[Eeglablist] SIFT resampling surrogate distributions with 1 trial

[Makoto Miyakoshi]

Dear Winslow,

Yes, unfortunately the bootstrap seems to be designed for across trials.

Makoto

On Sat, Aug 13, 2016 at 4:57 PM, Winslow Strong <winslow.strong at gmail.com>
wrote:

> I'd like to use a resampling technique (e.g. bootstrap) to get p-values
> and test stats for SIFT connectivity metrics for 1 subject across n
> conditions.
>
> This is a steady-state condition study, hence there's only 1 trial per
> condition.  I'm trying to analyze whether certain connectivity metrics
> (i.e. their averages over a condition) are statistically significantly
> different across the conditions.  I was under the impression I could use
> SIFT's surrogate distribution generator to obtain the surrogate
> distribution for these calculations, but when I run that from the GUI for
> bootstrap, I get the error:
>
> "Unable to compute bootstrap distributions for a single trial"
>
> Is this surrogate function only designed to do boostrapping over trials?
> Or is there a way to do it over windows within a condition?
>
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-- 
Makoto Miyakoshi
Swartz Center for Computational Neuroscience
Institute for Neural Computation, University of California San Diego
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