[FieldTrip] Fwd: question about ft_statistics errors

[Rodolphe Nenert]

I may be wrong but as far as i remember, the cluster analysis can only be
done on one value of frequency, average or not.
There is no cfg.avgoverfreq option n your script.
But again i might be wrong.

Rodolphe

On Fri, Jan 14, 2011 at 11:58 AM, Jung, Ki-Young <jungky at korea.ac.kr> wrote:

> Thanks! But I have still trouble with this message.
>
> ??? Error using ==> statistics_montecarlo
> Too many input arguments.
>
> Error in ==> statistics_wrapper at 285
>    [stat, cfg] = statmethod(cfg, dat, cfg.design, 'issource',issource);
>
> Error in ==> ft_freqstatistics at 125
> [stat, cfg] = statistics_wrapper(cfg, varargin{:});
>
> Best regards,
>
> KY
>
> On Fri, Jan 14, 2011 at 1:04 AM, Julian Keil <julian.keil at gmail.com>
> wrote:
> > Hi,
> >
> > did you check with 'which bwlabeln' if you have the respcetive function?
> > It's part of the image processing toolbox for matlab.
> >
> > Good Luck.
> >
> > Julian
> >
> > Am 14.01.2011 um 09:58 schrieb Jung, Ki-Young:
> >
> >> Dear all,
> >>
> >> I'd like to do statistical comparison using cluster based permuation
> >> between two groups on ERP data.
> >> But I am receiving following error messages
> >> ??? Undefined function or method 'bwlabeln' for input arguments of
> >> type 'double'.
> >>
> >> Error in ==> findcluster at 89
> >>  [labelmat(spatdimlev, :, :), num] = bwlabeln(reshape(onoff(spatdimlev,
> :, :),
> >>  nfreq, ntime), 4);
> >>
> >> Error in ==> clusterstat at 194
> >>     posclusobs = findcluster(reshape(postailobs,
> >>     [cfg.dim,1]),channeighbstructmat,cfg.minnbchan);
> >>
> >> Error in ==> statistics_montecarlo at 321
> >>  [stat, cfg] = clusterstat(cfg, statrand, statobs,'issource',issource);
> >>
> >> Error in ==> statistics_wrapper at 285
> >>   [stat, cfg] = statmethod(cfg, dat, cfg.design, 'issource',issource);
> >>
> >> Error in ==> ft_freqstatistics at 125
> >> [stat, cfg] = statistics_wrapper(cfg, varargin{:});
> >>
> >> My configuration for ft_freqstatistics are
> >> cfg = [];
> >> cfg.channel          = 'all';
> >> cfg.latency          = 'all';
> >> cfg.frequency        = [30 50];
> >> cfg.method           = 'montecarlo';
> >> cfg.statistic        = 'indepsamplesT';
> >> cfg.correctm         = 'cluster';
> >> cfg.clusteralpha     = 0.025;
> >> cfg.clusterstatistic = 'maxsum';
> >> cfg.minnbchan        = 2;
> >> cfg.tail             = 0;
> >> cfg.clustertail      = 0;
> >> cfg.alpha            = 0.025;
> >> cfg.numrandomization = 500;
> >> cfg.neighbours       = [ ];
> >> design = [ones(1, 16), ones(1, 16)*2];
> >> cfg.design           = design;
> >> cfg.ivar             = 1;
> >> [stat] = ft_freqstatistics(cfg, mig_grand_avg, con_grand_avg);
> >>
> >>
> >> Data structure of con_grand_avg are
> >>
> >> con_grand_avg =
> >>       label: {27x1 cell}
> >>        freq: [30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48
> 49 50]
> >>        time: [1x21 double]
> >>      dimord: 'subj_chan_freq_time'
> >>   powspctrm: [4-D double]
> >>         cfg: [1x1 struct]
> >>
> >>
> >> Any comment helps me.
> >>
> >>
> >> Best regards,
> >>
> >> Ki-Young Jung
> >>
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> >
> >
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