[Eeglablist] plotting newly-calculated stuff (MGFP, difference waves) in a std_erpplot - use std_plotcurve?

[Arnaud Delorme]

Dear Hamish,

you cannot use the std_erpplot function but you can use the std_stats function and the std_plotcurve function to plot the result. std_erpplot is going to read the data from disk. It then calls std_stats to compute the stats and std_plotcurve (or std_chantopo) to plot ERPs (or ERP scalp topographies). These functions are clearly documented.

Best regards,

Arno

On Jun 13, 2011, at 4:53 AM, Hamish INNES-BROWN wrote:

> Hello again, I have recently been working with a two STUDYs (12 subjects, two conditions in each study) in which I have calculated some new data for each participant and condition (MGFP), as well as calculated a difference ERP and difference MGFP between the two conditions.  
> 
> So I have: 
> STUDY1 – cond1 & cond2, calculated DIFF1
> STUDY2 – cond3 & cond4, calculated DIFF2
> 
> My general approach has been 
> Load STUDY 1 and calculate the ERP for each condition (I have actually done this by looping through an EEG(x).erp variable I inserted earlier, though I now realise I could have got the same info more easily from STUDY.changrp.erpdata)
> Do the subtraction DIFF1 = ERPcond2 – ERPcond1
> Load STUDY 2 and do the same
> I'm then left with DIFF1 and DIFF2 (60 elecs x 500 pts x 12 ss)
> 
> What I'd like to do is somehow use the std_erpplot function to plot, compare and do the stats on these two new waves, but I don't have the a whole new 'STUDY' structure to go with them. Looking at the the help for std_erpplot it looks like you do need a STUDY as an input.
> 
> I then had a look through std_erpplot.m to see if I could find an internal plotting function that could work with a [elecs, points, ss] matrix,  and I found std_plotcurve… Am I heading in the right direction?
> 
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