Permute partitions — test_permutation • partition

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.

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().
...: arguments passed to partition()
nperm: Number of permuted data sets to test. Default is 100.

Value

a tibble with summaries on observed and permuted data (the means of the permuted summaries), as well as list-cols containing them