Chapters 1-5 of this tutorial are heavily based on material from the Nice R code modules introduction to R and Nice R code developed by Rich FitzJohn & Daniel Falster. The original website is available under http://nicercode.github.io/modules/
Chapter 6 is based on a Data Carpentry Workshop. with many modifications.

Topics we will cover this morning:

1. Preliminaries: Getting your environment set up.
2. Getting started: Starting R, using it as a calculator, and variables.
3. Loading data: Reading in data, viewing, and subsetting.
4. Writing functions: Avoiding errors and better describing your intent.
5. Data types: A digression on data types
6. ggplot2: Elegant plotting
7. Clean Coding & Project Organization (Slideshow):
8. Running R from Command line: Rscript

They also made a non-exhaustive list of bad habits that you should avoid and tips you should follow.

Zip file containg Data and Scripts data-and-scripts.zip

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