as.represampling: Resampling objects with repetition, i.e. sets of partitionings or bootstrap samples

Description

Functions for handling represampling objects, i.e. lists of resampling objects.

Usage

as.represampling(object, ...)
# S3 method for list
as.represampling(object, ...)
# S3 method for represampling
print(x, ...)
is_represampling(object)

Value

as.represampling methods return an object of class represampling

with the contents of object.

Arguments

object: object of class represampling, or a list to be coerced to this class.
...: currently not used.
x: object of class represampling.

Details

represampling objects are (names) lists of resampling objects. Such objects are typically created by partition_cv, partition_kmeans, represampling_disc_bootstrap and related functions.

In r-repeated k-fold cross-validation, for example, the corresponding represampling object has length r, and each of its r resampling objects has length k.

as.resampling_list coerces object to class represampling while coercing its elements to resampling objects. Some validity checks are performed.

Examples

Run this code

# Muenchow et al. (2012), see ?ecuador
# Partitioning by elevation classes in 200 m steps:
fac <- factor(as.character(floor(ecuador$dem / 300)))
summary(fac)
parti <- as.resampling(fac)
# a list of lists specifying sets of training and test sets,
# using each factor at a time as the test set:
str(parti)
summary(parti)