Wrappers to Simplify Beautiful 'ggplot2' Visualisation
Wrapper functions around the amazing 'ggplot2' package with the
objective to simplify beautiful 'ggplot2' visualisation.

Wrappers to Simplify Pretty 'ggplot2' Visualisation
Wrapper functions around the amazing 'ggplot2' package to simplify
pretty visualisation.
dplyr, forcats, ggplot2, lubridate, magrittr, purrr, rlang,
scales, snakecase, stringr, tidyr, tidyselect, viridis
ggforce, palmerpenguins, pals, patchwork, plotly, santoku, sf

Wrappers to Simplify 'ggplot2' Visualisation
Simplify visualisation with 'ggplot2' wrapper functions.
palmerpenguins, pals, patchwork, plotly, santoku, sf

Simplify 'ggplot2' visualisation with 'ggblanket' wrapper functions.
dplyr, forcats, ggplot2, lubridate, magrittr, purrr, rlang,
scales, snakecase, tidyr, tidyselect, viridis
knitr, palmerpenguins, pals, patchwork, plotly, rmarkdown,
sf, stringr

dplyr, forcats, ggplot2, hms, lubridate, magrittr, purrr,
rlang, scales, snakecase, tidyr, tidyselect, viridis

dplyr, forcats, ggplot2 (>= 3.4.0), hms, lubridate, magrittr,
purrr, rlang, scales, snakecase, stringr, tidyr, tidyselect,
viridis
ggdensity, ggiraph, ggtext, hexbin, knitr, palmerpenguins,
pals, patchwork, rmarkdown, sf

A set of geometries to make line plots a little bit nicer. Use
along with 'ggplot2' to:
- Improve the clarity of line plots with many overlapping lines
- Draw more realistic worms.

person(
given = "Neal",
family = "Grantham",
role = c("aut", "cre"),
email = "neal@nsgrantham.com"
)
A new stat, stat_braid(), that extends the functionality of
geom_ribbon() to correctly fill the area between two alternating lines
(or steps) with two different colors, and a geom, geom_braid(), that
wraps geom_ribbon() and uses stat_braid() by default.
rmarkdown, knitr, scales, readr, dplyr, tidyr, ggtext, glue,
hms

Create Images of Volumetric Brain Data in NIfTI Format Using
'ggplot2' Syntax
person("Michael", "Hallquist", , "michael.hallquist@gmail.com", role = c("aut", "cre"),
comment = c(ORCID = "0000-0001-5894-8038"))
A 'ggplot2'-consistent approach to generating 2D displays of  volumetric brain imaging data.
Display data from multiple NIfTI images using standard 'ggplot2' conventions such scales, limits, and
themes to control the appearance of displays. The resulting plots are returned as 'patchwork' objects,
inheriting from 'ggplot', allowing for any standard modifications of display aesthetics supported by 'ggplot2'.
Matrix, RNifti, checkmate, data.table, dplyr, ggplot2,
ggnewscale, ggrepel, glue, imager, patchwork, rlang, tibble,
tidyr, tidyselect, Rcpp
Michael Hallquist [aut, cre] (<https://orcid.org/0000-0001-5894-8038>)