as_partition_step: Create a partition object from a data frame

In USCbiostats/partition: Agglomerative Partitioning Framework for Dimension Reduction

Create a partition object from a data frame

Description

as_partition_step() creates a partition_step object. partition_steps are used while iterating through the partition algorithm: it stores necessary information about how to proceed in the partitioning, such as the information threshold. as_partition_step() is primarily called internally by partition() but can be helpful while developing partitioners.

Usage

as_partition_step(
  .x,
  threshold = NA,
  reduced_data = NA,
  target = NA,
  metric = NA,
  tolerance = 0.01,
  var_prefix = NA,
  partitioner = NA,
  ...
)

Arguments

.x	a data.frame or partition_step object
threshold	The minimum information loss allowable
reduced_data	A data set with reduced variables
target	A character or integer vector: the variables to reduce
metric	A measure of information
tolerance	A tolerance around the threshold to accept a reduction
var_prefix	Variable name for reduced variables
partitioner	A partitioner, a ⁠part_*()⁠ function or one created with as_partitioner().
...	Other objects to store during the partition step

Value

a partition_step object

Examples

.df <- data.frame(x = rnorm(100), y = rnorm(100))
as_partition_step(.df, threshold = .6)

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