Regression analysis - Fall 2007

To learn more about R please consult the following online tutorials:

• An introduction to R (by W. N. Venables, D. M. Smithand and the R Development Core Team) (105 pages pdf file)
• An introduction to R (by Phil Spector) (10 pages pdf file)
• Introduction to Using R (by Duncan Murdoch) (webpage)
• Tutorial to LaTeX2e (by Pil Spector) (42 pages slides)

• Lab 1: Getting Started Due TBA
• Data for Lab 1: The animal data
• Lab 2: Linear models 1 Due TBA
• Data for Lab 2: The frost data
• Lab 3: Ordinary least squares II - Model selection and prediction Due Nov 1
• Data for Lab 3: The prostate cancer data
• Getting started on Lab 3: Some R code to get started
• Lab 3, part 2: Ordinary least squares II - Cross-validation, model averaging, and bootstrap Due Nov 29
• Data for Lab 3, part 2: The prostate cancer test data
• Final: final56307.pdf Due Dec 17
• Data for the final: PCB in trouts

Back to : Stat563

9/6/07