try this:
> x.t <- split(x$item, x$basketID)
> x.t
$`1`
[1] "bread" "cheese" "milk"
$`2`
[1] "bread" "cheese" "eggs"
$`3`
[1] "bread" "cheese" "beer"
> dput(x.t)
structure(list(`1` = c("bread", "cheese", "milk"), `2` = c("bread",
"cheese", "eggs"), `3` = c("bread", "cheese", "beer")), .Names
Hi,
I am wanting to look at frequent item sets using the arules package. I need
to transform my data into a "transactions" object. The data I read in from a
file has 2 columns, an ID and an item. How do I convert data like this into
a transactions object?
I've tried
class? transactions
but it o
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