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

Last updated: May 07,2024

1. Install "r-cran-psyphy" package

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


    
        
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                sudo apt update
            
                    
    
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            $
        

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

Please follow the step by step instructions below to uninstall r-cran-psyphy on Ubuntu 20.10 (Groovy Gorilla):


    
        
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                sudo apt remove
            
                        
                r-cran-psyphy
            
                    
    
    Copied


    
        
            $
        

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

Package: r-cran-psyphy
Architecture: all
Version: 0.1-9-3build1
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: 145
Depends: r-base-core (>= 4.0.0.20200528-1), r-api-4.0
Suggests: r-cran-mass, r-cran-nlme, r-cran-lattice
Filename: pool/universe/r/r-cran-psyphy/r-cran-psyphy_0.1-9-3build1_all.deb
Size: 111640
MD5sum: d389b5c68c59f9bd050207d0c1faa4a0
SHA1: 1b1e9f3e6af24f72934f31acfc3f2583d5470697
SHA256: 38cb6a2c4cdf228fde58d23df8af9ac3d93a2ec8b15777779b956a780151bc26
SHA512: a7dbed614fe72ad94f12b6048a5f15122c40171531c1444e106c55adfb99cfb48438e9a3ea389b973cd10e02c6f0b2fa13c33dacdff0efd714d5493cbf22ebc8
Homepage: https://cran.r-project.org/package=psyphy
Description-en: functions for analyzing psychophysical data in GNU R
An assortment of functions that could be useful in analyzing data from
psychophysical experiments. It includes functions for calculating d'
from several different experimental designs, links for m-alternative forced-
choice (mafc) data to be used with the binomial family in glm (and
possibly other contexts) and self-Start functions for estimating gamma
values for CRT screen calibrations.
Description-md5: 2ea92c3df8be4c6fac4185d168c17e35