R：與arules

Question

所有籃子的建議我的數據是這樣的數據：

ID=c("A123","A123","A123","A123","B456","B456","B456","C789","C789") 
item=c("bread", "butter", "milk", "eggs", "meat","milk", "peas", "peas", "meat") 

df=data.frame(cbind(ID, item)) 

ID item 
1 A123 bread 
2 A123 butter 
3 A123 milk 
4 A123 eggs 
5 B456 meat 
6 B456 milk 
7 B456 peas 

我想提出建議，所以我轉換數據和建立規則

library(arules) 
trans = as(split(df$item, df$ID), "transactions") 
rules = apriori(trans, parameter = list(support = 0.006, confidence = 0.25, 
             minlen = 2)) 

建議爲客戶與籃3是發現這樣的：

basket = trans[3] 
rulesMatchLHS = is.subset(rules@lhs,basket) 
suitableRules = rulesMatchLHS & !(is.subset(rules@rhs,basket)) 
order.rules = sort(rules[suitableRules], by = "lift") 
LIST(order.rules@rhs)[[1]] 

[1] 「牛奶」

但是我怎樣才能爲所有籃子提出建議？我想這一點，但得到一個錯誤：

reco=function(x){ 
    rulesMatchLHS = is.subset(rules@lhs,x) 
    suitableRules = rulesMatchLHS & !(is.subset(rules@rhs,x)) 
    order.rules = sort(rules[suitableRules], by = "lift") 
    LIST(order.rules@rhs)[[1]] 
} 

results = lapply(trans, function(x) reco(x)) 

Error in as.vector(data) : no method for coercing this S4 class to a vector

我怎麼能運行所有的籃子的建議？

Answer 1

試試這個：

sapply(1:length(trans), function(x) reco(trans[x])) 

顯然，沒有任何功能，交易類轉換爲矢量。