Title: Grammar of Graphics for 'base' Plot
Description: Proof of concept for implementing grammar of graphics using base plot. The bbplot() function initializes a 'bbplot' object to store input data, aesthetic mapping, a list of layers and theme elements. The object will be rendered as a graphic using base plot command if it is printed.
Imports: graphics, magrittr, rlang, scales, methods, utils
Suggests: stats, ape, aplot (>= 0.0.8), dplyr, ggplotify (>= 0.1.0),

Title: Easily Visualize Data from 'ERDDAP' Servers via the 'rerddap'
person("Carson", "Sievert", role = "aut"),
person("Roy", "Mendelssohn", role = c("aut", "ctb", "cre"), email = "roy.mendelssohn@noaa.gov"))
Description: Easily visualize and animate 'tabledap' and 'griddap' objects obtained via the 'rerddap' package in a simple one-line command,  using either base graphics or 'ggplot2' graphics. 'plotdap' handles extracting and reshaping the data,  map projections and continental outlines.  Optionally the data can be animated through time using the 'gganmiate' package.
Imports: dplyr, gganimate, ggplot2 (>= 3.1.0), lazyeval, lubridate,
magrittr, mapdata, maps (>= 3.2.0), maptools, plot3D, rgdal,
Suggests: testthat, Cairo, knitr, rmarkdown

magrittr, maps, maptools, raster, rgdal, rgeos, scales, sf,
Suggests: Cairo, knitr, mapdata, rmarkdown, testthat

magrittr, maps, raster, rerddap (>= 0.6.0), rgeos, scales, sf,
Suggests: Cairo, knitr, mapdata, maptools, rgdal, rmarkdown, testthat

Imports: cmocean, dplyr, gganimate, ggplot2 (>= 3.1.0), lazyeval,
lubridate, magrittr, maps, raster, rerddap (>= 0.6.0), rgeos,

Imports: cmocean, dplyr, gganimate, ggnewscale (>= 0.4.1), ggplot2 (>=
3.1.0), lazyeval, lubridate, magrittr, maps, raster, rerddap
(>= 0.6.0), rgeos, scales, sf, tidyr, viridis

Imports: cmocean, dplyr, gganimate, ggnewscale, ggplot2 (>= 3.1.0),
lazyeval, lubridate, magrittr, maps, raster, rerddap (>=

Title: Various Functions to Facilitate Visualization of Data and
Description: When analyzing data, plots are a helpful tool for visualizing data and interpreting statistical models. This package provides a set of simple tools for building plots incrementally, starting with an empty plot region, and adding bars, data points, regression lines, error bars, gradient legends, density distributions in the margins, and even pictures. The package builds further on R graphics by simply combining functions and settings in order to reduce the amount of code to produce for the user. As a result, the package does not use formula input or special syntax, but can be used in combination with default R plot functions. Note: Most of the functions were part of the package 'itsadug', which is now split in two packages: 1. the package 'itsadug', which contains the core functions for visualizing and evaluating nonlinear regression models, and 2. the package 'plotfunctions', which contains more general plot functions.