Imports: ggplot2, glue, grid, gridpattern (>= 1.0.1), rlang, scales,

Imports: ggplot2 (>= 3.4.0), glue, grid, gridpattern (>= 1.0.2), rlang,

Title: Parallel Coordinate Plots in the 'ggplot2' Framework
person("Susan", "VanderPlas", , "susan.vanderplas@unl.edu", c("aut"),
person("Yawei", "Ge", , "yaweige@iastate.edu", c("aut"))
Description: Modern Parallel Coordinate Plots have been introduced in the 1980s as
a way to visualize arbitrarily many numeric variables. This Grammar of Graphics implementation
also incorporates categorical variables into the plots in a principled manner.
By separating the data managing part from the visual rendering, we give full access
to the users while keeping the number of parameters manageably low.
Suggests: knitr, rmarkdown, purrr, testthat, GGally
Author: Heike Hofmann [aut, cre] (<https://orcid.org/0000-0001-6216-5183>),

Title: Easy Plotting of Periodic Data with 'ggplot2'
Authors@R: person("Elio", "Campitelli", email = "elio.campitelli@cima.fcen.uba.ar", role = c("cre", "aut"))
Description: Implements methods to plot periodic data in any arbitrary range on the fly.
Imports: dplyr, ggplot2, sticky, tidyselect
Suggests: covr, knitr, maps, rmarkdown, testthat, vdiffr

Authors@R: person("Elio", "Campitelli", email = "elio.campitelli@cima.fcen.uba.ar",
Imports: dplyr, ggplot2, sticky, tidyselect, data.table

Description: Create pie, donut and rose pie plot with 'ggplot2'.
Imports: dplyr, grDevices, RColorBrewer, scales, tibble, ggnewscale,
ggplot2, ggrepel, magrittr, rlang, utils, cowplot

ggplot2, ggrepel, magrittr, rlang, utils, cowplot, stringr

ggplot2, ggrepel, magrittr, rlang, utils, stringr
Suggests: rmarkdown, cowplot, prettydoc, knitr

Title: Grammar of graphics based plots for R
Description: See \url{http://had.co.nz/ggplot/} for more information.
Suggests: butler, hexbin, mapproj, quantreg
Packaged: Wed Apr  5 11:59:42 2006; hadley

Title: An implementation of the Grammar of Graphics in R
Description: An implementation of the grammar of graphics in R. It combines the advantages of both base and lattice graphics: conditioning and shared axes are handled automatically, and you can still build up a plot step by step from multiple data sources. It also implements a more sophisticated multidimensional conditioning system and a consistent interface to map data to aesthetic attributes. See \url{http://had.co.nz/ggplot/} for more information, documentation and examples.
Depends: R (>= 2.3), grid, reshape (>= 0.6.3), RColorBrewer
Packaged: Fri Jun 23 10:01:58 2006; hadley