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

Last updated: May 21,2024

1. Install "r-cran-rstatix" package

Here is a brief guide to show you how to install r-cran-rstatix on Ubuntu 20.10 (Groovy Gorilla)

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

2. Uninstall "r-cran-rstatix" package

Please follow the instructions below to uninstall r-cran-rstatix on Ubuntu 20.10 (Groovy Gorilla):

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

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

Package: r-cran-rstatix
Architecture: all
Version: 0.6.0-1
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: 646
Depends: r-base-core (>= 4.0.2-1), r-api-4.0, r-cran-tidyr (>= 1.0.0), r-cran-purrr, r-cran-broom (>= 0.5.6), r-cran-rlang (>= 0.3.1), r-cran-tibble (>= 2.1.3), r-cran-dplyr (>= 0.7.1), r-cran-magrittr, r-cran-corrplot, r-cran-tidyselect (>= 1.0.0), r-cran-car, r-cran-generics (>= 0.0.2)
Recommends: r-cran-testthat
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-ggpubr, r-cran-emmeans, r-cran-coin, r-cran-boot
Filename: pool/universe/r/r-cran-rstatix/r-cran-rstatix_0.6.0-1_all.deb
Size: 591048
MD5sum: 9032f40119544c78a569778f1dd97fd8
SHA1: ad31260ac1c54d095907e88fcb422fb021ac5b2a
SHA256: 1809b7e3bc9bc6783905370e629ac8d444449685ddd18d40ee150b674da79eb2
SHA512: e724682e1f0e0eed5f1a806c8b8ee074197672887abca93c2f36d4a24545eed92cbe842d515dffdd1c15c7fbc2a8463e4124d1fc4e1986082ed8169fdc8027e3
Homepage: https://cran.r-project.org/package=rstatix
Description-en: Pipe-Friendly Framework for Basic Statistical Tests
Provides a simple and intuitive pipe-friendly framework, coherent with
the 'tidyverse' design philosophy, for performing basic statistical
tests, including t-test, Wilcoxon test, ANOVA, Kruskal-Wallis and
correlation analyses. The output of each test is automatically
transformed into a tidy data frame to facilitate visualization.
Additional functions are available for reshaping, reordering,
manipulating and visualizing correlation matrix. Functions are also
included to facilitate the analysis of factorial experiments, including
purely 'within-Ss' designs (repeated measures), purely 'between-Ss'
designs, and mixed 'within-and-between-Ss' designs. It's also possible
to compute several effect size metrics, including "eta squared" for
ANOVA, "Cohen's d" for t-test and 'Cramer V' for the association between
categorical variables. The package contains helper functions for
identifying univariate and multivariate outliers, assessing normality
and homogeneity of variances.
Description-md5: 5e4b0ed8924947ea533fee155c0fd5c9