Today

  • Course introduction, logistics.

  • Review of linear regression.

Course material

All lecture notes are in RMarkdown. It is a good idea to learn by running through the code examples. You can do this in several ways.

Run in Binder

Easiest way is to run RStudio Binder, a free service that allows us to run Jupyter Notebooks in cloud. Simply follow the Binder link at https://ucla-biostat-200c-2020spring.github.io/schedule/schedule.html.

Run locally on your own computer

  1. Install the most recent versions of R and RStudio.

  2. Git clone the course material in RStudio: File -> New Project... -> Version Control -> Git. Enter https://github.com/ucla-biostat-200c-2020spring/ucla-biostat-200c-2020spring.github.io.git in the Repository URL and click Create Project.

  3. Course material is updated frequently. Remember to git pull to obtain the most recent material at beginning of each session.