R 同一数据源多切分的关联规则挖掘

目标：在每个报告中，为每个部门列出前5个关联规则（按置信度）

我的现有语法和测试数据：

# Create fake data; 1= used report, 0 = didn't use report
data <- data.frame(Dept=c('A','A','A','B','B','B'), 
              Rep1=c(1,1,1,1,1,1), 
              Rep2=c(0,0,0,1,1,1), 
              Rep3=c(1,1,1,0,0,0),
              Rep4=c(0,1,0,1,1,0),
              Rep5=c(0,0,0,0,0,0),
              Rep6=c(1,1,0,0,1,0),
              Rep7=c(1,1,1,1,1,0),
              Rep8=c(0,0,0,1,1,0),
              Rep9=c(1,0,0,1,1,0),
              Rep10=c(1,1,0,0,1,1)
              )

# Turn all variables to factors
data<-data.frame(lapply(data, factor))

# Changes 0s to NAs, only interested in rules where the report was used
data[data==0]<-NA

# lapply command to run apriori on the data when split by Dept
rules <- lapply(split(data, list(data$Dept)), function(x) {
  # Turn split data into transactions
  temp <- as(x[ , 2:length(x)], "transactions")
  # Create rules; artificially low parameters for testing
  temp <- apriori(temp, parameter = list(support=0.01, confidence=0.1,  minlen=2, maxlen=2))
  # Order rules by confidence, eventually will select top 5 (I'm able to do that), and change it to a data frame for later use
  temp <- as(sort(temp, by = "confidence")[0:length(temp)], "data.frame")
})  

# Breaks out the results into separate data.frames
list2env(rules,.GlobalEnv)

理想情况下，我的data.frames应该沿着

仅报告9数据框的A部门

仅报告4数据框的部门A

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您需要查看规则模板，将规则的左侧（LHS）限制为某个部门。请看一下

中的示例？阿鲁勒斯的外观

将LHS限制在某个部门的代码如下所示：

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rules\u Rep9我正在考虑使用子集，它确实提供了我想要的额外中断。理想情况下，我希望语法能够产生所有可能的中断，而不是一次只运行一个中断（IRL，有更多的部门和报告）。有什么想法吗？您可以轻松地运行上面的代码或在for循环中使用子集，如
for（c中的dept（“a”、“B”等）{select subset and mine rules}
。
rules                support   confidence  lift
{Rep9=1}=>{Rep6=1}  .3333333   1.00000000  1.5
{Rep4=1}=>{Rep6=1}  .3333333   1.00000000  1.5
...    

rules                support   confidence  lift
{Rep9=1}=>{Rep6=1}  .3333333   1.00000000  1.5
{Rep9=1}=>{Rep10=1}  .3333333   1.00000000  1.5    
...

rules                support   confidence  lift
{Rep4=1}=>{Rep6=1}  .3333333   1.00000000  1.5
{Rep4=1}=>{Rep10=1}  .3333333   1.00000000  1.5    
...