[FieldTrip] Statistical testing for classification metrics
e.eliftulay at gmail.com
Mon May 23 16:29:16 CEST 2022
Dear fieldtrip community
I have a question about how I can perform statistical testing for selected
metrics (such as for accuracy). Actually I want to obtain p-values for my
accuracy results via cluster-based permutation test.
When I check the link below
I can not see anything about it. But it says
*The function supports cross-validation, searchlight analysis,
generalization, nested preprocessing, a variety of classification and
regression metrics, as well as statistical testing of these metrics*.
Here is some part of my script;
cfg.method = 'mvpa';
cfg.design = [ones(length(GROUP1),1); 2*ones(length(GROUP2),1)];
cfg.features = 'chan';
cfg.mvpa = ;
cfg.mvpa.classifier = 'lda';
cfg.mvpa.metric = 'accuracy';
cfg.mvpa.k = 10;
stat = ft_freqstatistics (cfg, data1, data2, data3, ...) where the data
obtained from ft_freqanalysis for each subject.
Thank you in advance for your consideration. I am looking forward to
hearing from you.
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