as.data.frame.clv.data: Coerce to a Data Frame

In CLVTools: Tools for Customer Lifetime Value Estimation

Coerce to a Data Frame

Description

Extract a copy of the transaction data stored in the given clv.data object into a data.frame.

Usage

## S3 method for class 'clv.data'
as.data.frame(
  x,
  row.names = NULL,
  optional = NULL,
  ids = NULL,
  sample = c("full", "estimation", "holdout"),
  ...
)

Arguments

x	An object of class clv.data.
row.names	Ignored
optional	Ignored
ids	Character vector of customer ids for which transactions should be extracted. NULL extracts all.
sample	Name of sample for which transactions should be extracted, either "estimation", "holdout", or "full" (default).
...	Ignored

Value

A data.frame with columns Id, Date, and Price (if present).

Examples

 
data("cdnow")
clv.data.cdnow <- clvdata(data.transactions = cdnow,
                          date.format="ymd",
                          time.unit = "w",
                          estimation.split = 37)

# Extract all transaction data (all ids, estimation and holdout period)
df.trans <- as.data.frame(clv.data.cdnow)

# Extract transaction data of estimation period
df.trans <- as.data.frame(clv.data.cdnow, sample="estimation")

# Extract transaction data of ids "1", "2", and "999"
#  (estimation and holdout period)
df.trans <- as.data.frame(clv.data.cdnow, ids = c("1", "2", "999"))

# Extract transaction data of ids "1", "2", and "999" in estimation period
df.trans <- as.data.frame(clv.data.cdnow, ids = c("1", "2", "999"),
                          sample="estimation")

CLVTools documentation built on Oct. 13, 2024, 9:07 a.m.