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

Last updated: May 20,2024

1. Install "r-cran-rwave" package

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


    
        
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                sudo apt update
            
                    
    
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            $
        

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

This guide let you learn how to uninstall r-cran-rwave on Ubuntu 20.10 (Groovy Gorilla):


    
        
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                sudo apt remove
            
                        
                r-cran-rwave
            
                    
    
    Copied


    
        
            $
        

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

Package: r-cran-rwave
Architecture: amd64
Version: 2.4-8-2build1
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: 1202
Depends: r-base-core (>= 4.0.0.20200528-1), r-api-4.0, libc6 (>= 2.4)
Filename: pool/universe/r/r-cran-rwave/r-cran-rwave_2.4-8-2build1_amd64.deb
Size: 1002776
MD5sum: 5fbdeced7232e171f25c88da8c563706
SHA1: 0c41dc0b53129c14ab669772d0087e898efcf166
SHA256: de4a4cdd00fab5c06194a406b2f8831d0d0527a466d2ad88a25b90ae5aeb9a52
SHA512: 8c915cf8252350d1dca1307d77c6f579764ad4060874d1b566cb3e3359d8bebe236255fbebb553ecaa42ab8957bbe5b35c238a224ace312574ee562b87664550
Homepage: https://cran.r-project.org/package=Rwave
Description-en: GNU R time-frequency analysis of 1-D signals
A set of R functions which provide an environment for the Time-Frequency
analysis of 1-D signals (and especially for the wavelet and Gabor
transforms of noisy signals). It was originally written for Splus by
Rene Carmona, Bruno Torresani, and Wen L. Hwang, first at the University
of California at Irvine and then at Princeton University. Credit should
also be given to Andrea Wang whose functions on the dyadic wavelet
transform are included. Rwave is based on the book: "Practical
Time-Frequency Analysis: Gabor and Wavelet Transforms with an Implementation
in S", by Rene Carmona, Wen L. Hwang and Bruno Torresani (1998, eBook
ISBN:978008053942), Academic Press.
Description-md5: 28a0dedf8555cba7fa72a0e40eca72aa