How to Install and Uninstall R-DelayedArray.x86_64 Package on Fedora 36
Last updated: November 21,2024
1. Install "R-DelayedArray.x86_64" package
This guide let you learn how to install R-DelayedArray.x86_64 on Fedora 36
$
sudo dnf update
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$
sudo dnf install
R-DelayedArray.x86_64
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2. Uninstall "R-DelayedArray.x86_64" package
In this section, we are going to explain the necessary steps to uninstall R-DelayedArray.x86_64 on Fedora 36:
$
sudo dnf remove
R-DelayedArray.x86_64
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$
sudo dnf autoremove
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3. Information about the R-DelayedArray.x86_64 package on Fedora 36
Last metadata expiration check: 3:03:50 ago on Thu Sep 8 08:04:50 2022.
Available Packages
Name : R-DelayedArray
Version : 0.18.0
Release : 3.fc36
Architecture : x86_64
Size : 2.2 M
Source : R-DelayedArray-0.18.0-3.fc36.src.rpm
Repository : fedora
Summary : Delayed operations on array-like objects
URL : http://www.bioconductor.org/packages/release/bioc/html/DelayedArray.html
License : Artistic 2.0
Description : Wrapping an array-like object (typically an on-disk object) in a DelayedArray
: object allows one to perform common array operations on it without loading
: the object in memory. In order to reduce memory usage and optimize
: performance, operations on the object are either delayed or executed using a
: block processing mechanism. Note that this also works on in-memory array-like
: objects like DataFrame objects (typically with Rle columns), Matrix objects,
: and ordinary arrays and data frames.
Available Packages
Name : R-DelayedArray
Version : 0.18.0
Release : 3.fc36
Architecture : x86_64
Size : 2.2 M
Source : R-DelayedArray-0.18.0-3.fc36.src.rpm
Repository : fedora
Summary : Delayed operations on array-like objects
URL : http://www.bioconductor.org/packages/release/bioc/html/DelayedArray.html
License : Artistic 2.0
Description : Wrapping an array-like object (typically an on-disk object) in a DelayedArray
: object allows one to perform common array operations on it without loading
: the object in memory. In order to reduce memory usage and optimize
: performance, operations on the object are either delayed or executed using a
: block processing mechanism. Note that this also works on in-memory array-like
: objects like DataFrame objects (typically with Rle columns), Matrix objects,
: and ordinary arrays and data frames.