be_ept_tfce_diff

[paulsowman]

Hi, great toolbox. Thanks for making it available. I've been working through the tutorials and it seems that the function: be_ept_tfce_diff is not part of the toolbox. Any chance I could get a copy?

Thanks, Paul

[behinger]

Hi! Thanks!

I never came around to make this function pretty, but I really should do it ;) In the meanwhile here is the (non-pretty) function. https://gist.github.com/behinger/c507559fabe0cb472d88910fdc9bf8f3

If you prefer to use robust statistics (yuens-t-test) based on winsorized mean & variance you can find it here: https://gist.github.com/behinger/e6d60125bc7b72dc5fbf26d8073be057

The second functions needs the dependency limo_yuen_ttest which can be found here: https://github.com/LIMO-EEG-Toolbox/limo_eeg/blob/master/limo_yuend_ttest.m

My plan is to combine these functions so that one can easily exchange the statistics in a functional programming way. But I didn't came around to do it yet.

Please note that you are completly free to use whatever statistics you want to do, our main goal is to write a 1st level deconvolution toolbox and let the user choose their 2nd (group) level statistical analysis.

[paulsowman]

Thanks, much appreciated. I’m looking for that instant gratification of getting to the end of the tutorial with an output that looks pretty like yours!

Thanks again for the tools. P

From: Benedikt Ehinger notifications@github.com Reply-To: unfoldtoolbox/unfold reply@reply.github.com Date: Wednesday, 24 October 2018 at 9:56 pm To: unfoldtoolbox/unfold unfold@noreply.github.com Cc: Paul Sowman paulsowman@gmail.com, Author author@noreply.github.com Subject: Re: [unfoldtoolbox/unfold] be_ept_tfce_diff (#58)

Hi! Thanks!

I never came around to make this function pretty, but I really should do it ;) In the meanwhile here is the (non-pretty) function. https://gist.github.com/behinger/c507559fabe0cb472d88910fdc9bf8f3

If you prefer to use robust statistics (yuens-t-test) based on winsorized mean & variance you can find it here: https://gist.github.com/behinger/e6d60125bc7b72dc5fbf26d8073be057

The second functions needs the dependency limo_yuen_ttest which can be found here: https://github.com/LIMO-EEG-Toolbox/limo_eeg/blob/master/limo_yuend_ttest.m

My plan is to combine these functions so that one can easily exchange the statistics in a functional programming way. But I didn't came around to do it yet.

Please note that you are completly free to use whatever statistics you want to do, our main goal is to write a 1st level deconvolution toolbox and let the user choose their 2nd (group) level statistical analysis.

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