CRAN/E | grafify

grafify

Easy Graphs for Data Visualisation and Linear Models for ANOVA

Installation

About

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: doi:10.5281/zenodo.5136508.

Citation grafify citation info
github.com/ashenoy-cmbi/grafify

Key Metrics

Version 4.0.1
R ≥ 4.0
Published 2024-02-25 53 days ago
Needs compilation? no
License GPL-2
License GPL-3
CRAN checks grafify results
Language en-GB

Downloads

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Maintainer

Maintainer

Avinash R Shenoy

a.shenoy@imperial.ac.uk

Authors

Avinash R Shenoy

cre / aut

Material

NEWS
Reference manual
Package source

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

grafify archive

Depends

R ≥ 4.0
ggplot2 ≥ 3.4.0

Imports

car
emmeans
Hmisc
lme4
lmerTest
magrittr
mgcv
patchwork
purrr
stats
tidyr

Suggests

dplyr
knitr
Matrix ≥ 1.6-5
rlang
rmarkdown
pbkrtest
testthat ≥ 3.0.0