This page will feature slides from our sessions, recordings of the various sessions, exercises for you to complete, and their solutions (all to follow). Prior to the module, please install up-to-date versions of R and RStudio on the computer you will use during the summer institute. Both are free.
- R is available from this list of sites.
- RStudio is available here.
Script files are posted following each session; these will contain our R code for the exercises. To make them work on your computer, remember to modify file names and locations appropriately. Also note that many different 'correct' solutions are possible. All times/dates are Pacfic, i.e. Seattle time.
The module has 10 sessions, each of 80 minutes. The basic format for a session is:
- 45 minutes of lecture material. These will be recorded and made available as soon as possible. Recordings from 2021 are also available, if you want to watch in advance.
- 25 minutes of exercises for you to try, with small-group "breakout" Zoom sessions available, attended by other class participants, and Teaching Assistants. These are not recorded.
- 10 minute discussion of exercises, where the instructors will present possible solutions and answer questions. These will be recorded.
Please join the module's Slack channel, where you can ask questions and see real-time updates from the instructors and TAs.
Zoom room for all sessions.
| Monday, July 9th | |||
|---|---|---|---|
| Time | Topic | Lecture | Exercises/Discussion |
| 8:00am-9:20am | 1. Introductions, reading in data | Slides [.pdf], Code [.R], Zoom (2022), starts 0:27:00 | Exercises [.docx, .pdf] Key: [.R], Zoom (2022), starts 1:24:00 |
| 9:40am-11:00am | 2. More data summary and using functions | Slides [.pdf], Code [.R], Zoom (2022), starts 1:31:30 | Exercises [.docx, .pdf], Key: [.R], Zoom (2022), starts 2:19:22 |
| 11:30am-12:50pm | 3. Plotting functions, and formulas | Slides [.pdf], Code [.R], Zoom (2022), starts 2:29:20 | Exercises [.docx, .pdf], Key: [.R], Zoom (2022), starts 3:13:45 |
| 1:10pm-2:30pm | 4. Adding features to plots | Slides [.pdf], Code [.R], Zoom (2022), starts 3:28:30 | Exercises [.docx, .pdf], Key: [.R], Zoom (2022), starts 3:57:02 |
| Tuesday, July 10th | |||
| Time | Topic | Lecture | Exercises/Discussion |
| 8:00am-9:20am | 5. Over and over (i.e. loops) | Slides [.pdf], Code [.R], Zoom (2022), starts 0:14:25 | Exercises [.docx, .pdf], Key: [.R], Zoom, starts 1:34:44 |
| 9:40am-11:00am | 6. More loops, Control Structures, and Bootstrapping | Slides [.pdf], Code [.R], Zoom (2022) | Exercises [.docx, .pdf], Key: [.R], Zoom |
| 11:30am-12:50pm | 7. Fitting models | Slides [.pdf], Code [.R], Zoom (2022) | Exercises [.docx, .pdf], Key: [.R], Zoom |
| 1:10pm-2:30pm | 8. Introduction to R packages | Slides [.pdf], Code [.R], Zoom (2022) | Exercises [.docx, .pdf], Key: [.R], Zoom |
| Wednesday, July 11th | |||
| Time | Topic | Lecture | Exercises/Discussion |
| 8:00am-9:20am | 9. Writing your own functions | Slides [.pdf], Code [.R], Zoom (2022) | Exercises [.docx, .pdf] Key: [.R] Zoom |
| 9:40am-11:00am | 10. The End! | Slides [.pdf] , resources below, Zoom-whole session (2022) | |
Some special material for Session 10:
- An introductory Markdown file:
- A Introduction to ggplot2 presentation
- ... and the R Markdown file that made it
- Script files ui.R, server.R and data file for the shiny/salary example. This app is available online
- Shiny's gallery shows much more functionality than we have time to mention
Comments forms and attendance certificates are available here - requires SISG account.
Before trying to read data into your R session, we recommend looking at it first, in a text editor. Is the data comma- or tab-delimited? Does it have a 'header' row containing variable names?
- The R site, which includes the Comprehensive R Archive Network (CRAN) of downloads and packages
- A reference card of common R commands (and a slightly longer reference card)
- A cheat sheet for ggplot
- The R Graphics Gallery has a good selection of examples - most are more complicated than those seen in our slides
- Some R mailing lists - joining the announce list is recommended. CrossValidated is also helpful (but search it before posting)
- To change languages, put a .Renviron file in the startup working directory - use en for English, or de, it (To get the working directory, use getwd())
- P. Dalgaard, Introductory Statistics with R: Springer, 2nd Edition 2008 [good if you haven't seen much statistics before, though it uses very simple methods, and doesn't emphasize programming much. There are several other texts at this level]
- Matloff, The Art of R Programming, 2011; goes from introductory programming up to a high level.
- Braun and Murdoch, A First Course in Statistical Programming with R, CUP 2007 [A different emphasis from the other books here, good for those new to programming]
Last modified: 7/9/2021