arulesSequences (version 0.2-22)

itemFrequency-methods: Count Items or Itemsets

Description

itemFrequency counts the number of distinct occurrences of items or itemsets (elements) in a collection of sequences. That is, multiple occurrences within a sequence are ignored.

itemTable cross-tabulates the counts an item or itemset occurs in a sequence.

nitems computes the total number of distinct occurrences of items or itemsets in a collection of sequences.

dim retrieves the dimensions of an object of class '>sequences or '>timedsequences.

length retrieves the number of elements of a collection of sequences or sequence rules.

Usage

# S4 method for sequences
itemFrequency(x, itemsets = FALSE, type = c("absolute", "relative"))
# S4 method for sequences
itemTable(x, itemsets = FALSE)
# S4 method for sequences
nitems(x, itemsets = FALSE)
# S4 method for sequences
dim(x)
# S4 method for timedsequences
dim(x)
# S4 method for sequences
length(x)
# S4 method for sequencerules
length(x)

Arguments

x

an object.

itemsets

a logical value specifying the type of count.

type

a string value specifying the scale of count.

Value

For itemFrequency returns a vector of counts corresponding with the reference set of distinct items or itemsets.

For itemTable returns a table with the rownames corresponding with the reference set of distinct items or itemsets.

For nitems a scalar value.

For dim and class sequences a vector of length three containing the number of sequences and the dimension of the reference set of distinct itemsets. For class timedsequences the fourth element contains the number of distinct event times.

For length a scalar value.

See Also

Class '>sequences, '>timedsequences, method size, subset.

Examples

# NOT RUN {
## continue example
example(cspade)

##
itemFrequency(s2)
itemFrequency(s2, itemsets = TRUE)

##
itemTable(s2)
itemTable(s2, itemsets = TRUE)

##
nitems(s2)
nitems(s2, itemsets = TRUE)

##
length(s2)
dim(s2)

##
z <- as(zaki, "timedsequences")
dim(z)
# }

Run the code above in your browser using DataCamp Workspace