Ubuntu
r-cran-rstatix package

r-cran-rstatix 0.7.2-1 source package in Ubuntu

Changelog

r-cran-rstatix (0.7.2-1) unstable; urgency=medium

  * Team upload.
  * New upstream version
  * Standards-Version: 4.6.2 (routine-update)
  * dh-update-R to update Build-Depends (routine-update)
  * Sync Test-Depends with Suggests

 -- Andreas Tille <email address hidden>  Mon, 06 Feb 2023 14:05:51 +0100

Upload details

Uploaded by:
Debian R Packages Maintainers
Uploaded to:
Sid
Original maintainer:
Debian R Packages Maintainers
Architectures:
all
Section:
misc
Urgency:
Medium Urgency

See full publishing history Publishing

Series Pocket Published Component Section
Oracular release universe misc
Noble release universe misc
Mantic release universe misc
Lunar release universe misc

Builds

Lunar: [FULLYBUILT] amd64

Downloads

File Size SHA-256 Checksum
r-cran-rstatix_0.7.2-1.dsc 2.4 KiB 47d8fcf7a0f5c6a7336cd74035f66e5873e83570fb94488c3330927e5d71a323
r-cran-rstatix_0.7.2.orig.tar.gz 395.8 KiB e0c6f5ab1d9c5d84713defabc5d149aad3d55944cffdb903cc128b694e5221a1
r-cran-rstatix_0.7.2-1.debian.tar.xz 2.9 KiB e556165c2cffc758791b2b2ad8515795249d6109abe9f839c3d559b823c5e7f3

Available diffs

No changes file available.

Binary packages built by this source

r-cran-rstatix: 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.