[Eeglablist] newtimef with independent components

[James Desjardins]

Hi Cigir,

The following call to newtimef should compare the independent  
component #1 of dataset #1 to dataset #2.

figure;
newtimef({ALLEEG(1).icaact(1,:,:), ALLEEG(2).icaact(1,:,:)}, ...
		EEG.pnts, ...
		[EEG.xmin EEG.xmax]*1000, ...
		EEG.srate, ...
		[3 0.5] , ...
		'topovec', EEG.icawinv(:,1), ...
		'elocs', EEG.chanlocs, ...
		'chaninfo', EEG.chaninfo, ...
		'baseline',[0], ...
		'plotphase', 'off', ...
		'padratio', 1);


James Desjardins
Technician, MA Student
Department of Psychology, Behavioural Neuroscience
Cognitive and Affective Neuroscience Lab
Brock University
500 Glenridge Ave.
St. Catharines, ON, Canada
L2S 3A1
905-688-5550 x4676


Quoting Cigir Kalfaoglu <c.kalfaoglu at sheffield.ac.uk>:

> Hello,
>
> A simple question with possibly a one line answer:
>
> I am trying to calculate ERSP/ITC differences between conditions using
> newtimef. However, I would like to use data from independent
> components, rather than channels when doing so. I know pop_newtimef has
> the option to do this via the key 'typeproc', but I couldn't get
> pop_newtimef to work with two datasets.
>
> Is there a way to analyse independent components using newtimef, or
> alternatively, to use pop_newtimef with 2 datasets?
>
> Thank you,
> C