Suggests: knitr(>= 1.14), rmarkdown(>= 1.2), testthat(>= 1.0.2)

Description: A 'ggplot2' extension that does a variety of little
helpful things.  The package extends 'ggplot2' facets through
customisation, by setting individual scales per panel, resizing panels
and providing nested facets.  Also allows multiple colour and fill
scales per plot. Also hosts a smaller collection of stats, geoms and axis
Imports: grid, gtable, scales, vctrs, rlang
Suggests: covr, digest, fitdistrplus, ggdendro, knitr, MASS, rmarkdown,
Author: Teun van den Brand [aut, cre] (<https://orcid.org/0000-0002-9335-7468>)
Maintainer: Teun van den Brand <tahvdbrand@gmail.com>

Suggests: covr, digest, fitdistrplus, ggdendro, vdiffr, knitr, MASS,
rmarkdown, stats, testthat (>= 3.0.0), utils

Imports: grid, gtable, scales, vctrs, rlang, lifecycle, stats, cli

Imports: grid, gtable, scales, vctrs (>= 0.5.0), rlang, lifecycle,

Title: Create a Half Normal Plot Using 'ggplot2'
Authors@R: person("Nathan", "Eastwood", , "nathan.eastwood@icloud.com",
Description: Reproduce the halfnorm() function found in the 'faraway' package

Title: Compose Half-Half Plots Using Your Favourite Geoms
Authors@R: person("Frederik", "Tiedemann", email = "fj.tiedemann@googlemail.com", role = c("aut", "cre"))
Description: A 'ggplot2' extension for easy plotting of half-half geom combinations. Think half boxplot and half jitterplot, or half violinplot and half dotplot.

Title: Visualisation of Highest Density Regions in 'ggplot2'
Description: Provides 'ggplot2' framework for visualising Highest Density Regions (HDR)
displays highest density regions in 'ggplot2' for one and two dimensions and
univariate densities conditional on one covariate.
Imports: hdrcde, ggplot2, grid, scales, farver, tibble, digest
Suggests: spelling, knitr, testthat (>= 2.1.0), vdiffr, rmarkdown, covr
Author: Mitchell O'Hara-Wild [aut] (<https://orcid.org/0000-0001-6729-7695>),

Description: The flexibility and excellence of 'ggplot2' is unquestionable,
so many drawing tools basically need 'ggplot2' as the operating object.
In order to develop a heatmap drawing system based on ggplot2, we developed
this tool, mainly to solve the heatmap puzzle problem and the flexible
connection between the heatmap and the 'ggplot2' object.
The advantages of this tool are as follows:
2. Realize the linkage of heatmap and 'ggplot2' drawing system,
which is helpful for operations such as puzzles;
4. Optimization of clustering tree visualization.
Imports: aplot, factoextra, tibble, ggpubr, tidyr
Packaged: 2021-05-25 13:16:05 UTC; LuoBaiwei