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")
- The ggplot2 reference is thorough but inscrutable without knowing the philosophy of the thing.
- Fancy features are best discovered via the extension gallery.
- The cheat sheet has graphical references, which is the appropriate way to consider this thing.
- Max Woolf’s simple ggplot tutorial
- The ggplot book is available free if you build it yourself
- The ggplot chapter of R for data science.
- Want arbitrary lines and stuff to appear in the legends? E.g. a mean line or multiple model fits.
- ggvis is the latest iteration of the Hadley Wickham’s ggplot family, AFAICT, but currently on hiatus
- animating is sort of possible using ggplot2 but it is not fun.
browser-backed option Plotly has R support.
Other plotting systems
R Graphical Manual visualization of all CRAN R package example plots, and is searchable by topic.
Do you get an error like this when plotting SVGs?
unable to load shared object '/usr/local/Cellar/r/3.5.0_1/lib/R/library/grDevices/libs//cairo.so': dlopen(/usr/local/Cellar/r/3.5.0_1/lib/R/library/grDevices/libs//cairo.so, 6): image not found
Error in dev.control(displaylist = if (record) "enable" else "inhibit") : dev.control() called without an open graphics device Calls: local ... call_block -> block_exec -> chunk_device -> dev.control In addition: Warning messages: 1: In (function (filename = if (onefile) "Rplots.svg" else "Rplot%03d.svg", : unable to load shared object 'SOMETHING/r/3.6.2/lib/R/library/grDevices/libs//cairo.so': dlopen(SOMETHING/r/3.6.2/lib/R/library/grDevices/libs//cairo.so, 6): image not found
Cairo is finicky.
brew cask install r
or you can install
svglite as an alternative.
and use the device option
dev = "svglite".
Mind you, svglite can have its own problems.
I needed to do the following, on one Kubuntu workstation,
install.packages("devtools") devtools::install_github('davidgohel/gdtools') devtools::install_github("r-lib/svglite")
Or if you are using anaconda R:
this seems to help
conda update conda conda update --all conda install -c r r-essentials=1.7.0