[FieldTrip] Matlab 2014b compatibility

[alexis david james makin]

Dear Field Trip Users, 


The Field Trip topoplot function ft_topoplotTFR(cfg, grandavg) used to work on Matlab 2011, but gives the following error message in Matlab 2014b:


%%%%%%%%%%
Error using sprintf
Function is not defined for 'matlab.ui.Figure' inputs.

Error in topoplot_common (line 862)
    set(gcf, 'Name', sprintf('%d: %s: %s', gcf, funcname, join_str(', ',dataname)));

Error in ft_topoplotTFR (line 191)
[cfg] = topoplot_common(cfg, varargin{:});
 %%%%%%%

This is arises change to the way Matlab does Figures I believe?  

Is the easiest thing to download the newer version of Fieldtrip? 

Thanks for any advice, 

Cheers

Alexis Makin, University of Liverpool, Uk



> On 13 Nov 2015, at 08:51, Julian Keil <julian.keil at gmail.com> wrote:
> 
> Hi Iris,
> 
> I'm not sure what you want to do with the p-values in the following, but you can multiply your (FDR-corrected) mask with the prob.
> This would look like this: stat_TF.prob_new = stat_TF.prob .* stat_TF.mask;
> 
> Now you only have the significant p-values left in your prob_new-field, everything else is set to 0.
> 
> Hope this helps
> 
> Julian
> 
> ********************
> Dr. Julian Keil
> 
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> Am 13.11.2015 um 09:41 schrieb Steinmann, Iris:
> 
>> Hi everybody,
>>  
>> I' m using the 'ft_freqstatistics' function to find significant differences between two time-frequency spectra
>> (see the used options down below).
>> While fieldtrip calculates the permutation test it throws the following information:
>>  
>> "performing FDR correction for multiple comparisons
>> the returned probabilities are uncorrected, the thresholded mask is corrected"
>>  
>> Since I'm using the p-values for the following analysis and not the thresholded mask, I was wondering how I
>> get my p-values corrected for multiple comparison?
>>  
>> Does anyone has an idea? Thanks in advance!
>>  
>>  
>> I used the following options:
>>  
>> cfg = [];
>> cfg.channel     = 'all';
>> cfg.latency     = [2.3 2.8];
>> cfg.avgoverchan = 'yes';
>> cfg.avgovertime = 'no';
>> cfg.frequency = [9 14];
>> cfg.parameter   = 'powspctrm';
>> cfg.alpha = 0.05;
>> cfg.tail = 0;
>> cfg.correctm = 'fdr';
>> cfg.correcttail = 'prob';
>> cfg.ivar = 1;     
>> cfg.statistic = 'ft_statfun_indepsamplesT';
>> cfg.method = 'montecarlo';            
>> cfg.design = design; % defined in at the beginning of the function
>> cfg.numrandomization = 1000;
>>  
>> stat_TF = ft_freqstatistics(cfg, TF_remove, TF_noremove)
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