How to Install and Uninstall R-matrixStats.x86_64 Package on Fedora 36
Last updated: October 08,2024
1. Install "R-matrixStats.x86_64" package
This tutorial shows how to install R-matrixStats.x86_64 on Fedora 36
$
sudo dnf update
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$
sudo dnf install
R-matrixStats.x86_64
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2. Uninstall "R-matrixStats.x86_64" package
In this section, we are going to explain the necessary steps to uninstall R-matrixStats.x86_64 on Fedora 36:
$
sudo dnf remove
R-matrixStats.x86_64
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$
sudo dnf autoremove
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3. Information about the R-matrixStats.x86_64 package on Fedora 36
Last metadata expiration check: 0:46:12 ago on Thu Sep 8 08:04:50 2022.
Available Packages
Name : R-matrixStats
Version : 0.59.0
Release : 3.fc36
Architecture : x86_64
Size : 757 k
Source : R-matrixStats-0.59.0-3.fc36.src.rpm
Repository : fedora
Summary : Functions that Apply to Rows and Columns of Matrices (and to Vectors)
URL : http://cran.r-project.org/web/packages/matrixStats/index.html
License : Artistic 2.0
Description : High-performing functions operating on rows and columns of matrices, e.g.
: col / rowMedians(), col / rowRanks(), and col / rowSds(). Functions optimized
: per data type and for subsetted calculations such that both memory usage and
: processing time is minimized. There are also optimized vector-based methods,
: e.g. binMeans(), madDiff() and weightedMedian().
Available Packages
Name : R-matrixStats
Version : 0.59.0
Release : 3.fc36
Architecture : x86_64
Size : 757 k
Source : R-matrixStats-0.59.0-3.fc36.src.rpm
Repository : fedora
Summary : Functions that Apply to Rows and Columns of Matrices (and to Vectors)
URL : http://cran.r-project.org/web/packages/matrixStats/index.html
License : Artistic 2.0
Description : High-performing functions operating on rows and columns of matrices, e.g.
: col / rowMedians(), col / rowRanks(), and col / rowSds(). Functions optimized
: per data type and for subsetted calculations such that both memory usage and
: processing time is minimized. There are also optimized vector-based methods,
: e.g. binMeans(), madDiff() and weightedMedian().