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Thanks. Also, below is a short routine I use in SPM8, that you had helped
me with in the past, to make sure each subjects data has all the conditions
(even if there are no trials in it).

 % after epoching
cnew = {S.trialdef.conditionlabel};

% after averaging
corig = D.condlist;

c = zeros(numel(cnew), numel(corig));
[sel1, sel2] = spm_match_str(cnew, corig);

for i = 1:length(sel1)
    c(sel1(i), sel2(i)) = 1;
end

nrepl = zeros(1, numel(cnew));
nrepl(sel1) = D.repl;

S = [];
S.D = D;
S.c = c;
S.label = cnew;
S.WeightAve = 0;
D = spm_eeg_weight_epochs(S);

S = [];
S.D = D;
for m = 1:D.ntrials
    rpl = D.repl(m);
    if rpl>100
        D = repl(D,m,0);
    end
end
save (D);


However, it seems that in SPM12 "spm_eeg_weight_epochs" doesn't exist. I
tried using the "spm_eeg_contrast" instead but it doesn't create the
missing conditions and changes are the number of repl in the conditions
that are already present.

Any help would be much appreciated.

Thanks
-Muhammad






On Wed, Jun 24, 2015 at 12:53 PM, Vladimir Litvak <[log in to unmask]
> wrote:

> See https://www.jiscmail.ac.uk/cgi-bin/webadmin?A2=SPM;10699a6c.1310
>
> On Wed, Jun 24, 2015 at 5:43 PM, Muhammad Adeel Parvaz <[log in to unmask]>
> wrote:
>
>> Hi,
>>
>> I have been using 'reject' function in SPM8 to get rid of some of the
>> trials from the data. Apparently SPM12 doesn't have the 'reject' function.
>> Is there a homologous function that I can use instead of 'reject'?
>>
>> Thanks
>> -Muhammad
>>
>
>