Directors are functions that tell the partition algorithm what
to try to reduce. as_director() is a helper function to create new
directors to be used in partitioners. partitioners can be created with
as_partitioner().
direct_distance() fits a distance matrix using either Pearson's or
Spearman's correlation and finds the pair with the smallest distance to
target. If the distance matrix already exists, direct_distance() only
fits the distances for any new reduced variables.
direct_distance_pearson() and direct_distance_spearman() are
convenience functions that directly call the type of distance matrix.
direct_distance(.partition_step, spearman = FALSE)
direct_distance_pearson(.partition_step)
direct_distance_spearman(.partition_step)a partition_step object
Other directors:
as_director(),
direct_k_cluster()