How to Install and Uninstall r-cran-sjstats Package on Ubuntu 20.10 (Groovy Gorilla)

Last updated: May 09,2024

1. Install "r-cran-sjstats" package

Please follow the guidance below to install r-cran-sjstats on Ubuntu 20.10 (Groovy Gorilla)

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

2. Uninstall "r-cran-sjstats" package

Here is a brief guide to show you how to uninstall r-cran-sjstats on Ubuntu 20.10 (Groovy Gorilla):

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

3. Information about the r-cran-sjstats package on Ubuntu 20.10 (Groovy Gorilla)

Package: r-cran-sjstats
Architecture: all
Version: 0.18.0-2
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: 475
Depends: r-base-core (>= 4.0.0.20200528-1), r-api-4.0, r-cran-bayestestr (>= 0.4.0), r-cran-broom, r-cran-dplyr (>= 0.8.1), r-cran-effectsize, r-cran-emmeans, r-cran-insight (>= 0.8.0), r-cran-lme4, r-cran-magrittr, r-cran-mass, r-cran-modelr, r-cran-parameters (>= 0.4.0), r-cran-performance (>= 0.4.0), r-cran-purrr, r-cran-rlang, r-cran-sjlabelled (>= 1.1.1), r-cran-sjmisc (>= 2.8.2), 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-nlme, r-cran-pscl, r-cran-pwr, r-cran-sjplot, r-cran-rstan, r-cran-rstanarm
Filename: pool/universe/r/r-cran-sjstats/r-cran-sjstats_0.18.0-2_all.deb
Size: 392036
MD5sum: 75d51a147b22b7f29806402e90d2cb36
SHA1: ff431b018c1756dd58a368ff42131bd6a1b4dbac
SHA256: 5d9db847dcf013668453c0631a2a302aca01c280ffddbed4328f28350807cffa
SHA512: e18c4c17505def6950e0d50aa04a9ee43edbed91463d527156f516241f77437c5a83ef7930ad88d6eff5d73445e1423e9cea46298f52cf424981d2927194751c
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