stat405

Statistical computing and graphics, Fall 2009.

This course was last taught in Fall 2009, and in Fall 2010. See the results of the final poster presentation below.

	"Electric Cars: A Statistical Case" by Himanshu Makwana, Caroline Nganga, Debra Pyle, Ruo Yu.		"Statistical Exploration of Facebook Friends Dataset and Comparison with Rice University Student Demographics", by Delma Flores, David Ouyang, Chris Scott.
	"An Exploration of Trends in Houston Crime", by Ollie McDonald Christine Peterson, Lu Wang, Casper Woroszylo.		"Which countries win the most medals in the Winter Olympics?", Justin Silver, Emilian Vankov, Jingjing Yang
	"Exploring US Retail Sales: Food, Auto, Clothing and Electronics 1992 - 2008", Chengyong Yin, Meng Sun, Zhongyu Zhang, Yanli Chen		"Speed Dating and Mate Selection: What Does the Opposite Sex Think?", by Rakesh Amaram, Luis Arregoces, Yen-Yin Chen, and Lisa Stryjewski
	"How Americans Spent Their Time in 2008", by Chandra N. Jack, Elizabeth Jackson, Amanda Kupchella

Hadley Wickham. hadley@rice.edu
Class: 3:30-4:50pm Monday & Wednesday. Ryon 102.
TA: Garrett Grolemund.

Course syllabus

Lectures

Dec 2. Poster presentations.
Nov 30. Development (watch, print)
Nov 25. Personal study time.
Nov 23. Debugging (watch, print)
Nov 18. Regular expressions (watch, print)
Data: email.rdata
Regular expression tools: See what a regular expression will match generate a text description of what a regular expression matches, Build a regular expression from an input string, Regular expression reference.
Nov 16. How to prepare and present a poster for Stat405, presented by Tracy Volz (download)
Posters from the data expo
Nov 11. String processing (watch, print)
Data: email.rdata
Nov 9. Polishing your plots (watch, print)
Theme elements
Nov 4. Polishing your plots (watch, print)
Data: minard-troops.csv, minard-cities.csv, delays-feb-13-2007.csv
Nov 2. Critique & theory (watch, print)
Oct 28. Quantitative models (watch, print)
Data: tx-house-sales.csv
Oct 26. Introduction to git continued (watch, print)
Oct 26. Introduction to git continued (watch, print)
Oct 23. Special guest lecture by Garrett Grolemund: Introduction to git (watch, print)
Extra files: git-project.r, git-template.tex
Oct 21. Visualising time and space (watch, print)
Data: interesting-names.csv
Oct 14. ddply case study continued (watch, print)
Oct 7. ddply case study (watch, print)
Oct 5. Introduction to ddply (watch, print)
Data: baby-names.csv
Team member evaluation form
Sep 30. Data structures (watch, print)
Sep 28. More simulation (watch, print)
Sep 23. Simulation (watch, print)
Data: payoffs.rdata
Sep 21. Functions and for loops (watch, print)
Sep 16. Problem solving (watch, print)
Sep 14. Data (watch, print)
Data sets: slots.csv, players.csv, batting.csv; slots.txt
Sep 9. Graphical tips and tricks (watch, print)
Sep 7. Labour day
Sep 2. Statistical reports (watch, print)
Aug 31. Data cleaning. (watch, print)
Aug 26. Graphics for large data. (watch, print)
Aug 24. Introduction to linux, R and graphics (watch, print)

Asssesment

Drills

Resources

Set up the command line (linux and mac).
Running latex: linux, mac, windows.
Sample latex report (zip).
R coding style