Question

我的CSV文本数据类似于：

citrus fruit,semi-finished bread,margarine,ready soups
tropical fruit,yogurt,coffee
whole milk
pip fruit,yogurt,cream cheese ,meat spreads
other vegetables,whole milk,condensed milk,long life bakery product
whole milk,butter,yogurt,rice,abrasive cleaner

我想将其加载到稀疏事务表单中，这样做的最佳方法是什么？我希望能够在其上使用arules包

Answer 1

您可以使用readLines，然后使用strsplit，然后强制使用arules'transactions对象

tran <- readLines("transactions.csv")      # read all lines
tran <- strsplit(tran, ",", fixed=TRUE)    # split each line by commas, returns a list

library(arules)
tran <- as(tran, Class =  "transactions")            # coerce to transaction object
rules <- apriori(tran, parameter=list(support=0.1))   # etc
inspect(rules[1])

R如何为arules包加载稀疏数据

1 个答案: