Does anyone have experience in using boot or bootstrap for ERP data 
analysis?

Event-related potentials (ERPs) are electrical recordings from the human 
scalp during the presentation of stimulus events. They are a timeseries with 
msec resolution. They are essentially a timeseries that are defined relative 
to an event onset. They contain data prior to the event and after the event. 
They might be considered similar to a stock-market timeseries, defined in 
relation to some socio-political event.

I want to evaluate whether a group of points after the event are 
significantly different from all the points before the event. There are 
several publications on using randomization or bootstrap analysis to do 
this. I wonder if the packages in R called boot and bootstrap can be used 
for this purpose.

Best, Darren

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