Make an unconditional split dataset

Make a conditional split dataset

Make a split dataset

Usage

make_unconditional_splits(data, niter = NULL)

make_conditional_splits(cdvar = NULL, data, loop = FALSE)

make_splits(cdvar = NULL, data, cdloop = FALSE, niter = NULL)

Arguments

data: A data.table, data.frame, matrix, or list containing the cognitive measure data
niter: Number of iterations to conduct for an unconditional split routine
cdvar: Character string naming auxiliary variable by which to condition splits
loop: Boolean declaring whether to use a for loop. The default FALSE will generate splits and operate on an expanded data.table in-memory. If your machine has limited memory, set this argument to TRUE in order to process splits sequentially. The default option should be much faster.
cdloop: Boolean passed to loop argument of make_conditional_splits(). Ignored when conducting unconditional splits.