[Eeglablist] ignoring bad data channels when comparing across subjects

[arno]

Dear Rob,

there is no way to just ignore a bad channel without actually removing 
it from a dataset. It would be good to keep that information somewhere, 
I agree. EEGLAB can interpolate bad data channels using the eeg_interp() 
function that I forwarded today to the list. You may insert NaN for bad 
data channels and some functions (but not all) will still work and 
ignore bad data channels.

Arno

Rob Anderson wrote:
> Hi. Is there a way in eeglab to just ignore a bad channel without 
> actually removing it from a dataset.  For example, if I wanted to 
> compare two different groups of subjects, but various individuals in 
> the two groups had different electrodes that were bad, is there a way 
> to get eeglab to just ignore certain channels for certain individuals 
> so that the bad channels do not skew the results? If this is not 
> possible, can eeglab insert null values for an inserted channel where 
> a bad channel was removed (i.e., so that there are the same number of 
> channels reported for each subject in the groups being compared, but 
> data from the inserted channel would not skew the results? Thanks. Rob.
>  
> Rob Anderson, Ph.D.
> Research Assistant Professor

-------------- next part --------------
An HTML attachment was scrubbed...
URL: <http://sccn.ucsd.edu/pipermail/eeglablist/attachments/20070306/2466d44b/attachment.html>