tidy_apriori: Tidy Apriori Algorithm

In tidylearn: A Unified Tidy Interface to R's Machine Learning Ecosystem

Tidy Apriori Algorithm

Description

Mine association rules using the Apriori algorithm with tidy output

Usage

tidy_apriori(
  transactions,
  support = 0.01,
  confidence = 0.5,
  minlen = 2,
  maxlen = 10,
  target = "rules"
)

Arguments

transactions	A transactions object or data frame
support	Minimum support (default: 0.01)
confidence	Minimum confidence (default: 0.5)
minlen	Minimum rule length (default: 2)
maxlen	Maximum rule length (default: 10)
target	Type of association mined: "rules" (default), "frequent itemsets", "maximally frequent itemsets"

Value

A list of class "tidy_rules" containing:

• rules_tbl: tibble of rules with lhs, rhs, and quality measures

• rules: original rules object

• parameters: parameters used

Examples

data("Groceries", package = "arules")

# Basic apriori
rules <- tidy_apriori(Groceries, support = 0.001, confidence = 0.5)

# Access rules
rules$rules_tbl

tidylearn documentation built on Feb. 6, 2026, 5:07 p.m.