How to Install and Uninstall R-waveslim.x86_64 Package on Fedora 35
Last updated: January 11,2025
1. Install "R-waveslim.x86_64" package
This guide let you learn how to install R-waveslim.x86_64 on Fedora 35
$
sudo dnf update
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$
sudo dnf install
R-waveslim.x86_64
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2. Uninstall "R-waveslim.x86_64" package
Please follow the steps below to uninstall R-waveslim.x86_64 on Fedora 35:
$
sudo dnf remove
R-waveslim.x86_64
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$
sudo dnf autoremove
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3. Information about the R-waveslim.x86_64 package on Fedora 35
Last metadata expiration check: 3:56:33 ago on Wed Sep 7 08:25:01 2022.
Available Packages
Name : R-waveslim
Version : 1.8.2
Release : 7.fc35
Architecture : x86_64
Size : 816 k
Source : R-waveslim-1.8.2-7.fc35.src.rpm
Repository : fedora
Summary : R module, Basic wavelet routines for 1,2 and 3-dimensional signal processing
URL : http://waveslim.r-forge.r-project.org/
License : BSD
Description : Basic wavelet routines for time series (1D), image (2D)
: and array (3D) analysis. The code provided here is based on
: wavelet methodology developed in Percival and Walden (2000);
: Gencay, Selcuk and Whitcher (2001); the dual-tree complex wavelet
: transform (CWT) from Kingsbury (1999, 2001) as implemented by
: Selesnick; and Hilbert wavelet pairs (Selesnick 2001, 2002). All
: figures in chapters 4-7 of GSW (2001) are reproducible using this
: package and R code available at the book website(s) below.
Available Packages
Name : R-waveslim
Version : 1.8.2
Release : 7.fc35
Architecture : x86_64
Size : 816 k
Source : R-waveslim-1.8.2-7.fc35.src.rpm
Repository : fedora
Summary : R module, Basic wavelet routines for 1,2 and 3-dimensional signal processing
URL : http://waveslim.r-forge.r-project.org/
License : BSD
Description : Basic wavelet routines for time series (1D), image (2D)
: and array (3D) analysis. The code provided here is based on
: wavelet methodology developed in Percival and Walden (2000);
: Gencay, Selcuk and Whitcher (2001); the dual-tree complex wavelet
: transform (CWT) from Kingsbury (1999, 2001) as implemented by
: Selesnick; and Hilbert wavelet pairs (Selesnick 2001, 2002). All
: figures in chapters 4-7 of GSW (2001) are reproducible using this
: package and R code available at the book website(s) below.