test_permutation() permutes data and partitions the results to generate a
distribution of null statistics for observed information, number of clusters,
and number of observed variables reduced to clusters. The result is a
tibble with a summary of the observed data results and the averages of the
permuted results. The partitions and and permutations are also available in
list-cols. test_permutation() tests across a range of target information
values, as specified in the information argument.
Usage
test_permutation(.data, information = seq(0.1, 0.6, by = 0.1),
partitioner = part_icc(), ..., nperm = 100)
Arguments
.data
a data set to partition
information
a vector of minimum information to fit in partition()
partitioner
the partitioner to use. The default is part_icc().