The items column in the transactions I am passing to the fpgrowth method are of the form
{
Bag of Organic Bananas,
Cornbread Mix,
Green Chile Hummus,
Guacamole,
Lightly Salted Chips,
Multi-Seeds Cracker,
Organic Cucumber,
Organic Genoa Salami,
Organic Navel Orange,
Organic Stoneground Wheat Crackers,
Organic Whole String Cheese,
Salted Butter,
Seedless Red Grapes,
Tilapia Filet
}
Here I am trying to find products that are frequently together in a transaction.
rules = rCBA::fpgrowth(transactions, support=0.1, confidence=0.1, maxLength=2, parallel=FALSE)
While the example here has the following key-value form for items in transactions
{
Sepal.Length=5.1,
Sepal.Width=3.5,
Petal.Length=1.4,
Petal.Width=0.2,
Species=setosa
}
This example goes on to use "Species" in the consequent parameter
rules = rCBA::fpgrowth(txns, support=0.03, confidence=0.03, maxLength=2, consequent="Species", parallel=FALSE)
As I am new to R, I can't figure out what to do to convert my transactions to this format and what should I put as consequent.