Additional Resources

  1. The R Graph Gallery: The R graph gallery, a collection of charts made with the R programming language. Hundreds of charts are displayed in several sections, always with their reproducible code available. The gallery makes a focus on the tidyverse and ggplot2

  2. A short list of the most useful R commands; A summary of the most important commands with minimal examples. See the relevant part of the guide for better examples. For all of these commands, using the help(function) or ? function is the most useful source of information. Unfortunately, knowing what to ask for help about is the hardest problem.

  3. R in Action: Data Analysis and Graphics with R

  4. Aggregation and Restructuring data (from “R in Action”)

  5. How to Visualize and Compare Distributions in R

  6. Spatial Cheat sheet :This cheatsheet is an attempt to supply you with the key functions and manipulations of spatial vector and raster data. It does not have examples for you to cut and paste, its intention is to provoke the “Oh yes, that’s how you do it” thought when stuck