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Dates: Tuesdays, January 9 - March 13, 2018
Time: 1400 - 1700
Location: Eckart Building, first floor, Sea Cave
Four Units, S/U Grading Only
Contact:
Eric Archer
[email protected]
858-546-7121
This course is designed to teach intermediate and advanced R programming techniques to students who already have experience with the basics of R. We will cover concepts to help improve the performance and management of code, provide the tools necessary to conduct quality reproducible research, and develop and release full R packages.
An introductory R course or equivalent experience is required. Students are expected to be familiar with basic R data structures, how to add and extract information from them through standard indexing techniques, reading and writing data, basic plotting, and writing and executing R functions.
The first hour and a half of each class will be a review of homework and lecture. In the second half, we will have individual and group work through tutorials. For a final project, students will work in groups to create a fully functional and documented R package that is hosted on Github.
| Date | Topic |
|---|---|
| January 9 | RStudio projects, RMarkdown, Git/Github |
| January 16 | Package development |
| January 23 | Package development |
| January 30 | S3 and S4 classes |
| February 6 | Code profiling and performance |
| February 13 | Non-standard evaluation |
| February 20 | ggplot |
| February 27 | dplyr, tidyr |
| March 6 | shiny |
| March 13 | Final package presentation |
- Students should come with the latest versions of R and RStudio installed on their laptops. They can be obtained at:
- R: https://www.r-project.org
- RStudio: https://www.rstudio.com
- Git: https://git-scm.com
- In R, make sure you have the following packages installed (with dependencies):
- knitr
- devtools
- Install a TeX distribution:
- Windows: MiKTeX (Complete) - http://miktex.org/2.9/setup (NOTE: Be sure to download the Complete rather than Basic installation)
- Mac OS X: TexLive 2013 (Full) - http://tug.org/mactex/ (NOTE: Download with Safari rather than Chrome strongly recommended)
- Linux: Use system package manager
- Make sure you have an account set up on GitHub (https://github.com)
- Wickham, H. 2014. Advanced R. CRC Press. 456pp. ISBN 978-1466586963
- Davies, T. 2016. The Book of R: A First Course in Programming and Statistics. No Starch Press. 832pp ISBN 978-1593276515
- Matloff, N. 2011. The Art of R Programming: A Tour of Statistical Software Design. No Starch Press. 400pp ISBN 978-1593273842
- R Bloggers: https://www.r-bloggers.com
- Base R Cheat Sheet: https://www.rstudio.com/wp-content/uploads/2016/10/r-cheat-sheet-3.pdf
- R Reference Card: https://cran.r-project.org/doc/contrib/Short-refcard.pdf
- Other Documentation: http://cran.stat.ucla.edu/other-docs.html