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

Last updated: May 18,2024

1. Install "r-cran-circlize" package

Here is a brief guide to show you how to install r-cran-circlize on Ubuntu 21.10 (Impish Indri)

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

2. Uninstall "r-cran-circlize" package

Please follow the guidance below to uninstall r-cran-circlize on Ubuntu 21.10 (Impish Indri):

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

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

Package: r-cran-circlize
Architecture: all
Version: 0.4.12-1
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: 3407
Depends: r-base-core (>= 4.0.3-1), r-api-4.0, r-cran-globaloptions (>= 0.1.2), r-cran-shape, r-cran-colorspace
Suggests: r-cran-knitr, r-cran-dendextend (>= 1.0.1), r-bioc-complexheatmap (>= 2.0.0), r-cran-gridbase, r-cran-png, r-cran-markdown
Filename: pool/universe/r/r-cran-circlize/r-cran-circlize_0.4.12-1_all.deb
Size: 3217260
MD5sum: 6a700468045b27464498e9044ed6ba8c
SHA1: a0686ea5e462f4e3e13ff17ee35a3455087b7651
SHA256: 1e9d2927fe3eaca0d3dae9135e599fd18864a27598b306af8c18124fc6457f4d
SHA512: 129f5e2a5ec1987d5609be2b2b1732877c83095b54c19b17928b54a5eefe856c5b40a84875c64b6c5acbad28d1ac1bc9c9c67eedb5b41c19f40eb454091516fa
Homepage: https://cran.r-project.org/package=circlize
Description-en: Circular Visualization
Circular layout is an efficient way for the visualization of huge
amounts of information. Here this package provides an implementation
of circular layout generation in R as well as an enhancement of available
software. The flexibility of the package is based on the usage of low-level
graphics functions such that self-defined high-level graphics can be easily
implemented by users for specific purposes. Together with the seamless
connection between the powerful computational and visual environment in R,
it gives users more convenience and freedom to design figures for
better understanding complex patterns behind multiple dimensional data.
Description-md5: 5f14e4adddc573f367dcef27b4be25cc