R：对所有带规则的篮子的建议

Question

我的数据是这样的交易：

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

我想做推荐，所以我转换数据和构建规则

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

购物车 3 的客户推荐如下：

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] "milk"

但是我怎样才能对所有的篮子提出建议呢？我试过了，但出现错误：

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

我怎样才能运行所有篮子的建议？

Answer 1

试试这个：

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

显然，没有将交易 class 转换为向量的函数。

R：对所有带规则的篮子的建议

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