Author: Nan Xiao <me@nanx.me>, Miaozhu Li <miaozhu.li@duke.edu>

Description: A collection of 'ggplot2' color palettes inspired by
scientific journals, data visualization libraries, and
Suggests: knitr, rmarkdown, gridExtra, reshape2

plots in scientific journals, data visualization libraries,

person("Miaozhu", "Li", email = "miaozhu.li@duke.edu", role = "ctb"))

Title: 'stats' for Seasonal Adjustment on the Fly with 'ggplot2'
Description: Provides 'ggplot2' 'stats' that estimate seasonally adjusted series
Depends: R (>= 3.1.2), seasonal, ggplot2 (>= 2.0.0)
Packaged: 2016-02-18 04:19:12 UTC; Peter Ellis

Depends: R (>= 3.1.2), seasonal, ggplot2 (>= 2.0.0), stats
Packaged: 2016-02-27 20:00:17 UTC; Peter Ellis

Packaged: 2016-02-28 19:22:46 UTC; Peter Ellis

and rolling summaries such as rolling average on the fly for time series.
Depends: R (>= 3.1.2), seasonal, ggplot2 (>= 2.0.0), stats, zoo
Packaged: 2016-03-13 18:38:06 UTC; Peter Ellis

person("Peter", "Ellis", , "peter.ellis2013nz@gmail.com", c("aut", "cre")),
person("Christophe", "Sax", role = "ctb")
Packaged: 2016-03-27 01:05:39 UTC; Peter Ellis

Description: Some useful functions that can use 'grid' and 'ggplot2' to plot sectors and interact with 'Seurat' to plot gene expression percentages. Also, there are some examples of how to draw sectors in 'ComplexHeatmap'.
Suggests: ComplexHeatmap, knitr, rmarkdown, reshape2, utils
Imports: dplyr, magrittr, Matrix, prettydoc, rlang, Seurat, stats,
Author: Pengdong Yan [aut, cre, cph] (<https://orcid.org/0000-0002-2425-7930>)

Description: Contains 'ggplot2' geom for plotting brain atlases using
simple features. The largest component of the package is the data
for the two built-in atlases. Mowinckel & Vidal-Piñero (2020)
Suggests: knitr, here, rmarkdown, freesurfer, covr, vdiffr, testthat

for the two built-in atlases. Mowinckel & Vidal-Piñeiro (2020)

Suggests: knitr, here, rmarkdown, covr, vdiffr, devtools, testthat (>=

Title: Tri-Surface Mesh Plots for Brain Atlases
Description: Mainly contains a plotting function ggseg3d(),
and data of two standard brain atlases (Desikan-Killiany and aseg).
By far, the largest bit of the package is the data for each of the atlases.
The functions and data enable users to plot tri-surface mesh plots of
brain atlases, and customise these by projecting colours onto the brain
segments based on values in their own data sets. Functions are wrappers
for 'plotly'. Mowinckel & Vidal-Piñeiro (2020)
Imports: dplyr, plotly, magrittr, scales, tidyr, utils,
Suggests: knitr, rmarkdown, covr, testthat (>= 2.1.0), devtools,