How to Install and Uninstall r-cran-sjstats Package on Ubuntu 21.10 (Impish Indri)

Last updated: May 13,2024

1. Install "r-cran-sjstats" package

This is a short guide on how to install r-cran-sjstats on Ubuntu 21.10 (Impish Indri)

$ sudo apt update $ sudo apt install r-cran-sjstats

2. Uninstall "r-cran-sjstats" package

In this section, we are going to explain the necessary steps to uninstall r-cran-sjstats on Ubuntu 21.10 (Impish Indri):

$ sudo apt remove r-cran-sjstats $ sudo apt autoclean && sudo apt autoremove

3. Information about the r-cran-sjstats package on Ubuntu 21.10 (Impish Indri)

Package: r-cran-sjstats
Architecture: all
Version: 0.18.1-1
Priority: optional
Section: universe/gnu-r
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian R Packages Maintainers
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 425
Depends: r-base-core (>= 4.0.3-1), r-api-4.0, r-cran-bayestestr, r-cran-broom, r-cran-dplyr, r-cran-effectsize, r-cran-emmeans, r-cran-insight, r-cran-lme4, r-cran-magrittr, r-cran-mass, r-cran-modelr, r-cran-parameters, r-cran-performance, r-cran-purrr, r-cran-rlang, r-cran-sjlabelled, r-cran-sjmisc, r-cran-tidyr
Recommends: r-cran-testthat, r-cran-survey
Suggests: r-cran-brms, r-cran-car, r-cran-coin, r-cran-ggplot2, r-cran-pscl, r-cran-pwr, r-cran-sjplot, r-cran-rstan
Filename: pool/universe/r/r-cran-sjstats/r-cran-sjstats_0.18.1-1_all.deb
Size: 342664
MD5sum: 0350b44243cf5de0d5a07630b06381ec
SHA1: 91b064784e8b51770cc21e66a3f00657a85f3187
SHA256: 10d6068593a3cdf4aee9a94254407834d3136c018a1094cc3899a3ce437f268f
SHA512: d5d432dab89d60f2e9b7564563186703814c9edf120dc91781c4f459ff5825ee3ca3a56fe075d8f705e1edeff47a443b44f3c15c7326cab66d893cbef9893cbc
Homepage: https://cran.r-project.org/package=sjstats
Description-en: GNU R collection of convenient functions for statistical computations
Collection of convenient functions for common statistical computations,
which are not directly provided by R's base or stats packages.
This package aims at providing, first, shortcuts for statistical
measures, which otherwise could only be calculated with additional
effort (like standard errors or root mean squared errors). Second,
these shortcut functions are generic (if appropriate), and can be
applied not only to vectors, but also to other objects as well
(e.g., the Coefficient of Variation can be computed for vectors,
linear models, or linear mixed models; the r2()-function returns
the r-squared value for 'lm', 'glm', 'merMod' or 'lme' objects).
The focus of most functions lies on summary statistics or fit
measures for regression models, including generalized linear
models and mixed effects models. However, some of the functions
also deal with other statistical measures, like Cronbach's Alpha,
Cramer's V, Phi etc.
Description-md5: b5b5dde12dd36c25e688774a9bed98bf