DATAFRAME: Data.frame Representation for arules Objects

In arules: Mining Association Rules and Frequent Itemsets

Data.frame Representation for arules Objects

Description

Provides the generic function DATAFRAME() and the methods to create a data.frame representation from some arules objects. These methods are used for the coercion to a data.frame, but offer more control over the coercion process (item separators, etc.).

Usage

DATAFRAME(from, ...)

## S4 method for signature 'rules'
DATAFRAME(from, separate = TRUE, ...)

## S4 method for signature 'itemsets'
DATAFRAME(from, ...)

## S4 method for signature 'itemMatrix'
DATAFRAME(from, ...)

Arguments

from	the object to be converted into a data.frame.
...	further arguments are passed on to the labels() method defined for the object in from.
separate	logical; separate LHS and RHS in separate columns? (only for rules)

Details

Using DATAFRAME() is equivalent to the standard coercion as(x, "data.frame"). However, for rules, the argument separate = TRUE will produce separate columns for the LHS and the RHS of the rule.

Furthermore, the arguments itemSep, setStart, setEnd (and ruleSep for separate = FALSE) will be passed on to the labels() method for the object specified in from.

Value

a data.frame.

Author(s)

Michael Hahsler

See Also

Other import/export: LIST(), pmml, read, write()

Examples

data(Adult)
  
DATAFRAME(head(Adult))
DATAFRAME(head(Adult), setStart = '', itemSep = ' + ', setEnd = '')

rules <- apriori(Adult, 
  parameter = list(supp = 0.5, conf = 0.9, target = "rules"))
rules <- head(rules, by = "conf")


### default coercions (same as as(rules, "data.frame"))
DATAFRAME(rules)

DATAFRAME(rules, separate = TRUE)
DATAFRAME(rules, separate = TRUE, setStart = '', itemSep = ' + ', setEnd = '')

arules documentation built on April 1, 2023, 12:05 a.m.