Creates a customer-by-time matrix with 1's in periods that a customer made a transaction and 0's otherwise.
event log, which is a data frame with columns for customer ID ("cust"), date ("date"), and optionally other columns such as "sales". Each row represents an event, such as a transaction. If the dates are not formatted to be in the order year-month-day, the columns of the customer-by-time matrix may not be ordered chronologically if the "date" column does not consist of date objects (R will order them alphabetically). This will cause problems with other functions, so it is better to convert the date column to date objects before running this function.
Reach customer-by-time matrix.
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# Create event log from file "cdnowElog.csv", which has # customer IDs in the second column, dates in the third column, and # sales numbers in the fifth column. elog <- dc.ReadLines(system.file("data/cdnowElog.csv", package="BTYD"),2,3,5) # Given that the dates are in the order year-month-day, # it is not strictly necessary to convert the date column # to date formats. However, it is good practice: elog[,"date"] <- as.Date(elog[,"date"], "%Y%m%d") reach.cbt <- dc.CreateReachCBT(elog)