statsExpressions: Expressions and Dataframes with Statistical Details

Statistical processing backend for 'ggstatsplot', this package creates expressions with details from statistical tests. It can additionally return dataframes with these results, which also make these functions a more pipe-friendly way to do statistical analysis. Currently, it supports only the most common types of statistical approaches and tests: parametric, nonparametric, robust, and Bayesian versions of t-test/ANOVA, correlation analyses, contingency table analysis, and meta-analysis.

Version: 0.7.1
Depends: R (≥ 3.6.0)
Imports: afex, BayesFactor, correlation (≥ 0.6.0), dplyr, effectsize (≥ 0.4.3), insight (≥ 0.13.0), ipmisc (≥ 6.0.0), parameters (≥ 0.11.0), performance, rlang, stats, tidyr, WRS2 (≥ 1.1-1)
Suggests: ggplot2, knitr, metaBMA, metafor, metaplus, purrr, rmarkdown, spelling, testthat, utils
Published: 2021-02-19
Author: Indrajeet Patil ORCID iD [cre, aut, cph] (@patilindrajeets)
Maintainer: Indrajeet Patil < at>
License: GPL-3 | file LICENSE
NeedsCompilation: no
Language: en-US
Citation: statsExpressions citation info
Materials: README NEWS
CRAN checks: statsExpressions results


Reference manual: statsExpressions.pdf
Vignettes: Test and effect size details
Package source: statsExpressions_0.7.1.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release: statsExpressions_0.6.2.tgz, r-oldrel: statsExpressions_0.7.0.tgz
Old sources: statsExpressions archive

Reverse dependencies:

Reverse imports: ggstatsplot


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