Description Usage Arguments Value Author(s) See Also Examples
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).
1 | splitControl(m, R = 1, grouping = NULL)
|
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. |
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.
Andreas Alfons
perrySplits
, randomSplits
,
foldControl
, bootControl
1 2 3 | set.seed(1234) # set seed for reproducibility
perrySplits(20, splitControl(m = 5))
perrySplits(20, splitControl(m = 5, R = 10))
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