10  Other R resources

Here is a collection of other useful resources for learning R.

• Introduction to Data Science by Rafael A Irizarry: a clear overview of the most important aspects of data analysis in R, covering basic syntax, data manipulation using the tidyverse, visualizations and a few productivity tools.
• The Epidemiologist R Handbook: an extensive R reference manual for various epidemiological analyses.
  • Applied Epi Tutorials: they also offer free self-paced R tutorials accessible online (requires registration). If you prefer learning in an interactive manner, then these are highly recommended. Also see swirl - interactive tutorials in R.
• Software Carpentry’s R for Reproducible Scientific Analysis workshop: this workshop goes over some of the other aspects of R that were not touched upon in the genomics workshop, e.g., data structures, loops, functions, etc.
• Jenny Bryan’s Stat 545: an accessible guide to data wrangling, exploration and analysis in R. It also covers a few important aspects for newcomers related to managing projects and treating your code as absolute rather than R’s history, as well as several other adjacent topics
• R for Data Science by Hadley Wickham: this book is a bit more advanced, but it is an excellent resource nonetheless. Hadley Wickham is one of the driving behind tidyverse and the author of the amazing Tidy Data paper.
• The Pirate’s Guide to R: slightly whimsical and quite thorough.
• R Graphics Cookbook: tons of examples for almost any kind of graphical representation you can imagine.
• ggplot2: Elegant Graphics for Data Analysis: a complete guide to the grammar of ggplot2.
• PeterMac Data Science: Intro to R Tidyverse Course: another introduction to the tidyverse, this time using the analysis of RNA-seq data as an example.

10.1 Cheatsheets

Everyone loves cheatsheets!

• ggplot2
• dplyr data transformations
• data tidying using tidyr and tibble