stat 480

Applied statistical computing

Spring 2013

Tuesday & Thursday. 9:30–10:50. Snedecor 1105

Heike Hofmann, hofmann@iastate.edu.
Office hours: T/TR after class, Snedecor 2413

Lendie Follett, lfollett@iastate.edu.
Office hour: W 12-1, Snedecor 2406

Syllabus

Course syllabus describing objectives, software used, modules and assessment.

Cheat sheets

Lectures and timetable

Date Lecture and Resources Homework
Data collection and organisation with Excel
15 Jan Introduction and excel basics
17 Jan Data collection Week 1, due 24 Jan.
22 Jan Organizing Data
24 Jan Summarizing and exploring data Week 2, due 31 Jan.
29 Jan Numeric and Visual Data Summaries
31 Jan Graphics in Excel Project I, due 5 Feb/19 Feb.
Introduction to R through graphics
5 Feb Introduction to R
7 Feb Draft project review, Project Work Week 4, due 14 Feb.
12 Feb Graphics in R
14 Feb Subsetting Data Week 5, due 26 Feb.
19 Feb Factors in R
21 Feb Reshaping Data: Melt and Cast
Programming in R
26 Feb Loops, Conditions & Functions Project 2, due Mar 5/Apr 2.
28 Feb Loops & Functions Week 7, due 7 Mar
5 Mar Functions, data aggregation with the plyr package
7 Mar Practicising ddply Week 8, due Mar 14.
Advanced Graphics in R
12 Mar Maps in R, Time Series
14 Mar Time series, project work No homework!
19/21 Mar Spring break
26 Mar Interactive Graphics with ggobi
28 Mar Clustering in R and ggobi Week 11, due 4 Apr
Simulation
2 Apr Simulation Project 3, due 9 Apr/23 Apr/10 May.
4 Apr More on Simulation Week 12, due 11 Apr
9 Apr Buffon's Needle: Simulating Pi
SAS, the industry standard
11 Apr SAS Enterprise Guide
16 Apr First Programming Steps in SAS abstract submission
Dealing with very large data in R
18 Apr Databases and MySQL
23 Apr RMySQL and Joins Project discussion/practice
Project presentations
25 Apr Project presentations
Feedback Form
30 Apr
(dead week)
Project presentations
2 May
(dead week)
Project presentations
9 May
(finals week) Thurs 9:45-11:45 a.m.
Project presentations

Useful links

Other stat computing courses like this one: