Data preparation

For this analysis, we'll only need to load two packages, as well as the Groceries dataset:

> install.packages("arules")

> install.packages("arulesViz")

> library(arules)

> data(Groceries)

> str(Groceries)
    Formal class 'transactions' [package "arules"] with 3 slots
      ..@ data :Formal class 'ngCMatrix' [package "Matrix"] with 5 
        slots
      .. .. ..@ i : int [1:43367] 13 60 69 78 14 29 98 24 15 29 ...
      .. .. ..@ p : int [1:9836] 0 4 7 8 12 16 21 22 27 28 ...
      .. .. ..@ Dim : int [1:2] 169 9835
      .. .. ..@ Dimnames:List of 2
      .. .. .. ..$ : NULL
      .. .. .. ..$ : NULL
      .. .. ..@ factors : list()
      ..@ itemInfo :'data.frame': 169 obs. of 3 variables:
      .. ..$ labels: chr [1:169] "frankfurter" "sausage" "liver loaf&quot...