_            _    _        _         _
      /\ \         /\ \ /\ \     /\_\      / /\
      \_\ \       /  \ \\ \ \   / / /     / /  \
      /\__ \     / /\ \ \\ \ \_/ / /     / / /\ \__
     / /_ \ \   / / /\ \ \\ \___/ /     / / /\ \___\
    / / /\ \ \ / / /  \ \_\\ \ \_/      \ \ \ \/___/
   / / /  \/_// / /   / / / \ \ \        \ \ \
  / / /      / / /   / / /   \ \ \   _    \ \ \
 / / /      / / /___/ / /     \ \ \ /_/\__/ / /
/_/ /      / / /____\/ /       \ \_\\ \/___/ /
\_\/       \/_________/         \/_/ \_____\/
r-ggstatsplot 0.13.3
Propagated dependencies: r-correlation@0.8.8 r-datawizard@1.3.0 r-dplyr@1.1.4 r-ggcorrplot@0.1.4.1 r-ggplot2@4.0.1 r-ggrepel@0.9.6 r-ggside@0.4.1 r-ggsignif@0.6.4 r-glue@1.8.0 r-insight@1.4.3 r-magrittr@2.0.4 r-paletteer@1.6.0 r-parameters@0.28.3 r-patchwork@1.3.2 r-performance@0.15.2 r-purrr@1.2.0 r-rlang@1.1.6 r-statsexpressions@1.7.1 r-tidyr@1.3.1
Channel: guix
Location: gnu/packages/cran.scm (gnu packages cran)
Home page: https://indrajeetpatil.github.io/ggstatsplot/
Licenses: GPL 3
Synopsis: Based plots with statistical details
Description:

This package generates graphics with embedded details from statistical tests. Statistical tests included in the plots themselves. It provides an easier syntax to generate information-rich plots for statistical analysis of continuous or categorical 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.

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