perry (version 0.3.1)

splitControl: Control object for random data splits

Description

Generate an object that controls how to split \(n\) observations or groups of observations into training and test data to be used for (repeated) random splitting (also known as random subsampling or Monte Carlo cross-validation).

Usage

splitControl(m, R = 1, grouping = NULL)

Arguments

m

an integer giving the number of observations or groups of observations to be used as test data.

R

an integer giving the number of random data splits.

grouping

a factor specifying groups of observations.

Value

An object of class "splitControl" with the following components:

m

an integer giving the number of observations or groups of observations to be used as test data.

R

an integer giving the number of random data splits.

grouping

if supplied, a factor specifying groups of observations. The data will then be split according to the groups rather than individual observations such that all observations within a group belong either to the training or test data.

See Also

perrySplits, randomSplits, foldControl, bootControl

Examples

# NOT RUN {
set.seed(1234)  # set seed for reproducibility
perrySplits(20, splitControl(m = 5))
perrySplits(20, splitControl(m = 5, R = 10))

# }