stat 480

Applied statistical computing

Spring 2015

Tuesday & Thursday. 9:30–10:50. Gilman 2272

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

Rodrigo Plazola-Ortiz, rodrigo@iastate.edu.
Office hour: W 12-1, Snedecor 3404

Syllabus

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

Cheat sheets

Lectures and timetable

Introduction to R--> Feedback Form
Date Lecture and Resources Homework
Data collection and organisation with Excel
13 Jan Introduction and excel basics
15 Jan Data collection Week 1, due 22 Jan.
20 Jan Organizing Data
22 Jan Summarizing and exploring data Week 2, due (now) Feb 3.
27 Jan Numeric and Visual Data Summaries
29 Jan Graphics in Excel Project I, due 5 Feb/19 Feb.
Introduction to R through graphics
5 Feb Introduction to R Week 4, due 17 Feb.
10 Feb Draft project review, Graphics in R
12 Feb Subsetting Data
17 Feb Factors in R Week 5, due 26 Feb.
19 Feb Factors in R Project 2, due Mar 3/Mar 12.
24 Feb Factors in R, Intro to data reshaping
Programming in R
26 Feb dplyr package Week 6, due 5 Mar
3 Mar The dplyr package, intro to functions
5 Mar Functions in R Week 7, due 12 Mar
Advanced Graphics in R
10 Mar Maps in R, Time Series No homework!
12 Mar Time series
17/19 Mar Spring break
Simulation
24 Mar Simulation
26 Mar More on Simulation Week 8, due Apr 2
31 Mar Midterm Exam Project 3, due 7 Apr/21 Apr/7 May
Interactive Graphics
2 Apr Interactive Graphics with iplots Week 10, due Apr 9
7 Apr Clustering in R and ggobi
Dealing with very large data in R
9 Apr Databases in R: dplyr and MySQL abstract submission, old presentation schedule and abstracts (Spring 2013)
14 Apr SQL and Joins Week 13, due Apr 21
SAS, the industry standard
16 Apr SAS Enterprise Guide
21 Apr First Programming Steps in SAS
23 Apr Polishing your presentation
Project presentations
28 Apr
(dead week)
Project presentations
30 Apr
(dead week)
Project presentations
5 May
(finals week) Wed 9:45-11:45 a.m.
Project presentations

Useful links

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