[Eeglablist] erspboot & newtimef

[Arnaud Delorme]

Dear Rene,

I forgot to mention that the tftopo function can replot your time-frequency decomposition and apply the bootstrap thresholds. I believe it will also work if you feed it the difference significant threshold (but maybe not). See this script for example

http://sccn.ucsd.edu/wiki/Chapter_02:_Writing_EEGLAB_Scripts#Example_script_performing_time-frequency_decompositions_on_all_electrodes

Arno

On 8 Feb 2013, at 21:32, Arnaud Delorme wrote:

> Dear Rene,
> 
> yes, when comparing conditions, the statistical comparison is performed for each pixel.
> Say if you have 200 time points and 100 frequencies, you will get a matrix of 200 x 100 x 2. As for the erspboot for frequencies (100 x 2), the first element in the last dimension contains the lower bound and the second element contains the upper bound.
> 
> If you are into hacking some functions, look up the applyboot subfunction of timecrossf. I believe it is applying the bootstrap mask for all possible configurations.
> 
> Note that the functionality of newtimef you are using is considered obsolete. It is better to build a STUDY with a single subject and 2 conditions, then compute the statistics using data trials. In this case, you can use many different methods for correcting for multiple comparisons. You can also compare more than 2 conditions or build a n x m design. 
> 
> Best,
> 
> Arno
> 
> ps: I think that correction for multiple comparison is not performed when comparing conditions in newtimef. It is only available when analyzing a single dataset.
> 
> On 30 Jan 2013, at 07:27, Rene Huster wrote:
> 
>> 
>> Dear colleagues,
>> 
>> I struggle with the ERSP-masks when comparing conditions using newtimef(). 
>> When comparing two conditions using the resampling options, erspboot provides me with the upper and lower boundaries for the time-frequency plots; these are the first two matrices in erspboot. 
>> However, instead of a third matrix with lower/upper boundaries erspboot contains two full freq*time matrices. 
>> 
>> Unfortunately, I have no idea how to reconstruct the masked ERSP-image for the difference. 
>> 
>> Any help is much appreciated!
>> 
>> Best, 
>> 
>> 
>> René
>> _______________________________________________
>> Eeglablist page: http://sccn.ucsd.edu/eeglab/eeglabmail.html
>> To unsubscribe, send an empty email to eeglablist-unsubscribe at sccn.ucsd.edu
>> For digest mode, send an email with the subject "set digest mime" to eeglablist-request at sccn.ucsd.edu
>