subset.clv.data: Subsetting clv.data

In CLVTools: Tools for Customer Lifetime Value Estimation

Subsetting clv.data

Description

Returns a subset of the transaction data stored within the given clv.data object which meet conditions. The given expression are forwarded to the data.table of transactions. Possible rows to subset and select are Id, Date, and Price (if present).

Usage

## S3 method for class 'clv.data'
subset(x, subset, select, sample = c("full", "estimation", "holdout"), ...)

Arguments

x	clv.data to subset
subset	logical expression indicating rows to keep
select	expression indicating columns to keep
sample	Name of sample for which transactions should be extracted,
...	further arguments passed to data.table::subset

Value

A copy of the data.table of selected transactions. May contain columns Id, Date, and Price.

See Also

data.table's subset

Examples

 # dont test because ncpu=2 limit on cran (too fast)
library(data.table) # for between()
data(cdnow)

clv.cdnow <- clvdata(cdnow,
  date.format="ymd",
  time.unit = "week",
  estimation.split = "1997-09-30")

# all transactions of customer "1"
subset(clv.cdnow, Id=="1")
subset(clv.cdnow, subset = Id=="1")

# all transactions of customer "111" in the estimation period...
subset(clv.cdnow, Id=="111", sample="estimation")
# ... and in the holdout period
subset(clv.cdnow, Id=="111", sample="holdout")

# all transactions of customers "1", "2", and "999"
subset(clv.cdnow, Id %in% c("1","2","999"))

# all transactions on "1997-02-16"
subset(clv.cdnow, Date == "1997-02-16")

# all transactions between "1997-02-01" and "1997-02-16"
subset(clv.cdnow, Date >= "1997-02-01" & Date <= "1997-02-16")
# same using data.table's between
subset(clv.cdnow, between(Date, "1997-02-01","1997-02-16"))

# all transactions with a value between 50 and 100
subset(clv.cdnow, Price >= 50 & Price <= 100)
# same using data.table's between
subset(clv.cdnow, between(Price, 50, 100))

# only keep Id of transactions on "1997-02-16"
subset(clv.cdnow, Date == "1997-02-16", "Id")

CLVTools documentation built on Oct. 24, 2023, 1:06 a.m.