Package: grafify
Type: Package
Title: Easy Graphs for Data Visualisation and Linear Models for ANOVA
Date: 2025-08-23
Version: 5.1.0
Authors@R: c(person("Avinash R", "Shenoy", email = "a.shenoy@imperial.ac.uk", role = c("cre", "aut"), comment = c(ORCID = "0000-0001-6228-9303")))
Description: Easily explore data by plotting graphs with a 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 in many ways, for example, by choosing from
colour blind-friendly palettes (12 discreet, 3 continuous and 2
divergent palettes). Use the simple code for ANOVA as ordinary
(lm()) or mixed-effects linear models (lmer()), including
randomised-block or repeated-measures designs, and fit
non-linear outcomes as a generalised additive model (gam) using
mgcv(). Obtain estimated marginal means and perform post-hoc
comparisons on fitted models (via emmeans()). Also includes
small datasets for practising code and teaching basics before
users move on to more complex designs. See vignettes for
details on usage . Citation:
.
License: GPL (>= 2)
Imports: car, dplyr, emmeans, Hmisc, lme4, lmerTest, magrittr, mgcv,
patchwork, purrr, stats, tidyr
Depends: R (>= 4.0), ggplot2 (>= 3.4.0)
Encoding: UTF-8
LazyData: true
Language: en-GB
RoxygenNote: 7.3.2
Roxygen: list(markdown = TRUE)
Suggests: knitr, Matrix (>= 1.6-5), rlang, rmarkdown, pbkrtest,
testthat (>= 3.0.0)
URL: https://github.com/ashenoy-cmbi/grafify
Config/testthat/edition: 3
Config/pak/sysreqs: cmake make libicu-dev libuv1-dev
Repository: https://ashenoy-cmbi.r-universe.dev
Date/Publication: 2025-08-25 19:49:21 UTC
RemoteUrl: https://github.com/ashenoy-cmbi/grafify
RemoteRef: HEAD
RemoteSha: c14b13f0893f2a6f0355e9cbf6382f712dd51f09
NeedsCompilation: no
Packaged: 2026-06-21 08:00:39 UTC; root
Author: Avinash R Shenoy [cre, aut] (ORCID:
)
Maintainer: Avinash R Shenoy