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

Last updated: May 14,2024

1. Install "r-cran-tibble" package

Please follow the guidance below to install r-cran-tibble on Ubuntu 20.10 (Groovy Gorilla)

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

2. Uninstall "r-cran-tibble" package

This guide covers the steps necessary to uninstall r-cran-tibble on Ubuntu 20.10 (Groovy Gorilla):

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

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

Package: r-cran-tibble
Architecture: amd64
Version: 3.0.3-2
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: 902
Depends: r-base-core (>= 4.0.2-1build1), r-api-4.0, r-cran-cli, r-cran-crayon (>= 1.3.4), r-cran-ellipsis (>= 0.2.0), r-cran-fansi (>= 0.4.0), r-cran-lifecycle (>= 0.2.0), r-cran-magrittr, r-cran-pillar (>= 1.4.3), r-cran-pkgconfig, r-cran-rlang (>= 0.4.3), r-cran-vctrs (>= 0.2.4), libc6 (>= 2.14)
Recommends: r-cran-testthat (>= 2.1.0), r-cran-data.table, r-cran-rsqlite, r-cran-knitr, r-cran-dplyr, r-cran-withr, r-cran-mockr, r-cran-lubridate
Suggests: r-cran-bit64, r-cran-blob, r-cran-covr, r-cran-evaluate, r-cran-hms, r-cran-htmltools, r-cran-purrr, r-cran-rmarkdown, r-cran-tidyr
Filename: pool/universe/r/r-cran-tibble/r-cran-tibble_3.0.3-2_amd64.deb
Size: 422968
MD5sum: cf84810556cacc2bf691aed654ec7bf5
SHA1: 9b244f49728b85851544e1b798d87bd15e5bbcbd
SHA256: 64a46b19a102042bc79a7de8c026af7cf4244c9e7809af59894fc94a036e1c3e
SHA512: 5cf5e60a39d38d0d4aceb04a3ab2ffeda0a384cd1cff527acdb55b57a781759eb5025fe759d3d13da022cabac0f4970079f9fbca83739ab1f91e3630e9f32a08
Homepage: https://cran.r-project.org/package=tibble
Description-en: GNU R Simple Data Frames
This GNU R package provides a 'tbl_df' class that offers better checking
and printing capabilities than traditional data frames.
.
Tibbles are a modern take on data frames. They keep the features that have
stood the test of time, and drop the features that used to be convenient but
are now frustrating (i.e. converting character vectors to factors).
Description-md5: e1fceabc342973d14651328f62754656