Links

R

ggplot2

  • Wickham, Hadley. 2010. “A Layered Grammar of Graphics.” Journal of Computational and Graphical Statistics 19(1): 3–28. http://dx.doi.org/10.1198/jcgs.2009.07098 (March 23, 2015).
  • The ggplot2 book.
  • The ggplot2 documentation http://docs.ggplot2.org/current/. If you don’t know the function you want click on something with a picture that looks like what you are looking for.
  • Cookbook for R graphs. The author now works for Rstudio, infer from that what you will. It is organized by specific task so it may be easier to find what you are looking for than the documentation. This contains some of what is in the book, R Graphics Cookbook.
  • Beautiful plotting in R: A ggplot2 cheatsheet
  • R Graph Catalog
  • Karthik Ram, “A Quick introduction to ggplot2” tutorial, link
  • jennybc, ggplot2-tutorial
  • Stat 545, All the graph things links

Data wrangling (tidyr / dplyr)

R Markdown

R Programming

  • Hadley Wickham, Advanced R. If you really want to know what R as a language is doing, this is now the place to start. Available free as in beer and freedom at http://adv-r.had.co.nz/, and as a physical copy published by CRC.
  • Hadley Wickham, R packages. If you want to write your own R package (and you should), start here. Available for free at http://r-pkgs.had.co.nz/.
  • Norman Matloff, The Art of R Programming
  • Garrett Grolemund, Hands-On Programming with R
  • Like Dante? Frustrated with R? The R Inferno

General

  • awesome-R a curated list of R frameworks, packages and software.
  • Quick-R
  • Jared Lander, R for Everyone Teaches R assuming neither a programming or statistics background. One that I have considered and may consider in the future.
  • Peter Daalgard, Introductory Statistics with R
  • Robert Muenchen, R for Stata Users
  • Venables and Ripley, Modern Applied Statistics with S. A good reference book for both a variety of statistical models and how to implement them in R.

LaTeX