Description Usage Arguments Value Author(s) References See Also Examples
Generate an object that controls how to draw bootstrap samples and which bootstrap estimator of prediction error to compute.
1 | bootControl(R = 1, type = c("0.632", "out-of-bag"), grouping = NULL)
|
R |
an integer giving the number of bootstrap samples. |
type |
a character string specifying a bootstrap estimator. Possible
values are |
grouping |
a factor specifying groups of observations. |
An object of class "bootControl"
with the following
components:
R
an integer giving the number of bootstrap samples.
type
a character string specifying the type of bootstrap estimator.
grouping
if supplied, a factor specifying groups of observations. The groups will then be resampled rather than individual observations such that all observations within a group belong either to the bootstrap sample or the test data.
Andreas Alfons
Efron, B. (1983) Estimating the error rate of a prediction rule: improvement on cross-validation. Journal of the American Statistical Association, 78(382), 316–331.
perrySplits
, bootSamples
,
foldControl
, splitControl
1 2 3 | set.seed(1234) # set seed for reproducibility
perrySplits(20, bootControl())
perrySplits(20, bootControl(R = 10))
|
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