Before we start:
- Download R following this link: Link to R website
- Download “R Studio Desktop” following this link: Link to R Studio website
- If you have issues with these installations, Please come a few minutes early.
- If you do not have a portable computer that you cannot bring, I may be able to provide one for you. Please email me.
Our schedule will look something like this:
In the next few hours we will be covering the first steps to scientific programming from scratch. This workshop assumes no prior programming knowledge.
|Intro to R Part 1||Fundamentals of programming, using functions, data types, importing and manipulating data.|
|Intro to R Part 2||plot data using ggplot, manipulate data using dplyr commands.|
If Part 2 is inspiring, you should check out a lesson put together by UCSB grad students An Bui and Sam Csik! Link here. They go far more in-depth into a lot of elements of the Tidyverse.
A big resource is the free book R for Data Science. A bit chewy but good place to go.
R studio maintains some cheatsheets which are super nice.
R Studio also maintains a forum for questions! R studio community.