An introduction to R graphics features

The R environment is very powerful for analysis purposes. Despite the fact it has almost no graphical interface, its capabilities at producing high quality graphical output are probably even more than you will ever need.
Archaeologists willing to deal with quantitative methods for analyzing their data and drawing inferences from samples, will find that R is their best companion if they're going to take the time to learn some of the basics.
Let's start with some galleries that help us understanding what we can achieve with R:

  • the R Graph Gallery is a database with more than one hundred examples, each complete with source code
  • R Graphics Gallery is another gallery with dozens of professional looking graphics produced with R, and there's even one that archaeologists will find somehow familiar
  • the R graphical manuals provide the complete CRAN packages documentation, enhanced with more than 12.000 graphics
  • R Graphics by Paul Murrell is the online version of the book with the same title, and it contains a good deal of examples complete of both images and sources

If you take the time to read some of these huge documentation sets, you'll see that nothing is impossible in R (given enough code).The most obvious move to take when you want to produce some graphical output is to try the plot() command, using your object name as argument to that function, like plot(data). Simple enough.