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

Last updated: November 05,2024

1. Install "r-cran-sjlabelled" package

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


    
        
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                sudo apt update
            
                    
    
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                sudo apt install
            
                        
                r-cran-sjlabelled
            
                    
    
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2. Uninstall "r-cran-sjlabelled" package

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


    
        
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                sudo apt remove
            
                        
                r-cran-sjlabelled
            
                    
    
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                sudo apt autoclean && sudo apt autoremove
            
                    
    
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3. Information about the r-cran-sjlabelled package on Ubuntu 20.10 (Groovy Gorilla)

Package: r-cran-sjlabelled
Architecture: all
Version: 1.1.6-1
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: 504
Depends: r-base-core (>= 4.0.2-1), r-api-4.0, r-cran-insight (>= 0.7.0)
Recommends: r-cran-testthat, r-cran-haven (>= 1.1.2)
Suggests: r-cran-dplyr, r-cran-magrittr, r-cran-sjmisc, r-cran-sjplot, r-cran-knitr, r-cran-rlang, r-cran-rmarkdown, r-cran-snakecase
Filename: pool/universe/r/r-cran-sjlabelled/r-cran-sjlabelled_1.1.6-1_all.deb
Size: 278144
MD5sum: b152644b90cf385035a266fae0669890
SHA1: e38bb9c83c48c6fe044afc273aeef9051dc5dff1
SHA256: 8f3e65a63d099d76e3b446c002532dd2a8de73cca72a12e7b140488b0d3a4cfc
SHA512: bb49451b8a0fda4fdabdbf74346612b697a308899900d96df07f8e5589bef72a1ca2bdb84fa22555d76ba25062e636d367424dbdbdd5e2cfab8763d5428fdaaa
Homepage: https://cran.r-project.org/package=sjlabelled
Description-en: GNU R labelled data utility functions
Collection of functions dealing with labelled data, like reading and
writing data between R and other statistical software packages like 'SPSS',
'SAS' or 'Stata', and working with labelled data. This includes easy ways
to get, set or change value and variable label attributes, to convert
labelled vectors into factors or numeric (and vice versa), or to deal with
multiple declared missing values.
Description-md5: 1e502ef9570befe440af72e34cfee75a