On this page you will find links to the data we need for the course, as well as course notes for each of the modules

Course Notes

  1. 00 - Basics (We didn’t actually go through this material, but referenced it as we worked through the other sections)

  2. Introduction

  3. Starting With data

  4. Plotting with ggplot2

  5. Subsetting data

  6. Data manipulation with dplyr

  7. Data manipulation with tidyr

  8. Writing data

  9. Basic statistics

  10. Writing functions

  11. Control flow

  12. Best practices

  13. Getting help

Data

Gapminder dataset

Gapminder dataset (wide format)

Scripts

You can download all of the scripts we created in the course in a zip file

Credits

Most of the material here was borrowed and adapted from Software Carpentry’s novice R Bootcamp material, which they make available for reuse under the Creative Commons Attribution (CC_BY) license. These are amazing people, doing amazing things to help the scientific world be more productive with their code and data. Check them out, and if you get the chance to attend a bootcamp, do it.

The course notes from Poisson Consulting’s 2012 R Course were also very helpful in putting this material together.

Source

Source material for the website can be found here: https://github.com/ateucher/rcourse_site

PDF

Download the entire course notes package as a pdf here

License

Notes: CC-BY. Code: MIT