plotTimingPatterns: Plot timing patterns of sampled customers

In mplatzer/BTYDplus: Probabilistic Models for Assessing and Predicting your Customer Base

Plot timing patterns of sampled customers

Description

Plot timing patterns of sampled customers

Usage

plotTimingPatterns(
  elog,
  n = 40,
  T.cal = NULL,
  T.tot = NULL,
  title = "Sampled Timing Patterns",
  headers = NULL
)

Arguments

elog	Event log, a data.frame with columns cust and transaction time t or date.
n	Number of sampled customers.
T.cal	End of calibration period, which is visualized as a vertical line.
T.tot	End of observation period
title	Plot title.
headers	Vector of length 2 for adding headers to the plot, e.g. c("Calibration", "Holdout").

Examples

data("groceryElog")
plotTimingPatterns(groceryElog, T.tot = "2008-12-31")
plotTimingPatterns(groceryElog, T.cal = "2006-12-31", headers = c("Calibration", "Holdout"))

mplatzer/BTYDplus documentation built on April 9, 2024, 3:11 a.m.