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I am very new to Data Mining. I've got an assignment to print all the association rules against the confidence using Apriori function (Package : arules) in R. But the problem is that it prints only one item on RHS. Below is the program I used :

a_list <- list(
c("I1","I2","I5"),
c("I2","I4"),
c("I2","I3"),
c("I1","I2","I4"),
c("I1","I3"),
c("I2","I3"),
c("I1","I3"),
c("I1","I2","I3","I5"),
c("I1","I2","I3")
)
names(a_list) <- paste("T",c(1:9), "00", sep = "")
table5_1 <- as(a_list, "transactions")
rules <- apriori(table5_1, parameter = list(supp = 0.21, conf = 0.7,
target = "rules"))
inspect(rules)

Output : 

     lhs        rhs  support   confidence lift     count
 [1] {}      => {I2} 0.7777778 0.7777778  1.000000 7    
 [2] {I4}    => {I2} 0.2222222 1.0000000  1.285714 2    
 [3] {I5}    => {I1} 0.2222222 1.0000000  1.500000 2    
 [4] {I5}    => {I2} 0.2222222 1.0000000  1.285714 2    
 [5] {I1,I5} => {I2} 0.2222222 1.0000000  1.285714 2    
 [6] {I2,I5} => {I1} 0.2222222 1.0000000  1.500000 2

Can anyone tell the method by which I can get all the association rules generated ? I tried it with minlen and maxlen but nothing worked for me. Thanks in advance

Rohit Kesarwani
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  • What output were you expecting? Based on the parameters you set (`supp = 0.21, conf = 0.7`), these are all the association rules generated by `apriori()`. – Z.Lin Sep 10 '17 at 12:31
  • @ Z.Lin When I did the same question on paper. I found my answers as : I5 -> I1, I2 including above output – Rohit Kesarwani Sep 10 '17 at 14:27

1 Answers1

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Citing the documentation ?apriori:

Apriori only creates rules with one item in the RHS (Consequent)!

lukeA
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