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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