vayr: Extensions for 'ggplot2' to Visualize as You Randomize

Extensions for 'ggplot2' that implement the "visualize as you randomize" principles of Coppock (2021) <doi:10.1017/9781108777919.022>, which can be especially useful when plotting experimental data. Provides position adjustments that arrange over-plotted points so that a statistical model can be shown in data-space, and a helper for graphing extreme value bounds when an experiment encounters attrition.

Version:	1.1.0
Depends:	R (≥ 4.1.0)
Imports:	ggplot2 (≥ 3.0.0), packcircles (≥ 0.3.7), withr (≥ 2.1.1)
Suggests:	dplyr, estimatr, knitr, marginaleffects, patchwork, randomizr, rmarkdown, sessioninfo, testthat, tibble, tidyr, tidyverse
Published:	2026-08-21
DOI:	10.32614/CRAN.package.vayr
Author:	Alexander Coppock [aut, cre, cph], Elias Hyde [ctb]
Maintainer:	Alexander Coppock <acoppock at gmail.com>
License:	GPL-2 | file LICENSE
URL:	https://alexandercoppock.com/vayr/
NeedsCompilation:	no
Citation:	vayr citation info
Materials:	README, NEWS
CRAN checks:	vayr results

Documentation:

Reference manual:	vayr.html , vayr.pdf
Vignettes:	Design-based graphs for seven experiments (source, R code) Visualize as you randomize (source, R code)

Downloads:

Package source:	vayr_1.1.0.tar.gz
Windows binaries:	r-devel: vayr_1.1.0.zip, r-release: vayr_1.1.0.zip, r-oldrel: vayr_1.1.0.zip
macOS binaries:	r-release (arm64): vayr_1.1.0.tgz, r-oldrel (arm64): vayr_1.1.0.tgz, r-release (x86_64): vayr_1.1.0.tgz, r-oldrel (x86_64): vayr_1.1.0.tgz
Old sources:	vayr archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=vayr to link to this page.