How to Install and Uninstall R-sfsmisc.noarch Package on Fedora 34
Last updated: November 13,2024
1. Install "R-sfsmisc.noarch" package
This guide covers the steps necessary to install R-sfsmisc.noarch on Fedora 34
$
sudo dnf update
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$
sudo dnf install
R-sfsmisc.noarch
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2. Uninstall "R-sfsmisc.noarch" package
This is a short guide on how to uninstall R-sfsmisc.noarch on Fedora 34:
$
sudo dnf remove
R-sfsmisc.noarch
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$
sudo dnf autoremove
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3. Information about the R-sfsmisc.noarch package on Fedora 34
Last metadata expiration check: 5:32:48 ago on Tue Sep 6 02:10:55 2022.
Available Packages
Name : R-sfsmisc
Version : 1.1.11
Release : 1.fc34
Architecture : noarch
Size : 702 k
Source : R-sfsmisc-1.1.11-1.fc34.src.rpm
Repository : updates
Summary : Utilities from 'Seminar fuer Statistik' ETH Zurich
URL : https://CRAN.R-project.org/package=sfsmisc
License : GPLv2+
Description : Useful utilities ['goodies'] from Seminar fuer Statistik ETH Zurich, some
: of which were ported from S-plus in the 1990s. For graphics, have pretty
: (Log-scale) axes, an enhanced Tukey-Anscombe plot, combining histogram and
: boxplot, 2d-residual plots, a 'tachoPlot()', pretty arrows, etc. For
: robustness, have a robust F test and robust range(). For system support,
: notably on Linux, provides 'Sys.*()' functions with more access to system
: and CPU information. Finally, miscellaneous utilities such as simple
: efficient prime numbers, integer codes, Duplicated(), toLatex.numeric() and
: is.whole().
Available Packages
Name : R-sfsmisc
Version : 1.1.11
Release : 1.fc34
Architecture : noarch
Size : 702 k
Source : R-sfsmisc-1.1.11-1.fc34.src.rpm
Repository : updates
Summary : Utilities from 'Seminar fuer Statistik' ETH Zurich
URL : https://CRAN.R-project.org/package=sfsmisc
License : GPLv2+
Description : Useful utilities ['goodies'] from Seminar fuer Statistik ETH Zurich, some
: of which were ported from S-plus in the 1990s. For graphics, have pretty
: (Log-scale) axes, an enhanced Tukey-Anscombe plot, combining histogram and
: boxplot, 2d-residual plots, a 'tachoPlot()', pretty arrows, etc. For
: robustness, have a robust F test and robust range(). For system support,
: notably on Linux, provides 'Sys.*()' functions with more access to system
: and CPU information. Finally, miscellaneous utilities such as simple
: efficient prime numbers, integer codes, Duplicated(), toLatex.numeric() and
: is.whole().