A 'ggplot2' Extension Inspired by 'GraphPad Prism'
person(given = "Charlotte",
family = "Dawson",
role = c("aut", "cre"),
email = "csdaw@outlook.com",
comment = c(ORCID = "0000-0002-7151-5971"))
Provides various themes, palettes, and other functions
that are used to customise ggplots to look like they were made in 'GraphPad
Prism'. The 'Prism'-look is achieved with theme_prism() and
scale_fill|colour_prism(), axes can be changed with custom guides like
guide_prism_minor(), and significance indicators added with add_pvalue().
digest, ggplot2 (>= 3.2.0), glue, grid, gtable (>= 0.1.1),
rlang (>= 0.3.0), scales (>= 0.5.0), stats, tibble, utils
covr, dplyr, ggbeeswarm, ggnewscale, knitr, magrittr,
patchwork, rmarkdown, rstatix, tidyr, tinytest
Charlotte Dawson [aut, cre] (<https://orcid.org/0000-0002-7151-5971>)

'ggplot2' is an excellent and flexible package for elegant data visualization in R.
However the default generated plots requires some formatting before we can send them for publication.
Furthermore, to customize a 'ggplot', the syntax is opaque and this raises the level of difficulty
for researchers with no advanced R programming skills.
'ggpubr' provides some easy-to-use functions for creating and customizing 'ggplot2'- based publication ready plots.
ggrepel, grid, ggsci, plyr, stats, utils
'desc_statby.R' 'diff_express.R' 'utilities.R' 'ggpar.R'
'ggbarplot.R' 'ggboxplot.R' 'ggdensity.R' 'stat_conf_ellipse.R'
'stat_chull.R' 'ggdotchart.R' 'ggdotplot.R' 'ggecdf.R'
'ggerrorplot.R' 'gghistogram.R' 'ggline.R' 'ggmaplot.R'
'ggpie.R' 'ggqqplot.R' 'ggscatter.R' 'ggstripchart.R'
'ggviolin.R' 'show_line_types.R' 'show_point_shapes.R'
'stat_mean.R' 'theme_pubr.R'

'ggplot2' is an excellent and flexible package for elegant data
visualization in R. However the default generated plots requires some formatting
before we can send them for publication. Furthermore, to customize a 'ggplot',
the syntax is opaque and this raises the level of difficulty for researchers
with no advanced R programming skills. 'ggpubr' provides some easy-to-use
functions for creating and customizing 'ggplot2'- based publication ready plots.
'desc_statby.R' 'diff_express.R' 'geom_exec.R' 'utilities.R'
'ggpar.R' 'ggbarplot.R' 'ggboxplot.R' 'ggdensity.R'
'stat_conf_ellipse.R' 'stat_chull.R' 'ggdotchart.R'
'ggdotplot.R' 'ggecdf.R' 'ggerrorplot.R' 'gghistogram.R'
'ggline.R' 'ggmaplot.R' 'ggpie.R' 'ggqqplot.R' 'ggscatter.R'
'ggstripchart.R' 'ggtext.R' 'ggviolin.R' 'show_line_types.R'
'show_point_shapes.R' 'stat_mean.R' 'theme_pubr.R'