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.
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.
References
Hahsler M (2017). arulesViz: Interactive Visualization of
Association Rules with R. R Journal, 9(2):163-175. ISSN 2073-4859.
doi:10.32614/RJ-2017-047
.
Author
Tyler Giallanza and Michael Hahsler. Adapted from functions
originally created by Andrew Brooks. See
Rsenal for the original code.
Examples
if (FALSE) {
# this example can only be run manually from the console.
# explore pre-mined rules
data(Groceries)
rules <- apriori(Groceries, parameter =
list(support = 0.001, confidence = 0.8))
ruleExplorer(rules)
# mine and explore rules on the fly
ruleExplorer(iris)
}