在r中解析为事务 [英] Parsing as.transactions in r

问题描述

我一直在努力重写与data.frames一起使用的代码，以便与ffdf一起使用.我有两列，在大惊小怪之后，我设法进行了拆分，并获得了具有以下外观的列表:

I've been working on rewriting my code that worked with data.frames to work with ffdf. I had two columns, and after a lot of fuss I've managed to do a split and get a list with the following look:

data=
$A
1 2 3
$B
4 5 6

其中，A，B是购物篮"或分组，而"1 2 3"是特定的分组项目.我现在想要的是将这些转换为事务，并希望能够先验.我已经尝试过简单的

where A,B are the "baskets" or groupings, and "1 2 3" specific grouped items. What I want now is to convert these to transactions and hopefully manage to do an apriori. I've tried the simple

as(i, "transaction")

当从data.frame生成数据"时效果很好，但是现在它会产生错误:

which worked well when "data" was generated from a data.frame but now it produces an error:

Error in as(data, "transactions") : 
no method or default for coercing "list" to "transactions"

我已经看到重复的项目会导致这些问题，所以我已经消除了这些问题，但是错误仍然存​​在.

I've seen that duplicate items can cause these problems, so I've eliminated those but the error remains.

推荐答案

应该没问题:

library(arules)
data <- list(A=1:3, B=4:6)

showMethods("coerce", classes="transactions")
# Function: coerce (package methods)
# from="data.frame", to="transactions"
# from="list", to="transactions"
# from="matrix", to="transactions"
# from="ngCMatrix", to="transactions"
# from="tidLists", to="transactions"
# from="transactions", to="data.frame"
# from="transactions", to="list"
# from="transactions", to="matrix"
# from="transactions", to="tidLists"

class(data)
# [1] "list"
as(data, "transactions")
# transactions in sparse format with
#  2 transactions (rows) and
#  6 items (columns)

还请注意，您编写的是as(i, "transaction")而不是as(i, "transactions").

Also note that you wrote as(i, "transaction") and not as(i, "transactions").

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