How to Install and Uninstall R-R.rsp.noarch Package on Fedora 35

Last updated: December 14,2024

1. Install "R-R.rsp.noarch" package

In this section, we are going to explain the necessary steps to install R-R.rsp.noarch on Fedora 35


    
        
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                sudo dnf update
            
                    
    
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                sudo dnf install
            
                        
                R-R.rsp.noarch
            
                    
    
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2. Uninstall "R-R.rsp.noarch" package

Please follow the guidance below to uninstall R-R.rsp.noarch on Fedora 35:


    
        
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                sudo dnf remove
            
                        
                R-R.rsp.noarch
            
                    
    
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                sudo dnf autoremove
            
                    
    
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3. Information about the R-R.rsp.noarch package on Fedora 35

Last metadata expiration check: 1:44:48 ago on Wed Sep 7 08:25:01 2022.
Available Packages
Name : R-R.rsp
Version : 0.44.0
Release : 4.fc35
Architecture : noarch
Size : 1.6 M
Source : R-R.rsp-0.44.0-4.fc35.src.rpm
Repository : fedora
Summary : Dynamic Generation of Scientific Reports
URL : https://CRAN.R-project.org/package=R.rsp
License : LGPLv2+
Description : The RSP markup language makes any text-based document come alive. RSP provides
: a powerful markup for controlling the content and output of LaTeX, HTML,
: Markdown, AsciiDoc, Sweave and knitr documents (and more), e.g. 'Today's date
: is <%=Sys.Date()%>'. Contrary to many other literate programming languages,
: with RSP it is straightforward to loop over mixtures of code and text sections,
: e.g. in month-by-month summaries. RSP has also several preprocessing
: directives for incorporating static and dynamic contents of external files
: (local or online) among other things. Functions rstring() and rcat() make it
: easy to process RSP strings, rsource() sources an RSP file as it was an R
: script, while rfile() compiles it (even online) into its final output format,
: e.g. rfile('report.tex.rsp') generates 'report.pdf' and rfile('report.md.rsp')
: generates 'report.html'. RSP is ideal for self-contained scientific reports
: and R package vignettes. It's easy to use - if you know how to write an R
: script, you'll be up and running within minutes.