grafify: Easy Graphs for Data Visualisation and Linear Models for ANOVA

Easily explore data by generating different kinds of graphs with few lines of code. Use these ggplot() wrappers to quickly draw graphs of scatter/dots with box-whiskers, violins or SD error bars, data distributions, before-after graphs, factorial ANOVA and more. Customise graphs and choose from 8 colour-blind friendly discreet or 1 continuous colour scheme. Simple code for ANOVA as ordinary (lm()) or mixed-effects linear models (lmer()), including randomised-block or repeated-measures designs. Carry out post-hoc comparisons on fitted models (via emmeans() wrappers). Also includes small datasets for practicing code and teaching basics before users move on to more complex designs. See vignettes for details on usage <>. Citation: <doi:10.5281/zenodo.5136508>.

Version: 2.2.0
Depends: R (≥ 4.0), ggplot2
Imports: car, emmeans, Hmisc, lme4, lmerTest, magrittr, purrr, stats, tidyr
Suggests: dplyr, knitr, rlang, rmarkdown, pbkrtest, testthat (≥ 3.0.0)
Published: 2022-03-24
Author: Avinash R Shenoy ORCID iD [cre, aut]
Maintainer: Avinash R Shenoy <a.shenoy at>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
Citation: grafify citation info
Materials: NEWS
CRAN checks: grafify results


Reference manual: grafify.pdf


Package source: grafify_2.2.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): grafify_2.2.0.tgz, r-release (x86_64): grafify_2.2.0.tgz, r-oldrel: grafify_2.2.0.tgz
Old sources: grafify archive


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