create.samples: Create a Sample Membership Character Variable
In BCA: Business and Customer Analytics

Description Usage Arguments Details Value Author(s) See Also Examples

Provides a character vector with possible values of "Estimation", "Validation" and "Holdout" that can then be used to assign observations of a data frame to estimation, validation, or (optionally) holdsout samples using the subset option of a variety of functions.

1	create.samples(x, est=0.34, val=0.33, rand.seed=1)

`x`	A data frame.
`est`	The percentage of the total sample to allocate to the estimation sample. The value of `est` should range from zero to one
`val`	The percentage of the total sample to allocate to the validation sample. The value of `val` should range from zero to one
`rand.seed`	A parameter passed to `set.seed` for to specify the seed of the random number generator.

The values of est and val should sum to a value between zero and one. If greater than one, an error is returned. If less than one, the remaining percentage of the sample is allocated to the holdout sample.

A character vector with possible values of "Estimation", "Validation" and (optionally) "Holdout". The length of the vector equals the number of rows in the original data frame.

Dan Putler

set.seed

  data(CCS)
  # Create a new set of samples with 40 percent in each of the estimation and
  # validation samples, and 20 percent in the holdout sample.
  CCS$Sample <- create.samples(CCS, est=0.4, val=0.4)