_            _    _        _         _
      /\ \         /\ \ /\ \     /\_\      / /\
      \_\ \       /  \ \\ \ \   / / /     / /  \
      /\__ \     / /\ \ \\ \ \_/ / /     / / /\ \__
     / /_ \ \   / / /\ \ \\ \___/ /     / / /\ \___\
    / / /\ \ \ / / /  \ \_\\ \ \_/      \ \ \ \/___/
   / / /  \/_// / /   / / / \ \ \        \ \ \
  / / /      / / /   / / /   \ \ \   _    \ \ \
 / / /      / / /___/ / /     \ \ \ /_/\__/ / /
/_/ /      / / /____\/ /       \ \_\\ \/___/ /
\_\/       \/_________/         \/_/ \_____\/
r-ggstatsplot 1.0.0
Propagated dependencies: r-correlation@0.8.8 r-datawizard@1.3.1 r-dplyr@1.2.1 r-forcats@1.0.1 r-ggcorrplot@0.1.4.1 r-ggplot2@4.0.3 r-ggrepel@0.9.8 r-ggside@0.4.1 r-ggsignif@0.6.4 r-glue@1.8.1 r-insight@1.5.1 r-paletteer@1.7.0 r-parameters@0.29.0 r-patchwork@1.3.2 r-performance@0.17.0 r-purrr@1.2.2 r-rlang@1.2.0 r-statsexpressions@2.0.0 r-tidyr@1.3.2
Channel: guix
Location: gnu/packages/cran.scm (gnu packages cran)
Home page: https://indrajeetpatil.github.io/ggstatsplot/
Licenses: GPL 3
Build system: r
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.

Total packages: 1