Today we’ll start with a consultation:
I am running some machine learning “decoding” analyses on EEG data, and am trying to figure out the best way to assess these effects using statistical tests. Each subject produces something similar to a correlation matrix (confusion matrix), and I need to figure out what statistical test will be appropriate considering the non-independence of the observations.
Then we’ll move on to machine learning in R. Last week we compiled a bunch of learning resources. This week we’ll come up with a plan for traversing this stuff, and begin!