How to Install and Uninstall r-cran-rwave Package on Ubuntu 21.10 (Impish Indri)

Last updated: May 18,2024

1. Install "r-cran-rwave" package

Please follow the guidelines below to install r-cran-rwave on Ubuntu 21.10 (Impish Indri)


    
        
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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

Here is a brief guide to show you how to uninstall r-cran-rwave on Ubuntu 21.10 (Impish Indri):


    
        
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                sudo apt remove
            
                        
                r-cran-rwave
            
                    
    
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            $
        

        
            
                sudo apt autoclean && sudo apt autoremove
            
                    
    
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3. Information about the r-cran-rwave package on Ubuntu 21.10 (Impish Indri)

Package: r-cran-rwave
Architecture: amd64
Version: 2.4-8-3
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 (>= 4.0.2-1build1), r-api-4.0, libc6 (>= 2.4)
Filename: pool/universe/r/r-cran-rwave/r-cran-rwave_2.4-8-3_amd64.deb
Size: 1004480
MD5sum: 33fde4a10f2e2590f5de846d62d6d3f4
SHA1: 83b2c85eda7854031d5a7c8afaffcb5809b68a85
SHA256: 2e16501ed8a4e5b89e3a8ccf1d10fc3bc1a7463b0b114dc83a25f759f3a9a525
SHA512: 3520cd8edccbb808ea161f2fae812acbcf7578daa8f1ee07720044465d1c35a53fcfc3db8b74c12f5be17732567ea7fe8facc26f4e307702655ef62aae46d90c
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