How to Install and Uninstall R-colorspace.x86_64 Package on Fedora 39

Last updated: November 28,2024

1. Install "R-colorspace.x86_64" package

Please follow the instructions below to install R-colorspace.x86_64 on Fedora 39


    
        
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                sudo dnf update
            
                    
    
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                sudo dnf install
            
                        
                R-colorspace.x86_64
            
                    
    
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2. Uninstall "R-colorspace.x86_64" package

This tutorial shows how to uninstall R-colorspace.x86_64 on Fedora 39:


    
        
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                sudo dnf remove
            
                        
                R-colorspace.x86_64
            
                    
    
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                sudo dnf autoremove
            
                    
    
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3. Information about the R-colorspace.x86_64 package on Fedora 39

Last metadata expiration check: 5:49:25 ago on Thu Mar 7 11:44:58 2024.
Available Packages
Name : R-colorspace
Version : 2.0.3
Release : 4.fc39
Architecture : x86_64
Size : 2.5 M
Source : R-colorspace-2.0.3-4.fc39.src.rpm
Repository : fedora
Summary : A Toolbox for Manipulating and Assessing Colors and Palettes
URL : https://CRAN.R-project.org/package=colorspace
License : BSD
Description : Carries out mapping between assorted color spaces including RGB, HSV, HLS,
: CIEXYZ, CIELUV, HCL (polar CIELUV), CIELAB, and polar CIELAB. Qualitative,
: sequential, and diverging color palettes based on HCL colors are provided along
: with corresponding ggplot2 color scales. Color palette choice is aided by an
: interactive app (with either a Tcl/Tk or a shiny graphical user interface) and
: shiny apps with an HCL color picker and a color vision deficiency emulator.
: Plotting functions for displaying and assessing palettes include color
: swatches, visualizations of the HCL space, and trajectories in HCL and/or RGB
: spectrum. Color manipulation functions include: desaturation,
: lightening/darkening, mixing, and simulation of color vision deficiencies
: (deutanomaly, protanomaly, tritanomaly). Details can be found on the project
: web page at and in the accompanying
: scientific paper: Zeileis et al. (2020, Journal of Statistical Software,
: ).