The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.

rsample a boot on a green background

R-CMD-check Codecov test coverage CRAN_Status_Badge Downloads lifecycle

Overview

The rsample package provides functions to create different types of resamples and corresponding classes for their analysis. The goal is to have a modular set of methods that can be used for:

The scope of rsample is to provide the basic building blocks for creating and analyzing resamples of a data set, but this package does not include code for modeling or calculating statistics. The Working with Resample Sets vignette gives a demonstration of how rsample tools can be used when building models.

Note that resampled data sets created by rsample are directly accessible in a resampling object but do not contain much overhead in memory. Since the original data is not modified, R does not make an automatic copy.

For example, creating 50 bootstraps of a data set does not create an object that is 50-fold larger in memory:

library(rsample)
library(mlbench)

data(LetterRecognition)
lobstr::obj_size(LetterRecognition)
#> 2,644,640 B

set.seed(35222)
boots <- bootstraps(LetterRecognition, times = 50)
lobstr::obj_size(boots)
#> 6,686,776 B

# Object size per resample
lobstr::obj_size(boots)/nrow(boots)
#> 133,735.5 B

# Fold increase is <<< 50
as.numeric(lobstr::obj_size(boots)/lobstr::obj_size(LetterRecognition))
#> [1] 2.528426

Created on 2022-02-28 by the reprex package (v2.0.1)

The memory usage for 50 bootstrap samples is less than 3-fold more than the original data set.

Installation

To install it, use:

install.packages("rsample")

And the development version from GitHub with:

# install.packages("pak")
pak::pak("rsample")

Contributing

This project is released with a Contributor Code of Conduct. By contributing to this project, you agree to abide by its terms.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.