', cb_quit, 'Separator', 'on');
eegmenu( false, edit_m, 'Label', 'Dataset info' , 'userdata', ondata, 'CallBack', cb_editset);
eegmenu( versL, edit_m, 'Label', 'Event fields' , 'userdata', ondata, 'CallBack', cb_editeventf);
eegmenu( false, edit_m, 'Label', 'Event values' , 'userdata', ondata, 'CallBack', cb_editeventv);
eegmenu( versL, edit_m, 'Label', 'Adjust event latencies' , 'userdata', ondata, 'CallBack', cb_adjustevents);
eegmenu( false, edit_m, 'Label', 'About this dataset' , 'userdata', ondata, 'CallBack', cb_comments);
eegmenu( false, edit_m, 'Label', 'Channel locations' , 'userdata', ondata, 'CallBack', cb_chanedit);
eegmenu( false, edit_m, 'Label', 'Select data' , 'userdata', ondata, 'CallBack', cb_select, 'Separator', 'on', 'userdata', 'study:on');
eegmenu( false, edit_m, 'Label', 'Select data using events' , 'userdata', ondata, 'CallBack', cb_rmdat);
eegmenu( false, edit_m, 'Label', 'Select epochs or events' , 'userdata', ondata, 'CallBack', cb_selectevent);
eegmenu( false, edit_m, 'Label', 'Copy current dataset' , 'userdata', ondata, 'CallBack', cb_copyset, 'Separator', 'on');
eegmenu( false, edit_m, 'Label', 'Append datasets' , 'userdata', ondata, 'CallBack', cb_mergeset);
eegmenu( false, edit_m, 'Label', 'Delete dataset(s) from memory' , 'userdata', ondata, 'CallBack', cb_delset);
eegmenu(~versL, tools_m, 'Label', '(Expand tool choices via "File > Preferences")' , 'userdata', 'enable:off');
eegmenu( false, tools_m, 'Label', 'Change sampling rate' , 'userdata', ondatastudy, 'CallBack', cb_resample, 'Separator', 'on');
filter_m = eegmenu( false, tools_m, 'Label', 'Filter the data' , 'userdata', ondatastudy, 'tag', 'filter');
eegmenu( false, filter_m, 'Label', 'Basic FIR filter (legacy)' , 'userdata', ondatastudy, 'CallBack', cb_eegfilt);
eegmenu( false, tools_m, 'Label', 'Re-reference the data' , 'userdata', ondata, 'CallBack', cb_reref, 'userdata', 'startup:off;study:on');
eegmenu( false, tools_m, 'Label', 'Interpolate electrodes' , 'userdata', ondata, 'CallBack', cb_interp);
eegmenu( false, tools_m, 'Label', 'Inspect/reject data by eye' , 'userdata', ondata, 'CallBack', cb_eegplot, 'Separator', 'on');
eegmenu( versL, tools_m, 'Label', 'Automatic channel rejection' , 'userdata', ondata, 'CallBack', cb_chanrej);
eegmenu( versL, tools_m, 'Label', 'Automatic continuous rejection' , 'userdata', ondata, 'CallBack', cb_rejcont);
eegmenu( versL, tools_m, 'Label', 'Automatic epoch rejection' , 'userdata', onepoch, 'CallBack', cb_autorej);
eegmenu( false, tools_m, 'Label', 'Decompose data by ICA' , 'userdata', ondatastudy, 'CallBack', cb_runica, 'Separator', 'on');
rej_m1 = eegmenu( versL, tools_m, 'Label', 'Reject data epochs' , 'userdata', onepoch);
rej_m2 = eegmenu( versL, tools_m, 'Label', 'Reject data using ICA' , 'userdata', ondata );
eegmenu( versL, rej_m1, 'Label', 'Reject data (all methods)' , 'userdata', onepoch, 'CallBack', cb_rejmenu1);
eegmenu( versL, rej_m1, 'Label', 'Reject by inspection' , 'userdata', onepoch, 'CallBack', cb_eegplotrej1);
eegmenu( versL, rej_m1, 'Label', 'Reject extreme values' , 'userdata', onepoch, 'CallBack', cb_eegthresh1);
eegmenu( versL, rej_m1, 'Label', 'Reject by linear trend/variance' , 'userdata', onepoch, 'CallBack', cb_rejtrend1);
eegmenu( versL, rej_m1, 'Label', 'Reject by probability' , 'userdata', onepoch, 'CallBack', cb_jointprob1);
eegmenu( versL, rej_m1, 'Label', 'Reject by kurtosis' , 'userdata', onepoch, 'CallBack', cb_rejkurt1);
eegmenu( versL, rej_m1, 'Label', 'Reject by spectra' , 'userdata', onepoch, 'CallBack', cb_rejspec1);
eegmenu( versL, rej_m1, 'Label', 'Export marks to ICA reject' , 'userdata', onepoch, 'CallBack', cb_rejsup1, 'separator', 'on');
eegmenu( versL, rej_m1, 'Label', 'Reject marked epochs' , 'userdata', onepoch, 'CallBack', cb_rejsup2, 'separator', 'on', 'foregroundcolor', 'b');
eegmenu(~versL, tools_m,'Label', 'Inspect/label components by map' , 'userdata', ondata , 'CallBack', cb_selectcomps);
eegmenu( versL, rej_m2, 'Label', 'Reject components by map' , 'userdata', ondata , 'CallBack', cb_selectcomps);
eegmenu( versL, rej_m2, 'Label', 'Reject data (all methods)' , 'userdata', onepoch, 'CallBack', cb_rejmenu2, 'Separator', 'on');
eegmenu( versL, rej_m2, 'Label', 'Reject by inspection' , 'userdata', onepoch, 'CallBack', cb_eegplotrej2);
eegmenu( versL, rej_m2, 'Label', 'Reject extreme values' , 'userdata', onepoch, 'CallBack', cb_eegthresh2);
eegmenu( versL, rej_m2, 'Label', 'Reject by linear trend/variance' , 'userdata', onepoch, 'CallBack', cb_rejtrend2);
eegmenu( versL, rej_m2, 'Label', 'Reject by probability' , 'userdata', onepoch, 'CallBack', cb_jointprob2);
eegmenu( versL, rej_m2, 'Label', 'Reject by kurtosis' , 'userdata', onepoch, 'CallBack', cb_rejkurt2);
eegmenu( versL, rej_m2, 'Label', 'Reject by spectra' , 'userdata', onepoch, 'CallBack', cb_rejspec2);
eegmenu( versL, rej_m2, 'Label', 'Export marks to data reject' , 'userdata', onepoch, 'CallBack', cb_rejsup3, 'separator', 'on');
eegmenu( versL, rej_m2, 'Label', 'Reject marked epochs' , 'userdata', onepoch, 'CallBack', cb_rejsup4, 'separator', 'on', 'foregroundcolor', 'b');
eegmenu( false, tools_m, 'Label', 'Remove components from data' , 'userdata', ondata, 'CallBack', cb_subcomp);
eegmenu( false, tools_m, 'Label', 'Extract epochs' , 'userdata', ondata, 'CallBack', cb_epoch, 'Separator', 'on', 'userdata', 'startup:off;study:on');
eegmenu( false, tools_m, 'Label', 'Remove epoch baseline' , 'userdata', ondatastudy, 'CallBack', cb_rmbase);
eegmenu( false, loc_m, 'Label', 'By name' , 'userdata', onchannel, 'CallBack', cb_topoblank1);
eegmenu( false, loc_m, 'Label', 'By number' , 'userdata', onchannel, 'CallBack', cb_topoblank2);
eegmenu( false, plot_m, 'Label', 'Channel data (scroll)' , 'userdata', ondata , 'CallBack', cb_eegplot1, 'Separator', 'on');
eegmenu( false, plot_m, 'Label', 'Channel spectra and maps' , 'userdata', ondata , 'CallBack', cb_spectopo1);
eegmenu( false, plot_m, 'Label', 'Channel properties' , 'userdata', ondata , 'CallBack', cb_prop1);
eegmenu( false, plot_m, 'Label', 'Channel ERP image' , 'userdata', onepoch, 'CallBack', cb_erpimage1);
ERP_m = eegmenu( false, plot_m, 'Label', 'Channel ERPs' , 'userdata', onepoch);
eegmenu( false, ERP_m, 'Label', 'With scalp maps' , 'CallBack', cb_timtopo);
eegmenu( false, ERP_m, 'Label', 'In scalp/rect. array' , 'CallBack', cb_plottopo);
topo_m = eegmenu( false, plot_m, 'Label', 'ERP map series' , 'userdata', onepochchan);
eegmenu( false, topo_m, 'Label', 'In 2-D' , 'CallBack', cb_topoplot1);
eegmenu( false, topo_m, 'Label', 'In 3-D' , 'CallBack', cb_headplot1);
eegmenu( versL, plot_m, 'Label', 'Sum/Compare ERPs' , 'userdata', onepoch, 'CallBack', cb_comperp1);
eegmenu( false, plot_m, 'Label', 'Component activations (scroll)' , 'userdata', ondata , 'CallBack', cb_eegplot2,'Separator', 'on');
eegmenu( false, plot_m, 'Label', 'Component spectra and maps' , 'userdata', ondata , 'CallBack', cb_spectopo2);
tica_m = eegmenu( false, plot_m, 'Label', 'Component maps' , 'userdata', onchannel);
eegmenu( false, tica_m, 'Label', 'In 2-D' , 'CallBack', cb_topoplot2);
eegmenu( false, tica_m, 'Label', 'In 3-D' , 'CallBack', cb_headplot2);
eegmenu( false, plot_m, 'Label', 'Component properties' , 'userdata', ondata , 'CallBack', cb_prop2);
eegmenu( false, plot_m, 'Label', 'Component ERP image' , 'userdata', onepoch, 'CallBack', cb_erpimage2);
ERPC_m = eegmenu( false, plot_m, 'Label', 'Component ERPs' , 'userdata', onepoch);
eegmenu( false, ERPC_m, 'Label', 'With component maps' , 'CallBack', cb_envtopo1);
eegmenu( false, ERPC_m, 'Label', 'With comp. maps (compare)' , 'CallBack', cb_envtopo2);
eegmenu( false, ERPC_m, 'Label', 'In rectangular array' , 'CallBack', cb_plotdata2);
eegmenu( false, plot_m, 'Label', 'Sum/Compare comp. ERPs' , 'userdata', onepoch, 'CallBack', cb_comperp2);
stat_m = eegmenu( versL, plot_m, 'Label', 'Data statistics', 'Separator', 'on', 'userdata', ondata );
eegmenu( versL, stat_m, 'Label', 'Channel statistics' , 'CallBack', cb_signalstat1);
eegmenu( versL, stat_m, 'Label', 'Component statistics' , 'CallBack', cb_signalstat2);
eegmenu( versL, stat_m, 'Label', 'Event statistics' , 'CallBack', cb_eventstat);
spec_m = eegmenu( false, plot_m, 'Label', 'Time-frequency transforms', 'Separator', 'on', 'userdata', ondata);
eegmenu( false, spec_m, 'Label', 'Channel time-frequency' , 'CallBack', cb_timef1);
eegmenu( false, spec_m, 'Label', 'Channel cross-coherence' , 'CallBack', cb_crossf1);
eegmenu( false, spec_m, 'Label', 'Component time-frequency' , 'CallBack', cb_timef2,'Separator', 'on');
eegmenu( false, spec_m, 'Label', 'Component cross-coherence' , 'CallBack', cb_crossf2);
eegmenu( false, std_m, 'Label', 'Edit study info' , 'userdata', onstudy, 'CallBack', cb_study3);
eegmenu( false, std_m, 'Label', 'Select/Edit study design(s)' , 'userdata', onstudy, 'CallBack', cb_studydesign);
eegmenu( false, std_m, 'Label', 'Precompute channel measures' , 'userdata', onstudy, 'CallBack', cb_precomp, 'separator', 'on');
eegmenu( false, std_m, 'Label', 'Plot channel measures' , 'userdata', onstudy, 'CallBack', cb_chanplot);
eegmenu( false, std_m, 'Label', 'Precompute component measures' , 'userdata', onstudy, 'CallBack', cb_precomp2, 'separator', 'on');
clust_m = eegmenu( false, std_m, 'Label', 'PCA clustering (original)' , 'userdata', onstudy);
eegmenu( false, clust_m, 'Label', 'Build preclustering array' , 'userdata', onstudy, 'CallBack', cb_preclust);
eegmenu( false, clust_m, 'Label', 'Cluster components' , 'userdata', onstudy, 'CallBack', cb_clust);
eegmenu( false, std_m, 'Label', 'Edit/plot clusters' , 'userdata', onstudy, 'CallBack', cb_clustedit);
if ~isdeployed
%newerVersionMenu = eegmenu( false, help_m, 'Label', 'Upgrade to the Latest Version' , 'userdata', on, 'ForegroundColor', [0.6 0 0]);
eegmenu( false, help_m, 'Label', 'About EEGLAB' , 'userdata', on, 'CallBack', 'pophelp(''eeglab'');');
eegmenu( false, help_m, 'Label', 'About EEGLAB help' , 'userdata', on, 'CallBack', 'pophelp(''eeg_helphelp'');');
eegmenu( false, help_m, 'Label', 'EEGLAB menus' , 'userdata', on, 'CallBack', 'pophelp(''eeg_helpmenu'');','separator','on');
help_1 = eegmenu( false, help_m, 'Label', 'EEGLAB functions', 'userdata', on);
eegmenu( false, help_1, 'Label', 'Admin. functions' , 'userdata', on, 'Callback', 'pophelp(''eeg_helpadmin'');');
eegmenu( false, help_1, 'Label', 'Interactive pop_ functions' , 'userdata', on, 'Callback', 'pophelp(''eeg_helppop'');');
eegmenu( false, help_1, 'Label', 'Signal processing functions' , 'userdata', on, 'Callback', 'pophelp(''eeg_helpsigproc'');');
eegmenu( false, help_1, 'Label', 'Group data (STUDY) functions' , 'userdata', on, 'Callback', 'pophelp(''eeg_helpstudy'');');
eegmenu( false, help_1, 'Label', 'Time-frequency functions' , 'userdata', on, 'Callback', 'pophelp(''eeg_helptimefreq'');');
eegmenu( false, help_1, 'Label', 'Statistical functions' , 'userdata', on, 'Callback', 'pophelp(''eeg_helpstatistics'');');
eegmenu( false, help_1, 'Label', 'Graphic interface builder functions' , 'userdata', on, 'Callback', 'pophelp(''eeg_helpgui'');');
eegmenu( false, help_1, 'Label', 'Misc. command line functions' , 'userdata', on, 'Callback', 'pophelp(''eeg_helpmisc'');');
eegmenu( false, help_m, 'Label', 'EEGLAB license' , 'userdata', on, 'CallBack', 'pophelp(''eeglablicense.txt'', 1);');
else
eegmenu( false, help_m, 'Label', 'About EEGLAB' , 'userdata', on, 'CallBack', 'abouteeglab;');
eegmenu( false, help_m, 'Label', 'EEGLAB license' , 'userdata', on, 'CallBack', 'pophelp(''eeglablicense.txt'', 1);');
end
eegmenu( false, help_m, 'Label', 'EEGLAB tutorial' , 'userdata', on, 'CallBack', 'tutorial;', 'Separator', 'on');
eegmenu( false, help_m, 'Label', 'Email the EEGLAB team' , 'userdata', on, 'CallBack', 'web(''mailto:[email protected]'');');
end
statusconnection = 1;
if isdeployed
funcname = { 'eegplugin_dipfit' ...
'eegplugin_firfilt' ...
'eegplugin_iclabel' ...
'eegplugin_clean_rawdata' ...
'eegplugin_musemonitor' };
for indf = 1:length(funcname)
try
vers = feval(funcname{indf}, gcf, trystrs, catchstrs);
disp(['EEGLAB: adding "' vers '" plugin' ]);
catch
feval(funcname{indf}, gcf, trystrs, catchstrs);
disp(['EEGLAB: adding plugin function "' funcname{indf} '"' ]);
end
end
else
pluginlist = [];
plugincount = 1;
p = mywhich('eeglab.m');
p = p(1:findstr(p,'eeglab.m')-1);
if strcmpi(p, './') || strcmpi(p, '.\'), p = [ pwd filesep ]; end
% scan plugin folder
% ------------------
dircontent = dir(fullfile(p, 'plugins'));
dircontent = { dircontent.name };
pluginstats = [];
if option_checkversion && ismatlab
disp('Retrieving plugin versions from server...');
pluginTmp = plugin_getweb('', pluginlist, 'newlist');
if ~isempty(pluginTmp) && isfield(pluginTmp, 'name') && isfield(pluginTmp, 'version')
pluginstats.name = { pluginTmp.name };
pluginstats.version = { pluginTmp.version };
end
end
for index = 1:length(dircontent)
% find function
% -------------
funcname = '';
pluginVersion = [];
if exist([p 'plugins' filesep dircontent{index}]) == 7
if ~strcmpi(dircontent{index}, '.') && ~strcmpi(dircontent{index}, '..')
newpath = [ 'plugins' filesep dircontent{index} ];
tmpdir = dir([ p 'plugins' filesep dircontent{index} filesep 'eegplugin*.m' ]);
addpathifnotinlist(fullfile(eeglabpath, newpath));
[ pluginName pluginVersion ] = parsepluginname(dircontent{index});
if ~isempty(tmpdir)
%myaddpath(eeglabpath, tmpdir(1).name, newpath);
funcname = tmpdir(1).name(1:end-2);
end
% special case of subfolder for Fieldtrip
% ---------------------------------------
if ~isempty(findstr(lower(dircontent{index}), 'fieldtrip'))
addpathifnotexist( fullfile(eeglabpath, newpath, 'compat') , 'electrodenormalize' );
addpathifnotexist( fullfile(eeglabpath, newpath, 'forward'), 'ft_sourcedepth.m');
addpathifnotexist( fullfile(eeglabpath, newpath, 'utilities'), 'ft_datatype.m');
ptopoplot = fileparts(mywhich('cbar'));
ptopoplot2 = fileparts(mywhich('topoplot'));
if ~isequal(ptopoplot, ptopoplot2)
addpath(ptopoplot);
end
end
% special case of subfolder for BIOSIG
% ------------------------------------
if ~isempty(findstr(lower(dircontent{index}), 'biosig')) && isempty(findstr(lower(dircontent{index}), 'biosigplot'))
addpathifnotexist( fullfile(eeglabpath, newpath, 'biosig', 't200_FileAccess'), 'sopen.m');
addpathifnotexist( fullfile(eeglabpath, newpath, 'biosig', 't250_ArtifactPreProcessingQualityControl'), 'regress_eog.m' );
addpathifnotexist( fullfile(eeglabpath, newpath, 'biosig', 'doc'), 'DecimalFactors.txt');
end
end
else
if ~isempty(findstr(dircontent{index}, 'eegplugin')) && dircontent{index}(end) == 'm'
funcname = dircontent{index}(1:end-2); % remove .m
[ pluginName, pluginVersion ] = parsepluginname(dircontent{index}(10:end-2));
end
end
% execute function
% ----------------
if ~isempty(pluginVersion) || ~isempty(funcname)
if isempty(funcname)
disp([ 'EEGLAB: adding "' pluginName '" to the path; subfolders (if any) might be missing from the path' ]);
pluginlist(plugincount).plugin = pluginName;
pluginlist(plugincount).version = pluginVersion;
pluginlist(plugincount).foldername = dircontent{index};
pluginlist(plugincount).status = 'ok';
plugincount = plugincount+1;
else
pluginlist(plugincount).plugin = pluginName;
pluginlist(plugincount).version = pluginVersion;
vers2 = '';
status = 'ok';
try
%eval( [ 'vers2 =' funcname '(gcf, trystrs, catchstrs);' ]);
vers2 = feval(funcname, gcf, trystrs, catchstrs);
[~, vers2] = parsepluginname(vers2);
catch
try
eval( [ funcname '(gcf, trystrs, catchstrs)' ]);
catch
disp([ 'EEGLAB: error while adding plugin "' funcname '"' ] );
disp([ ' ' lasterr] );
status = 'error';
end
end
if isempty(pluginlist(plugincount).version)
pluginlist(plugincount).version = vers2;
elseif ~isempty(vers2)
if ~isequal(pluginlist(plugincount).version, vers2)
fprintf('WARNING: for plugin "%s" version in the folder name "%s" and in the eegplugin_ file "%s" differ\n', pluginlist(plugincount).plugin, pluginlist(plugincount).version,vers2);