How to Install and Uninstall R-filehash.x86_64 Package on Fedora 38
Last updated: November 27,2024
1. Install "R-filehash.x86_64" package
Please follow the guidance below to install R-filehash.x86_64 on Fedora 38
$
sudo dnf update
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$
sudo dnf install
R-filehash.x86_64
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2. Uninstall "R-filehash.x86_64" package
This tutorial shows how to uninstall R-filehash.x86_64 on Fedora 38:
$
sudo dnf remove
R-filehash.x86_64
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$
sudo dnf autoremove
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3. Information about the R-filehash.x86_64 package on Fedora 38
Last metadata expiration check: 5:20:51 ago on Sat Mar 16 22:59:57 2024.
Available Packages
Name : R-filehash
Version : 2.4.3
Release : 3.fc38
Architecture : x86_64
Size : 411 k
Source : R-filehash-2.4.3-3.fc38.src.rpm
Repository : updates
Summary : Simple Key-Value Database
URL : https://CRAN.R-project.org/package=filehash
License : GPLv2+
Description : Implements a simple key-value style database where character string keys
: are associated with data values that are stored on the disk. A simple
: interface is provided for inserting, retrieving, and deleting data from
: the database. Utilities are provided that allow 'filehash' databases to be
: treated much like environments and lists are already used in R. These
: utilities are provided to encourage interactive and exploratory analysis
: on large datasets. Three different file formats for representing the
: database are currently available and new formats can easily be
: incorporated by third parties for use in the 'filehash' framework.
Available Packages
Name : R-filehash
Version : 2.4.3
Release : 3.fc38
Architecture : x86_64
Size : 411 k
Source : R-filehash-2.4.3-3.fc38.src.rpm
Repository : updates
Summary : Simple Key-Value Database
URL : https://CRAN.R-project.org/package=filehash
License : GPLv2+
Description : Implements a simple key-value style database where character string keys
: are associated with data values that are stored on the disk. A simple
: interface is provided for inserting, retrieving, and deleting data from
: the database. Utilities are provided that allow 'filehash' databases to be
: treated much like environments and lists are already used in R. These
: utilities are provided to encourage interactive and exploratory analysis
: on large datasets. Three different file formats for representing the
: database are currently available and new formats can easily be
: incorporated by third parties for use in the 'filehash' framework.