map_partition: Map a partition across a range of minimum information

In USCbiostats/partition: Agglomerative Partitioning Framework for Dimension Reduction

Map a partition across a range of minimum information

Description

map_partition() fits partition() across a range of minimum information values, specified in the information argument. The output is a tibble with a row for each value of information, a summary of the partition, and a list-col containing the partition object.

Usage

map_partition(
  .data,
  partitioner = part_icc(),
  ...,
  information = seq(0.1, 0.5, by = 0.1)
)

Arguments

.data	a data set to partition
partitioner	the partitioner to use. The default is part_icc().
...	arguments passed to partition()
information	a vector of minimum information to fit in partition()

Value

a tibble

Examples

set.seed(123)
df <- simulate_block_data(c(3, 4, 5), lower_corr = .4, upper_corr = .6, n = 100)

map_partition(df, partitioner = part_pc1())

USCbiostats/partition documentation built on Feb. 3, 2024, 3:38 a.m.