LSL correct

documentation/templates/template_startup.txt

@@ -2,6 +2,6 @@
 %  these lines will add the PBToolbox functions to your userpath 
 %  and initialize your matlab during startup.
 
-pbpath = '/Users/jjheckman/Documents/Code/Gitlab/pbtoolbox';
+pbpath = [PBPATH]
 addpath(genpath(pbpath));
 pb_initialize;
\ No newline at end of file

pb_initializetoolbox.m

@@ -16,7 +16,7 @@ function pb_initializetoolbox()
    clc; disp('Initializing ProgrammeerBeerToolbox...');
    
    pbpath = strrep(which('pb_initializetoolbox.m'),'pb_initializetoolbox.m','');
-   text = fileread([pbpath 'documentation/templates/template_startup.txt']);
+   text = fileread([pbpath 'documentation' filesep 'templates' filesep 'template_startup.txt']);
    
    disp([newline '   - localising startup.m']);
    if isempty(fstartup)

subtools/lsl/pb_runLSL.m

@@ -19,7 +19,7 @@ function [ses,str] = pb_runLSL(varargin)
                'type=''Pupil Capture @ pupil-desktop'' and name=''Pupil Python Representation - Eye 0''', ...
                'type=''Pupil Capture @ pupil-desktop'' and name=''Gaze Python Representation''', ...
                'type=''Pupil Capture @ pupil-desktop'' and name=''Pupil Primitive Data - Eye 0''', ...
-               'type=''OptiTrack Mocap @ DCN-VS03'' and name=''Rigid Bodies'''};
+               'type=''OptiTrack Mocap @ DCN-OT01'' and name=''Rigid Bodies'''};
    
    if de; tmp(end+1) = streams(1); end
    if pl; tmp(end+1) = streams(2); end 

utilities/graphics/plot/pb_shadedline.m

+function pb_shadedline(D,varargin)
+% PB_SHADEDLINE()
+%
+% PB_SHADEDLINE()  ...
+%
+% See also ...
+
+% PBToolbox (2018): JJH: j.heckman@donders.ru.nl
+
+   fig      = pb_keyval('fig',varargin,gcf);
+   ax       = pb_keyval('axis',varargin,gca);
+   col      = pb_keyval('col',varargin);
+   alpha    = pb_keyval('alpha',varargin,.3);
+   smooth   = pb_keyval('smooth',varargin,1);
+   
+   figure(fig); 
+   axes(ax);
+   
+   hs = ~ishold;
+   hold on; 
+   
+   F = 1 : size(D,2);
+
+   if ne(size(F,1),1)
+       F=F';
+   end
+
+   amean=smooth(nanmean(D),smth)';
+   astd=nanstd(D);                                                   % to get std shading
+   % astd=nanstd(amatrix)/sqrt(size(amatrix,1));                           % to get sem shading
+
+   if exist('alpha','var')==0 || isempty(alpha) 
+       fill([F fliplr(F)],[amean+astd fliplr(amean-astd)],acolor,'linestyle','none');
+       acolor='k';
+   else
+      fill([F fliplr(F)],[amean+astd fliplr(amean-astd)],acolor, 'FaceAlpha', alpha,'linestyle','none');
+   end
+
+   plot(F,amean,acolor,'linewidth',1.5); %% change color or linewidth to adjust mean line
+   if hs; hold off; end
+end
+ 
+% % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % 
+%                                                           %
+%       Part of Programmeer Beer Toolbox (PBToolbox)        %
+%       Written by: Jesse J. Heckman (2018)                 %
+%                                                           %
+% % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % 
+