Statistical Computing: Fall 2018

Statistics 36-350

Instructor: Ryan Tibshirani (ryantibs at cmu dot edu)

Important note: please direct emails on all course related matters to the Head TA, not the Instructor. The subject line of all emails should begin with "[36-350]".

Head TA: Theresa Gebert (tgebert at andrew dot cmu dot edu)

TAs:
Tim Barry (tbarry2 at andrew dot cmu dot edu)
Beomjo Park (beomjop at andrew dot cmu dot edu)
Aijin Wang (aijinw at andrew dot cmu dot edu)

Lecture times: Mondays, Wednesdays, and Fridays 11:30am-12:20pm, Baker Hall A51

Office hours:
RT: Wednesdays 12:30-1:30pm, Baker Hall 229B
TG/AW: Thursdays 1:30-2:30p, GHC 4101
TB/BP: Fridays 3-4pm, Baker 132Q

Syllabus: here. Discussions: Piazza group.

Class schedule

Week 1 (Mon Aug 27 - Fri Aug 31). Basic data structures.
- Notes: slides, html, Rmd
- Intruder code: intruder_demo.R, intruder.R
- Quiz 1: QNA
- Lab 1: html, Rmd
Week 2 (Weds Sept 5 - Fri Sept 7). Indexing and iteration.
No class Monday: Labor Day.
- Notes: slides, html, Rmd
- Quiz 2: QNA
- Lab 2: html, Rmd
Week 3 (Mon Sept 10 - Fri Sept 14). Text manipulation.
- Notes: slides, html, Rmd
- Quiz 3: QNA
- Lab 3: html, Rmd
Week 4 (Mon Sept 17 - Fri Sept 21). Data frames and apply.
- Notes: slides, html, Rmd
- Plyr (optional): slides, html, Rmd
- Quiz 4: QNA
- Lab 4: html, Rmd
Week 5 (Mon Sept 24 - Fri Sept 28). Plotting.
- Notes: slides, html, Rmd
- Quiz 5: QNA
- Lab 5: html, Rmd
Week 6 (Mon Oct 1 - Fri Oct 5). Functions.
- Notes: slides, html, Rmd
- Quiz 6: QNA
- Lab 6: html, Rmd
Week 7 (Mon Oct 8 - Fri Oct 12). Simulation.
- Notes: slides, html, Rmd
- Quiz 7: QNA
- Lab 7: html, Rmd
Week 8 (Mon Oct 15 - Weds Oct 17). Reading in data.
No class Friday: Midsemester break.
- Notes: slides, html, Rmd
- Quiz 8: QNA
- Lab 8: html, Rmd
Week 9 (Mon Oct 22 - Weds Oct 24). Fitting models to data.
No class Friday: Presidential inauguration.
- Notes: slides, html, Rmd
- Quiz 9: QNA
- Lab 9: html, Rmd
Week 10 (Mon Oct 29 - Fri Nov 2). Tidyverse I: Pipes and dplyr.
- Notes: slides, html, Rmd
- Quiz 10: QNA
- Lab 10: html, Rmd
Week 11 (Mon Nov 5 - Fri Nov 9). Tidyverse II: Tidyr and advanced dplyr.
- Notes: slides, html, Rmd
- Quiz 11: QNA
- Lab 11: html, Rmd
Week 12 (Mon Nov 12 - Fri Nov 16). Debugging and testing.
- Notes: slides, html, Rmd
- Quiz 12: QNA
- Lab 12: html, Rmd
Week 13 (Mon Nov 21). Version control and Git.
No class Wednesday and Friday: Thanksgiving!
- Notes: slides, html, Rmd
- ~~Quiz 13: QNA~~, canceled!
Week 14 (Mon Nov 26 - Fri Nov 30). Relational databases.
- Notes: slides, html, Rmd
- Quiz 14: QNA
- Lab 14: html, Rmd
Week 15 (Mon Dec 3 - Fri Dec 7). Statistical prediction.
- Notes: slides, html, Rmd
- Quiz 15: QNA
- Take-home exam: html, Rmd

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Supplementary materials

Supplementary textbooks on R programming:

The R Cookbook, by Paul Teetor
The R Graphics Cookbook, by Winston Chang
The Art of R Programming: A Tour of Statistical Software Design, by Norman Matloff
Data Manipulation with R, by Phil Spector
Software for Data Analysis: Programming with R, by John Chambers (advanced book)
R for Data Science, by Hadley Wickham (based in tidyverse)

Online resources for R programming:

The official intro, "An Introduction to R", available online in html and pdf versions
simpleR, by John Verzani
R Fundamentals and Programming Techniques, by Thomas Lumley
Google's R Style Guide offers guidelines for naming, spacing, etc.
RStudio Cheat Sheets, quick reference guides for many common packages

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