ggstatsplot: 'ggplot2' Based Plots with Statistical Details
Extension of 'ggplot2', 'ggstatsplot' creates graphics with
details from statistical tests included in the plots themselves. It
provides an easier syntax to generate information-rich plots for
statistical analysis of continuous (violin plots, scatterplots,
histograms, dot plots, dot-and-whisker plots) or categorical (pie and
bar charts) data. Currently, it supports the most common types of
statistical approaches and tests: parametric, nonparametric, robust,
and Bayesian versions of t-test/ANOVA, correlation analyses,
contingency table analysis, meta-analysis, and regression analyses.
References: Patil (2021) <doi:10.21105/joss.03236>.
Version:
0.13.3
Depends:
R (≥ 4.3.0)
Imports:
correlation (≥ 0.8.8),
datawizard (≥ 1.2.0),
dplyr (≥
1.1.4),
ggcorrplot (≥ 0.1.4.1),
ggplot2 (≥ 4.0.0),
ggrepel (≥ 0.9.6),
ggside (≥ 0.4.0),
ggsignif (≥ 0.6.4),
glue (≥
1.8.0),
insight (≥ 1.4.2),
magrittr (≥ 2.0.4),
paletteer (≥
1.6.0),
parameters (≥ 0.28.2),
patchwork (≥ 1.3.2),
performance (≥ 0.15.1),
purrr (≥ 1.1.0),
rlang (≥ 1.1.6),
statsExpressions (≥ 1.7.1),
tidyr (≥ 1.3.1), utils
Suggests:
afex,
bayestestR,
BayesFactor (≥ 0.9.12-4.7),
gapminder,
knitr,
lme4 (≥ 1.1-37),
MASS,
metaBMA,
metafor,
metaplus,
psych,
rmarkdown,
rstantools, stats,
survival,
testthat (≥
3.2.3),
tibble,
vdiffr (≥ 1.0.8),
withr,
WRS2
Published:
2025年10月05日
Maintainer:
Indrajeet Patil <patilindrajeet.science at gmail.com>
NeedsCompilation:
no
Language:
en-US
Documentation:
Downloads:
Reverse dependencies:
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