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:
man integer giving the number of observations or
groups of observations to be used as test data.
Ran integer giving the number of random data
splits.
groupingif 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.