ruleExplorer: Explore Association Rules Interactively

In arulesViz: Visualizing Association Rules and Frequent Itemsets

Explore Association Rules Interactively

Description

Explore association rules using interactive manipulations and visualization using shiny.

Usage

ruleExplorer(x, sidebarWidth = 2, graphHeight = "600px")

Arguments

x	a set of rules, a transactions object or a data.frame.
sidebarWidth	width of the sidebar as a number between 0 (= 0% of the display width) and 12 (= 100% of the display width).
graphHeight	height of the plots in pixels. Increase if you have a larger/higher resolution display.

Value

returns a shiny app.

Author(s)

Tyler Giallanza and Michael Hahsler. Adapted from functions originally created by Andrew Brooks. See Rsenal for the original code.

References

Hahsler M (2017). arulesViz: Interactive Visualization of Association Rules with R. R Journal, 9(2):163-175. ISSN 2073-4859. \Sexpr[results=rd]{tools:::Rd_expr_doi("10.32614/RJ-2017-047")}.

See Also

plot() with engine = "html", inspectDT(), arules::apriori().

Examples

## Not run: 
data(Groceries)

# explore pre-mined rules
rules <- apriori(Groceries,
  parameter = list(support = 0.001, confidence = 0.8)
)
rules

ruleExplorer(rules)

# mine and explore rules on the fly
data(iris)
ruleExplorer(iris)

## End(Not run)

arulesViz documentation built on May 29, 2024, 4:37 a.m.