How to Install and Uninstall r-cran-rsample Package on Ubuntu 20.10 (Groovy Gorilla)

Last updated: May 15,2024

1. Install "r-cran-rsample" package

In this section, we are going to explain the necessary steps to install r-cran-rsample on Ubuntu 20.10 (Groovy Gorilla)

$ sudo apt update $ sudo apt install r-cran-rsample

2. Uninstall "r-cran-rsample" package

Please follow the guidance below to uninstall r-cran-rsample on Ubuntu 20.10 (Groovy Gorilla):

$ sudo apt remove r-cran-rsample $ sudo apt autoclean && sudo apt autoremove

3. Information about the r-cran-rsample package on Ubuntu 20.10 (Groovy Gorilla)

Package: r-cran-rsample
Architecture: all
Version: 0.0.7-0ubuntu1
Priority: optional
Section: universe/gnu-r
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian R Packages Maintainers
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 599
Depends: r-base-core (>= 4.0.1-1), r-api-4.0, r-cran-dplyr (>= 0.8.5), r-cran-purrr, r-cran-tibble, r-cran-rlang (>= 0.4.0), r-cran-generics, r-cran-tidyselect, r-cran-furrr, r-cran-tidyr, r-cran-vctrs (>= 0.3.0)
Recommends: r-cran-testthat, r-cran-broom, r-cran-xml2, r-cran-covr, r-cran-modeldata
Suggests: r-cran-ggplot2, r-cran-rmarkdown, r-cran-knitr, r-cran-recipes (>= 0.1.4)
Filename: pool/universe/r/r-cran-rsample/r-cran-rsample_0.0.7-0ubuntu1_all.deb
Size: 337428
MD5sum: 0b4f17de5c2098613312b3d5efb6a2eb
SHA1: 83eded199d81a8b4227fd1e6560be6294123efdd
SHA256: 8907cdb6fa13f3833a21e5c281f6285d379b2f77f37ed89140f14ea4514b472d
SHA512: 4208f098eb521c4bbd5ba7a77274829c33b82806e4b185fb5ff73a3a1c7c7efd7b1b283d9f11843dbeafd1903d82910c02346dd88c7c165a2f5c86c59d2e932a
Homepage: https://cran.r-project.org/package=rsample
Description-en: GNU R general resampling infrastructure
Classes and functions to create and summarize different types of
resampling objects (e.g. bootstrap, cross-validation).
.
A resample is defined as the result of a two-way split of a data set.
For example, when bootstrapping, one part of the resample is a sample
with replacement of the original data. The other part of the split
contains the instances that were not contained in the bootstrap sample.
Cross-validation is another type of resampling.
Description-md5: ff7cd329dc4ad2b235bff31b6b7f5cdd