[Eeglablist] plotcurve.m - error in setting ordinate limits

Ramón Martinez nucleuscub at gmail.com
Fri May 31 07:10:08 PDT 2019


Dear John,
Thanks for taking a time to look into this issue. However, a better channel
to go over this is by submitting a bug report to
https://github.com/sccn/eeglab/issues.
We would need to reproduce the issue first. By reading the code it seems to
me weird that the function falls into that line when the *ylim* input is a
two-element vector. Let's follow up on that.
 Thanks,
Ramon

On Fri, May 31, 2019 at 1:11 PM Johnson, John T. <john.johnson at gatech.edu>
wrote:

> In plotcurve.m, line 215, there is an attempt to set the y limits of the
> plot, but the variables used have more elements than expected.
>
>   % ordinate limits
>   % ---------------
>   if isempty(g.ylim),
>       yll = min(reshape(R, [1 prod(size(R))]));
>       ylh = max(reshape(R, [1 prod(size(R))]));
>       yll2 = yll - (ylh-yll)/10;
>       ylh2 = ylh + (ylh-yll)/10;
>       if ~isnan(yll), g.ylim = [yll2 ylh2]; end
>   end
>   if ~isempty(g.ylim) && length(g.ylim) == 2
>       if any(g.ylim)
>           ylim(g.ylim);
>       else
>           ylim([0 1]);
>           axis off;
>           box off;
>       end
>   elseif ~isempty(g.ylim)
>       yl = ylim;
>       ylim([g.ylim yl(2)]);      <———— Error
>   end
>   yl = ylim;
>
>
> The error message is Error using ylim (line 31) Limits must be a 2-element
> vector of increasing numeric values.
> Inspecting g.ylim shows that it has four elements, rather than the
> expected single element.
>
> To work around the error, I can do this:
>
>   elseif ~isempty(g.ylim)
>       yl = ylim;
>       yl_min = min([g.ylim yl]);
>       yl_max = max([g.ylim yl]);
>       ylim([yl_min yl_max]);
>   end
>   yl = ylim;
>
>
> But the lower limit is too low. Is there a better option?
>
> This happens in both 13.6.5b and 2019.0.
>
> Thanks,
> John
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-- 
_____________________________________________________
Ramon Martinez-Cancino
Swartz Center for Computational Neuroscience
Institute for Neural Computation, University of California San Diego


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