transactions.read_baskets(con, sep = "[ ]+", info = NULL, iteminfo = NULL,
encoding = "unknown")
- con
{an object of class connection or file name.}
- sep
{a regular expression specifying how fields are separated
in the data file.}
- info
{a character vector specifying the header for columns with
additional transaction information.}
- iteminfo
{a data frame specifying (additional) item information.}
- encoding
{a character string indicating the encoding which is passed
to readlines (see Encoding)}.
Each line of text represents a transaction where items are
separated by a pattern matching the regular expression specified
by sep. Columns with additional information such as customer or time (event)
identifiers are required to come before any item identifiers and to
be separated by sep, and must be specified by info.
Sequential data are identified by the presence of the column identifiers
"sequenceID" (sequence or customer identifier) and "eventID"
(time or event identifier) of slot transactionInfo.
The row names of iteminfo must match the item identifiers
present in the data. However, iteminfo need not contain a
labels column.
An object of class transactions. [object Object]
The item labels are sorted in the order they appear first in the
data.
Class
timedsequences ,
transactions,
function
cspade.
## read example data
x <- read_baskets(con = system.file("misc", "zaki.txt", package =
"arulesSequences"),
info = c("sequenceID","eventID","SIZE"))
as(x, "data.frame")## calendar dates
transactionInfo(x)$Date <-
as.Date(transactionInfo(x)$eventID, origin = "2015-04-01")
transactionInfo(x)
all.equal(transactionInfo(x)$eventID,
as.integer(transactionInfo(x)$Date - as.Date("2015-04-01")))
file