The Living Thing / Notebooks :

Plotting in R

Usefulness: 🔧 🔧
Novelty: 💡
Uncertainty: 🤪 🤪 🤪
Incompleteness: 🚧 🚧 🚧

Plotting for r is a major selling point o fthe whole platform. And thanks to projects like shiny it is not only for your own computer but can even be used to backend webapps.

ggplot2

More tidyverse! Probably the favourite plotting system for R these days.

Kieran Healy advises the following set up for visualisation in the tidyverse style :

my_packages <- c("tidyverse", "broom", "coefplot", "cowplot",
    "gapminder", "GGally", "ggrepel", "ggridges",X "gridExtra",
    "interplot", "margins", "maps", "mapproj", "mapdata",
    "MASS", "quantreg", "scales", "survey", "srvyr",
    "viridis", "viridisLite", "devtools")

install.packages(my_packages,
    repos = "http://cran.rstudio.com")

Other plotting systems

R Graphical Manual visualization of all CRAN R package example plots, and is searchable by topic.