How to Install and Uninstall r-cran-afex Package on Ubuntu 16.04 LTS (Xenial Xerus)

Last updated: November 22,2024

1. Install "r-cran-afex" package

Here is a brief guide to show you how to install r-cran-afex on Ubuntu 16.04 LTS (Xenial Xerus)


    
        
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                sudo apt update
            
                    
    
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            $
        

        
            
                sudo apt install
            
                        
                r-cran-afex
            
                    
    
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2. Uninstall "r-cran-afex" package

This tutorial shows how to uninstall r-cran-afex on Ubuntu 16.04 LTS (Xenial Xerus):


    
        
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                sudo apt remove
            
                        
                r-cran-afex
            
                    
    
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                sudo apt autoclean && sudo apt autoremove
            
                    
    
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3. Information about the r-cran-afex package on Ubuntu 16.04 LTS (Xenial Xerus)

Package: r-cran-afex
Priority: optional
Section: universe/gnu-r
Installed-Size: 388
Maintainer: Ubuntu Developers
Original-Maintainer: Debian Science Maintainers
Architecture: amd64
Version: 0.15-2-1
Depends: r-base-core (>= 3.2.3-1), r-api-3, r-base, r-cran-lme4 (>= 1.0.5), r-cran-reshape2, r-cran-lsmeans (>= 2.17), r-cran-stringr, r-cran-coin, r-cran-matrix, r-cran-pbkrtest, r-cran-car
Filename: pool/universe/r/r-cran-afex/r-cran-afex_0.15-2-1_amd64.deb
Size: 239716
MD5sum: 3545561aa19c2b58aa833a7a3ef9b6bd
SHA1: d56affec19a347016fa789baf1c4a73fc25a4237
SHA256: 6ced79905429fd2778ad2ec95b07fca0a9b7d19c5cba1ba79678f99a4dfa8ca7
Description-en: GNU R package for analyzing factorial experiments using ANOVA or mixed models
The r-cran-afex package is a GNU R package providing convenience
functions for analyzing factorial experiments using ANOVA or mixed
models. aov_ez(), aov_car(), and aov_4() allow specification of between,
within (i.e., repeated- measures), or mixed between-within (i.e., split-
plot) ANOVAs for data in long format (i.e., one observation per row),
potentially aggregating multiple observations per individual and cell of
the design. mixed() fits mixed models using lme4::lmer() and computes
p-values for all fixed effects using either Kenward-Roger approximation
for degrees of freedom (LMM only), parametric bootstrap (LMMs and
GLMMs), or likelihood ratio tests (LMMs and GLMMs). afex uses type 3
sums of squares as default (imitating commercial statistical software).
Description-md5: b3d7e3b67c0c13c3aeb5152953b803e5
Homepage: https://github.com/singmann/afex
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Origin: Ubuntu