How to Install and Uninstall r-cran-ggally Package on Ubuntu 21.10 (Impish Indri)

Last updated: May 13,2024

1. Install "r-cran-ggally" package

Learn how to install r-cran-ggally on Ubuntu 21.10 (Impish Indri)

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

2. Uninstall "r-cran-ggally" package

Here is a brief guide to show you how to uninstall r-cran-ggally on Ubuntu 21.10 (Impish Indri):

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

3. Information about the r-cran-ggally package on Ubuntu 21.10 (Impish Indri)

Package: r-cran-ggally
Architecture: all
Version: 2.1.0-1
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: 1806
Depends: r-base-core (>= 4.0.3-1), r-api-4.0, r-cran-ggplot2 (>= 3.3.0), r-cran-dplyr (>= 1.0.0), r-cran-forcats, r-cran-gtable (>= 0.2.0), r-cran-lifecycle, r-cran-plyr (>= 1.8.3), r-cran-progress, r-cran-rcolorbrewer, r-cran-reshape (>= 0.8.5), r-cran-rlang, r-cran-scales (>= 1.1.0), r-cran-tidyr
Recommends: r-cran-testthat, r-cran-broom (>= 0.7.0), r-cran-survival, r-cran-hmisc, r-cran-sna (>= 2.3-2), r-cran-network (>= 1.12.0), r-cran-maps (>= 3.1.0)
Suggests: r-cran-geosphere (>= 1.5-1), r-cran-ggforce, r-cran-igraph (>= 1.0.1), r-cran-mapproj, r-cran-nnet, r-cran-rmarkdown, r-cran-roxygen2, r-cran-crosstalk, r-cran-knitr
Filename: pool/universe/r/r-cran-ggally/r-cran-ggally_2.1.0-1_all.deb
Size: 1666312
MD5sum: 331ab4c43b0d77b44ed3273162509466
SHA1: 22e64955011600ba006fe13f41cabef84c5d2f28
SHA256: 5c2109f1072b9e2f6896355ff1f784430a9964f2e6fe519142fc54ec37eee2ee
SHA512: 290139e57040610e20d5718c4b0de49bd7d01a3acf6f2f3f4728420249a77f269e1b5bbe01a8ae6227092820533dbdb39aef8ef3f4308c1eb87bc6dae87376e5
Homepage: https://cran.r-project.org/package=GGally
Description-en: GNU R extension to r-cran-ggplot2
The R package 'ggplot2' is a plotting system based on the grammar of
graphics. 'GGally' extends 'ggplot2' by adding several functions to
reduce the complexity of combining geometric objects with transformed
data. Some of these functions include a pairwise plot matrix, a two
group pairwise plot matrix, a parallel coordinates plot, a survival
plot, and several functions to plot networks.
Description-md5: b73a724ef03578d965af957406d2082f