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arulesSequences (version 0.2-1)

read_baskets: Read Transaction Data

Description

Read transaction data in basket format (with additional temporal or other information) and create an object of class transactions.

Usage

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

Arguments