[FieldTrip] Cluster analysis on correlation statistics

Jörn M. Horschig jorn at artinis.com
Mon Dec 8 10:10:53 CET 2014


Hi Tom,

 

Re: t stat vs r - as I understand it you can permute any statistic you want, it doesn't have to be a t or f. The montecarlo method for solving the multiple comparisons problem is not dependent on your choice of statistic (right guys?).

 

that’s correct, Tom ;)

 

Best,

Jörn

 

--

 

Jörn M. Horschig, Software Engineer

 <http://www.artinis.com/> Artinis Medical Systems  |  +31 481 350 980 

 

From: fieldtrip-bounces at science.ru.nl [mailto:fieldtrip-bounces at science.ru.nl] On Behalf Of Dr C A Brown
Sent: Monday, December 8, 2014 9:56 AM
To: FieldTrip discussion list
Subject: Re: [FieldTrip] Cluster analysis on correlation statistics

 

Hi Tom

 

Great! That would be really helpful, thank you. I'm still learning fieldtrip so it be interesting to see how it works. The ft_statistics_montecarlo function implies that a custom statistic of choice can be used but I haven't looked deep enough into the function yet to get a could understanding of it.

 

If anything publishable comes out of it I can acknowledge you if you wish?

 

Best wishes

Chris 

 

Dr Christopher Brown

Research Associate

 

Sent from a mobile device, please excuse my brevity.

 

----- Reply message -----
From: "Marshall, T.R. (Tom)" <t.marshall at fcdonders.ru.nl <mailto:t.marshall at fcdonders.ru.nl> >
To: "FieldTrip discussion list" <fieldtrip at science.ru.nl <mailto:fieldtrip at science.ru.nl> >
Subject: [FieldTrip] Cluster analysis on correlation statistics
Date: Sat, Dec 6, 2014 15:33





Hi Chris,
 
I wrote some functions for doing this a while ago and would be happy to share them.
 
Re: t stat vs r - as I understand it you can permute any statistic you want, it doesn't have to be a t or f. The montecarlo method for solving the multiple comparisons problem is not dependent on your choice of statistic (right guys?).
 
Best,
Tom
________________________________________
From: fieldtrip-bounces at science.ru.nl <mailto:fieldtrip-bounces at science.ru.nl>  [fieldtrip-bounces at science.ru.nl] on behalf of Dr C A Brown [cb802 at cam.ac.uk]
Sent: 06 December 2014 12:33
To: fieldtrip at science.ru.nl <mailto:fieldtrip at science.ru.nl> 
Subject: Re: [FieldTrip]        Cluster analysis on correlation statistics
 
Hello again,
 
Just to clarify my last email: I'm referring to correlation between either single trial data within subject, or averaged ERPs across subjects, with a behavioral variable. Not linear regression across conditions as is already implemented in the ft_statfun_depsamplesregrT function.
 
Many thanks
Chris
 
Dr Christopher Brown
Research Associate
 
Sent from a mobile device, please excuse my brevity.
 
----- Reply message -----
From: "Christopher Brown" <cb802 at cam.ac.uk <mailto:cb802 at cam.ac.uk> >
To: <fieldtrip at science.ru.nl <mailto:fieldtrip at science.ru.nl> >
Subject: Cluster analysis on correlation statistics
Date: Sat, Dec 6, 2014 07:49
 
 
Dear all
 
I would like to use the cluster analysis functions in Fieldtrip on correlation statistics. I note there has been some discussion about this on this list in the past but I haven't come across the necessary ft_statfun_corr function to allow this analysis. It would be great if somebody has this code and could share it with me; otherwise, I will embark on writing it myself and sharing my results with everyone for feedback. Being new to Fieldtrip I would greatly appreciate any collaborative help with this. May I check my understanding on something before getting started: To allow for multiple comparisons correction using monte carlo for example, as part of a cluster analysis, I presume the output of the function must be t values rather than correlation coefficients? Any other hints as to how to write this are most welcome.
 
Kind regards
 
Chris
 
--
 
Dr Christopher Brown
Research Associate | CamPain Group | Division of Anaesthesia | School of Clinical Medicine | University of Cambridge
 
Box 93
Addenbrooke's Hospital
Hills Road
Cambridge CB2 0QQ
 
01223 256 995
 
 
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