rule_dist: Rule distance
In egenn/rtemis: Machine Learning and Visualization

rule_dist

R Documentation

Rule distance

Description

Calculate pairwise distance among a set of rules or between two sets of rules, where each rule defines a subpopulation.

Usage

rule_dist(
  x,
  rules1,
  rules2 = NULL,
  print_plot = TRUE,
  plot_type = c("static", "interactive"),
  heat_lo = "black",
  heat_mid = NA,
  heat_hi = "#F48024",
  verbosity = 1L
)

Arguments

`x`	Data frame / matrix: Input features (cases by features).
`rules1`	Character, vector: Rules as combination of conditions on the features of `x`.
`rules2`	String, vector, Optional: Rules as combination of conditions on the features of `x`.
`print_plot`	Logical: If TRUE, plot heatmap for calculated distance.
`plot_type`	Character: "static", "interactive": type of graphics to use, base or plotly, respectively.
`heat_lo`	Color: Heatmap low color.
`heat_mid`	Color: Heatmap mid color. Default = NA (i.e. create gradient from `heat_lo` to `heat_hi`)
`heat_hi`	Colo: Heatmap hi colo.
`verbosity`	Integer: Verbosity level.