arulesSequences (version 0.2-19)

sequencerules-class: Class "sequencerules" --- Collections of Sequential Rules

Description

Represents a collection of sequential rules and their associated quality measure. That is, the elements in the consequent occur at a later time than the elements of the antecedent.

Objects from the Class

Typically objects are created by a sequence rule mining algorithm as the result value, e.g. method ruleInduction.

Objects can be created by calls of the form new("sequencerules", ...).

Slots

elements:

an object of class itemsets containing a sparse representation of the unique elements of a sequence.

lhs:

an object of class '>sgCMatrix containing a sparse representation of the left-hand sides of the rules (antecedent sequences).

rhs:

an object of class '>sgCMatrix containing a sparse representation of the right-hand sides of the rules (consequent sequences).

ruleInfo:

a data.frame which may contain additional information on a sequence rule.

quality:

a data.frame containing the quality measures of a sequence rule.

Extends

Class "associations", directly.

Methods

coerce

signature(from = "sequencerules", to = "list")

coerce

signature(from = "sequencerules", to = "data.frame")

coerce

signature(from = "sequencerules", to = "sequences"); coerce a collection of sequence rules to a collection of sequences by appending to each left-hand (antecedent) sequence its right-hand (consequent) sequence.

c

signature(x = "sequencerules")

coverage

signature(x = "sequencerules"); returns the support values of the left-hand side (antecedent) sequences.

duplicated

signature(x = "sequencerules")

labels

signature(x = "sequencerules")

ruleInfo

signature(object = "sequencerules")

ruleInfo<-

signature(object = "sequencerules")

inspect

signature(x = "sequencerules")

is.redundant

signature(x = "sequencerules"); returns a logical vector indicating if a rule has a proper subset in x which has the same right-hand side and the same or a higher confidence.

labels

signature(object = "sequencerules")

length

signature(x = "sequencerules")

lhs

signature(x = "sequencerules")

match

signature(x = "sequencerules")

rhs

signature(x = "sequencerules")

show

signature(object = "sequencerules")

size

signature(x = "sequencerules")

subset

signature(x = "sequencerules")

summary

signature(object = "sequencerules")

unique

signature(x = "sequencerules")

See Also

Class '>sgCMatrix, itemsets, associations, '>sequences, method ruleInduction, is.redundant, function cspade

Examples

# NOT RUN {
## continue example
example(ruleInduction, package = "arulesSequences")
cbind(as(r2, "data.frame"), 
      coverage = coverage(r2))

## coerce to sequences
as(as(r2, "sequences"), "data.frame")

## find redundant rules
is.redundant(r2, measure = "lift")
# }