| image {arules} | R Documentation |
Visual Inspection of Binary Incidence Matrices
Description
Provides image() methods to generate level plots to visually
inspect binary incidence matrices, i.e., objects based on
itemMatrix (e.g., transactions, tidLists, items in
itemsets or rhs/lhs in rules). These plots can be used to identify problems
in a data set (e.g., recording problems with some transactions containing
all items).
Usage
## S4 method for signature 'itemMatrix'
image(x, xlab = "Items (Columns)", ylab = "Elements (Rows)", ...)
## S4 method for signature 'transactions'
image(x, xlab = "Items (Columns)", ylab = "Transactions (Rows)", ...)
## S4 method for signature 'tidLists'
image(x, xlab = "Transactions (Columns)", ylab = "Items/itemsets (Rows)", ...)
Arguments
x |
the object (itemMatrix, transactions or tidLists). |
xlab, ylab |
labels for the plot. |
... |
further arguments passed on to |
Author(s)
Michael Hahsler
See Also
image() in package Matrix
Other itemMatrix and transactions functions:
abbreviate(),
crossTable(),
c(),
duplicated(),
extract,
hierarchy,
inspect(),
is.superset(),
itemFrequencyPlot(),
itemFrequency(),
itemMatrix-class,
match(),
merge(),
random.transactions(),
sample(),
sets,
size(),
supportingTransactions(),
tidLists-class,
transactions-class,
unique()
Examples
data("Epub")
## in this data set we can see that not all
## items were available from the beginning.
image(Epub[1:1000])