R: Recipes for Analysis, Visualization and Machine Learning

Transforming data into transactions

Before creating a mining association rule, you need to transform the data into transactions. In the following recipe, we will introduce how to transform either a list, matrix, or data frame into transactions.

Getting ready

In this recipe, we will generate three different datasets in a list, matrix, or data frame. We can then transform the generated dataset into transactions.

How to do it...

Perform the following steps to transform different formats of data into transactions:

1. First, you have to install and load the package arule:

   > install.packages("arules")
   > library(arules)
   

2. You can then make a list with three vectors containing purchase records:

   > tr_list = list(c("Apple", "Bread", "Cake"),
   + c("Apple", "Bread", ...