Transforms the usual TxV BOLD data matrix Y into vector form, and the usual TxK design matrix X into big sparse matrix form for use in Bayesian GLM.
organize_data(y, X)A list containing fields y and A (see Details)
the TxV data matrix containing the fMRI timeseries
the TxK design matrix with K task-related columns
The Bayesian GLM requires y (a vector of length TV containing the BOLD data)
and X_k (a sparse TVxV matrix corresponding to the kth task regressor) for each task k.
The design matrices are combined as A=cbind(X_1,...,X_K).
The Bayesian GLM requires y (a vector of length TV containing the BOLD data)
and X_k (a sparse TVxV matrix corresponding to the kth task regressor) for each task k.
The design matrices are combined as A=cbind(X_1,...,X_K).