How to Install and Uninstall R-gplots.noarch Package on Fedora 36
Last updated: January 10,2025
1. Install "R-gplots.noarch" package
Learn how to install R-gplots.noarch on Fedora 36
$
sudo dnf update
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$
sudo dnf install
R-gplots.noarch
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2. Uninstall "R-gplots.noarch" package
Please follow the guidelines below to uninstall R-gplots.noarch on Fedora 36:
$
sudo dnf remove
R-gplots.noarch
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$
sudo dnf autoremove
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3. Information about the R-gplots.noarch package on Fedora 36
Last metadata expiration check: 2:12:29 ago on Thu Sep 8 02:05:26 2022.
Available Packages
Name : R-gplots
Version : 3.1.1
Release : 5.fc36
Architecture : noarch
Size : 630 k
Source : R-gplots-3.1.1-5.fc36.src.rpm
Repository : fedora
Summary : Various R Programming Tools for Plotting Data
URL : https://CRAN.R-project.org/package=gplots
License : GPLv2
Description : Various R programming tools for plotting data, including:
: - calculating and plotting locally smoothed summary function,
: - enhanced versions of standard plots,
: - manipulating colors,
: - calculating and plotting two-dimensional data summaries,
: - enhanced regression diagnostic plots,
: - formula-enabled interface to 'stats::lowess' function,
: - displaying textual data in plots,
: - plotting a matrix where each cell contains a dot whose size reflects the
: relative magnitude of the elements,
: - plotting "Venn" diagrams,
: - displaying Open-Office style plots,
: - plotting multiple data on same region, with separate axes,
: - plotting means and confidence intervals,
: - spacing points in an x-y plot so they don't overlap.
Available Packages
Name : R-gplots
Version : 3.1.1
Release : 5.fc36
Architecture : noarch
Size : 630 k
Source : R-gplots-3.1.1-5.fc36.src.rpm
Repository : fedora
Summary : Various R Programming Tools for Plotting Data
URL : https://CRAN.R-project.org/package=gplots
License : GPLv2
Description : Various R programming tools for plotting data, including:
: - calculating and plotting locally smoothed summary function,
: - enhanced versions of standard plots,
: - manipulating colors,
: - calculating and plotting two-dimensional data summaries,
: - enhanced regression diagnostic plots,
: - formula-enabled interface to 'stats::lowess' function,
: - displaying textual data in plots,
: - plotting a matrix where each cell contains a dot whose size reflects the
: relative magnitude of the elements,
: - plotting "Venn" diagrams,
: - displaying Open-Office style plots,
: - plotting multiple data on same region, with separate axes,
: - plotting means and confidence intervals,
: - spacing points in an x-y plot so they don't overlap.