| extract {arules} | R Documentation |
Methods for "[": Extraction or Subsetting arules Objects
Description
Methods for "[", i.e., extraction or subsetting for arules objects.
Usage
## S4 method for signature 'itemMatrix,ANY,ANY,ANY'
x[i, j, ..., drop = TRUE]
## S4 method for signature 'transactions,ANY,ANY,ANY'
x[i, j, ..., drop = TRUE]
## S4 method for signature 'tidLists,ANY,ANY,ANY'
x[i, j, ..., drop = TRUE]
## S4 method for signature 'rules,ANY,ANY,ANY'
x[i, j, ..., drop = TRUE]
## S4 method for signature 'itemsets,ANY,ANY,ANY'
x[i, j, ..., drop = TRUE]
Arguments
x |
an object of class itemMatrix, transactions or associations. |
i |
select rows/sets using an integer vector containing row numbers or a logical vector. |
j |
select columns/items using an integer vector containing column numbers (i.e., item IDs), a logical vector or a vector of strings containing parts of item labels. |
... |
further arguments are ignored. |
drop |
ignored. |
Author(s)
Michael Hahsler
See Also
Other associations functions:
abbreviate(),
associations-class,
c(),
duplicated(),
inspect(),
is.closed(),
is.generator(),
is.maximal(),
is.redundant(),
is.significant(),
is.superset(),
itemsets-class,
match(),
rules-class,
sample(),
sets,
size(),
sort(),
unique()
Other itemMatrix and transactions functions:
abbreviate(),
crossTable(),
c(),
duplicated(),
hierarchy,
image(),
inspect(),
is.superset(),
itemFrequencyPlot(),
itemFrequency(),
itemMatrix-class,
match(),
merge(),
random.transactions(),
sample(),
sets,
size(),
supportingTransactions(),
tidLists-class,
transactions-class,
unique()
Examples
data(Adult)
Adult
## select first 10 transactions
Adult[1:10]
## select first 10 items for first 100 transactions
Adult[1:100, 1:10]
## select the first 100 transactions for the items containing
## "income" or "age=Young" in their labels
Adult[1:100, c("income=small", "income=large" ,"age=Young")]