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

Last updated: December 24,2024

1. Install "r-cran-vim" package

Please follow the guidance below to install r-cran-vim on Ubuntu 21.10 (Impish Indri)

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

2. Uninstall "r-cran-vim" package

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

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

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

Package: r-cran-vim
Architecture: amd64
Version: 6.1.0+dfsg-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: 2918
Depends: r-base-core (>= 4.0.3-1), r-api-4.0, r-cran-colorspace, r-cran-car, r-cran-magrittr, r-cran-robustbase, r-cran-sp, r-cran-vcd, r-cran-mass, r-cran-nnet, r-cran-e1071, r-cran-rcpp, r-cran-laeken, r-cran-ranger, r-cran-data.table (>= 1.9.4), libc6 (>= 2.14), libgcc-s1 (>= 3.0), libstdc++6 (>= 5.2)
Recommends: r-cran-testthat (>= 2.1.0), r-cran-dplyr
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/universe/r/r-cran-vim/r-cran-vim_6.1.0+dfsg-1_amd64.deb
Size: 2716796
MD5sum: e456e95d627383709b7659bb5712b461
SHA1: 29aeeace8e2433f0774aa42431a1743a2a09eec8
SHA256: b9c0f59e3f68735dca9972d3dbc454aa13eea77f9029b388b16cd5e2f65fe765
SHA512: 250d0db51fea7aac502c99e2dcd73244a47a5cc642f3c7ffd931ab3cc433b60b6783998611480d20f811723a74cf97f2b3a70f9184783e2c5eda98e4a166cc17
Homepage: https://cran.r-project.org/package=VIM
Description-en: GNU R visualization and imputation of missing values
New tools for the visualization of missing and/or imputed values
are introduced, which can be used for exploring the data and the structure of
the missing and/or imputed values. Depending on this structure of the missing
values, the corresponding methods may help to identify the mechanism generating
the missing values and allows one to explore the data including missing values.
In addition, the quality of imputation can be visually explored using various
univariate, bivariate, multiple and multivariate plot methods. A graphical user
interface available in the separate package VIMGUI allows an easy handling of
the implemented plot methods.
Description-md5: bab557e9b79ad7d28e83a63556893ba9