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
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
- diff from 0.7.1-1 to 0.7.2-1 (10.8 KiB)
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.
