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Instructor
Jared S. Murray, Ph.D., Assistant Professor of Statistics
- Email: jared.murray@mccombs.utexas.edu
- Website: http://jaredsmurray.github.io/
- Office: CBA 6.482 (Sixth floor, on the east side of the building that faces the entrance of Gregory Gym)
- Office Hours: Tuesday & Thursday 3:40-5:00 PM, or by appointment. Please email me to set appointments; this ensures that I’m prepared for your visit, and that you don’t waste time trying to drop in when I’m not available.
Teaching Assistant
Rohit Arora, IROM PhD Student
- Email: arorarohit@utexas.edu
- Office: CBA 3.332L
- Office Hours: Wednesday 4:00 - 5:00PM and Friday 4:30 - 5:30
Please see the syllabus for more information.
Homework assignments (solutions available via Canvas)
Please be sure to follow the instructions in the PDF and the guidelines on Canvas carefully.
- Homework 0 (nothing to turn in!): Complete the first three tutorials listed below under “R/RStudio resources”. By “complete” I mean follow along with the reading, and make sure you can run all the R commands from within RStudio. It is most helpful if you actually type the commands in yourself, rather than copy and pasting the code. It’s tedious at first but helpful for learning. Once you’ve worked through the tutorials, run the R code accompanying the Section 1.1 lecture notes. Try changing things and see what happens!
- Homework 1: Follow the instructions in the PDF carefully. Associated R code is here. Solutions: On Canvas, attached to the assignment.
- Homework 2: Follow the instructions in the PDF carefully and note there is one problem in addition to the Freemark case (problem 4).
- Homework 3
- Homework 4
- Homework 5 (R script)
- Homework 6 (R script)
- Homework 7 (R script)
- Homework 8 (R script)
- Homework 9 (R script)
R/RStudio resources
There are many, many resources online for working in R. I have collected a few for you here, and I will continue to update this section throughout the semester:
Other general resources:
Specific guidance/extra information: