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'.
| Version: |
1.0.1 |
| Depends: |
R (≥ 3.6.0) |
| Imports: |
BayesFactor (≥ 0.9.12-4.2), correlation (≥ 0.6.1), dplyr, effectsize (≥ 0.4.4-1), insight (≥ 0.13.0), ipmisc, parameters (≥ 0.13.0), performance (≥ 0.7.1), rlang, stats, tidyr, WRS2 |
| Suggests: |
afex, ggplot2, knitr, metaBMA, metafor, metaplus, purrr, rmarkdown, spelling, testthat, utils |
| Published: |
2021-04-13 |
| Author: |
Indrajeet Patil 
[cre, aut, cph] (@patilindrajeets) |
| Maintainer: |
Indrajeet Patil <patilindrajeet.science at gmail.com> |
| BugReports: |
https://github.com/IndrajeetPatil/statsExpressions/issues |
| License: |
GPL-3 | file LICENSE |
| URL: |
https://indrajeetpatil.github.io/statsExpressions/,
https://github.com/IndrajeetPatil/statsExpressions |
| NeedsCompilation: |
no |
| Language: |
en-US |
| Citation: |
statsExpressions citation info |
| Materials: |
README NEWS |
| CRAN checks: |
statsExpressions results |