statsExpressions: Tidy Dataframes and Expressions with Statistical Details

Utilities for producing dataframes with rich details for the most common types of statistical approaches and tests: parametric, nonparametric, robust, and Bayesian t-test, one-way ANOVA, correlation analyses, contingency table analyses, and meta-analyses. The functions are pipe-friendly and provide a consistent syntax to work with tidy data. These dataframes additionally contain expressions with statistical details, and can be used in graphing packages. This package also forms the statistical processing backend for 'ggstatsplot'. References: Patil (2021) <doi:10.21105/joss.03236>.

Version: 1.5.5
Depends: R (≥ 4.1.0)
Imports: afex (≥ 1.3-1), BayesFactor (≥ 0.9.12-4.7), correlation (≥ 0.8.5), datawizard (≥ 0.11.0), dplyr (≥ 1.1.4), effectsize (≥ 0.8.9), glue (≥ 1.7.0), insight (≥ 0.20.1), magrittr (≥ 2.0.3), parameters (≥ 0.22.0), performance (≥ 0.12.0), PMCMRplus (≥ 1.9.10), purrr (≥ 1.0.2), rlang (≥ 1.1.4), stats, tibble (≥ 3.2.1), tidyr (≥ 1.3.1), withr (≥ 3.0.0), WRS2 (≥ 1.1-6), zeallot (≥ 0.1.0)
Suggests: bayestestR (≥ 0.13.2), ggplot2, knitr, metaBMA, metafor, metaplus (≥ 1.0-5), rmarkdown, rstantools, survival, testthat (≥ 3.2.1), utils
Published: 2024-07-05
DOI: 10.32614/CRAN.package.statsExpressions
Author: Indrajeet Patil ORCID iD [cre, aut, cph] (@patilindrajeets)
Maintainer: Indrajeet Patil < at>
License: MIT + file LICENSE
NeedsCompilation: no
Language: en-US
Citation: statsExpressions citation info
Materials: README NEWS
CRAN checks: statsExpressions results


Reference manual: statsExpressions.pdf
Vignettes: statsExpressions: R Package for Tidy Dataframes and Expressions with Statistical Details
Test and effect size details


Package source: statsExpressions_1.5.5.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): statsExpressions_1.5.5.tgz, r-oldrel (arm64): statsExpressions_1.5.4.tgz, r-release (x86_64): statsExpressions_1.5.5.tgz, r-oldrel (x86_64): statsExpressions_1.5.4.tgz
Old sources: statsExpressions archive

Reverse dependencies:

Reverse imports: ggstatsplot


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