dc.FilterCustByBirth: Filter Customer by Birth

In BTYD: Implementing BTYD Models with the Log Sum Exp Patch

Description

Filters an event log, keeping all transactions made by customers who made their first transactions in the given time interval.

Usage

dc.FilterCustByBirth(elog, cohort.birth.per)

Arguments

elog	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. The date column must be formatted as Date objects.
cohort.birth.per	Time interval used to filter the event log. Can be specified as a Date object or a vector of two Dates. If one date object is used, the birth period is from the minimum date in the dataset through the given date. If two dates are given, the birth period is set between (inclusive) the two dates.

Value

event log with only rows from customers who made their first transaction within the birth period.

Examples

# 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)

# converting the date column to Date objects is
# necessary for this function.
elog$date <- as.Date(elog$date, "%Y%m%d")

# starting date. Note that it must be a Date object.
start.date <- as.Date("1997-01-01")
# ending date. Note that it must be a Date object.
end.date <- as.Date("1997-01-31")

# Filter the elog to include only customers who made their
# first transaction in January 1997
filtered.elog <- dc.FilterCustByBirth(elog, c(start.date, end.date))

BTYD documentation built on Nov. 18, 2021, 1:10 a.m.