Dear Tommy,
That means that your data is either all zeros or there are NaNs in it.
That wouldn't necessarily generate an error message at an earlier
stage. You should review the intermediate datasets at every step and
try to understand the reason for it. Also try using robust averaging.
Best,
Vladimir
On Thu, Jun 16, 2011 at 4:31 AM, Tommy Ng <[log in to unmask]> wrote:
> Dear SPM experts
> I used Fieldtrip multitaper TF to estimate source power during a motor task,
> rescaled, then averaged single-trail data.
> Everything went fine and there was no error messages. However, when I tried
> to display the TFR, the error below appeared:
>
> ??? Error using ==> axes
> Bad value for axes property: 'YLim'
> Values must be increasing and non-NaN.
> Error in ==> spm_eeg_review_uis at 448
> D.PSD.handles.axes(i) = axes('Parent',
> D.PSD.handles.hfig,...
> Error in ==> spm_eeg_review_switchDisplay>scalpData at 193
> D = spm_eeg_review_uis(D,object);
> Error in ==> spm_eeg_review_switchDisplay at 44
> [D] = scalpData(D);
> Error in ==> spm_eeg_review_callbacks at 146
> [D] = spm_eeg_review_switchDisplay(D);
> Error in ==> spm_uitab>doChoose at 197
> eval(ud.callback);
> ??? Error while evaluating uicontrol Callback
> Can anyone please help?
> Thank you.
> Tommy
