randomize_feature_order: Randomize feature order to eliminate any position-dependent...

In mikropml: User-Friendly R Package for Supervised Machine Learning Pipelines

Randomize feature order to eliminate any position-dependent effects

Description

Randomize feature order to eliminate any position-dependent effects

Usage

randomize_feature_order(dataset, outcome_colname)

Arguments

dataset	Data frame with an outcome variable and other columns as features. Alternatively, the input can be in TreeSummarizedExperiment format.
outcome_colname	Column name as a string of the outcome variable (default NULL; the first column will be chosen automatically).

Value

Dataset with feature order randomized.

Author(s)

Nick Lesniak, [e-mail]

Kelly Sovacool, [e-mail]

Examples

dat <- data.frame(
  outcome = c("1", "2", "3"),
  a = 4:6, b = 7:9, c = 10:12, d = 13:15
)
randomize_feature_order(dat, "outcome")

mikropml documentation built on Dec. 1, 2025, 9:08 a.m.