[FieldTrip] Problems with statistics for circular data

[Thomas.Baumgarten at med.uni-duesseldorf.de]

Dear Tobias,
Thank you for the hint! Indeed, this makes the calculation of the circular difference much easier and the resulting values stay between -pi and pi. Sorry that I didn't think of this, since the purpose of the function is rather obvious.

Best regards,
Thomas

Von: fieldtrip-bounces at science.ru.nl [mailto:fieldtrip-bounces at science.ru.nl] Im Auftrag von Tobias Staudigl
Gesendet: Mittwoch, 15. Januar 2014 10:19
An: FieldTrip discussion list
Betreff: Re: [FieldTrip] Problems with statistics for circular data

Dear Thomas,

try using circ_dist.m (in the circ_stats toolbox by Berens).
This should solve the circular difference issue.

all the best,
Tobias

Am 15.01.2014 09:35, schrieb Thomas.Baumgarten at med.uni-duesseldorf.de<mailto:Thomas.Baumgarten at med.uni-duesseldorf.de>:
Dear FieldTrip users,
I am working on a set of circular data (phase angles of ongoing oscillations computed via Hilbert transform) and would like to statistically compare two conditions (A,B). For this, I use the circular statistics toolbox for matlab by P. Berens. I worked on this problem from two different angles:
1. First, I tried to directly compare the two conditions via the Watson-Williams two-sample test (function: circ_wwtest). Unfortunately, this didn't work out, since the test requires an average resultant vector length of > 0.45 for n >= 11 entries/ subjects, an assumption which is not met by my data.
2. Second, I tried to calculate the angle of difference between the two conditions (angle(A) - angle(B)) and then used  the one-sample mean angle test (function: circ_mtest) to test if the resulting angle of difference is significantly different from zero. Here, the following problems arise: Since the resulting angles for A and B range from -pi to +pi, there are cases when the subtraction of the two angles results in roughly +2pi or -2pi (e.g. cases where (A = pi) - (B = -pi) = 2pi), resulting in an error from the circ_mtest function. I tried to solve this problem by using a modulus (2pi) operation (i.e. by 'cleaning out' the redundant circumventions while at the same time preserving the angle information), but unfortunately this didn't work out either.
The only other option I can think of would be to generate surrogate data (i.e. a matrix with the same dimensions as the matrix with the angles of difference , only filled with zeros) and to apply a cluster-based permutation test (similar to ft_freqstatitics). Although this would take care of my multiple-comparison problem, I am not quite sure if the cluster correction is still valid in this case and if this test would work for circular data.
I would greatly appreciate any comments and advice on this matter.
Thanks for your help,
Thomas


Thomas Baumgarten, PhD Student
Institute of Clinical Neuroscience and Medical Psychology, Medical Faculty, Heinrich-Heine-University Düsseldorf, Universitätsstraße 1, 40225 Düsseldorf, Germany




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Dr. Tobias Staudigl

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