Statistics 462/862 - Fall 2014

Instructor: Aaron Springford
Office: Jeff 105
Email: aaron.springford@queensu.ca

Moodle page:  https://moodle.queensu.ca/2014-15/course/view.php?id=2482

Syllabus

Course Outline

Textbooks at the bookstore

Textbooks

Information about textbook rentals

Labs

Lab	Solution
1. Introduction to R	Lab 1 solution
2. Introduction to SAS	Lab 2 solution
3. Styles of data analysis	Lab 3 solution
4. Statistical models	Lab 4 solution
5. Inference concepts	Lab 5 solution
6. Linear regression	Lab 6 solution
7. Extending the linear model	Lab 7 solution
8. Regression trees	Lab 8 solution
9. Multivariate analysis	Lab 9 solution
10. Mixed effects	Lab 10 solution
11. SAS macros

Project

• Note that students in 862 will not be included when calculating the ranks for 462 students

Course project description

Data 1

Data 2

Data 3 - Training set

Data 3 - Test set

Submission of numerical answers to part 1

Submission of numerical answers to part 3

Slides

1. Introduction to R
2. Introduction to SAS
3. Styles of data analysis
4. Statistical models
• Supplement: R script demonstrating random draws from a distribution
• Supplement: bootstrapping
5. Inference concepts
6. Regression
• Box-Cox Example
7. Extending the linear model
• GLM Examples
8. Trees and forests
9. Multivariate
10. Multilevel models
11. Intro to SAS macros

Quizzes

1. Quiz #1 group submission
2. Quiz #2 group submission
3. Quiz #3 group submission
4. Quiz #4 group submission
5. Quiz #5 group submission
6. Quiz #6 group submission
7. Quiz #7 group submission
8. Quiz #8 group submission
9. Quiz #9 group submission
10. Quiz #10 group submission
11. Quiz #11 group submission
12. Quiz #12 group submission
    

Quiz group solutions

1. Quiz #1
2. Quiz #2
3. Quiz #3
4. Quiz #4
5. Quiz #5
6. Quiz #6 -- Aaron
7. Quiz #7 -- Aaron
8. Quiz #8 -- Aaron

Quiz materials

Insects data

SAS Insects data

cpus.sas

cpus.txt

Orange.sas

Orange.txt

quiz9-script.R

quiz10-script.R

ebola.RData

ebola.csv

Announcements

• Additional office hours on Tuesday, November 25 from 11:30-1:30 in Jeff 105
• These hours are in addition to my regular hours Mondays at 11:30-12:30
• I'm also available Monday/Tuesday by appointment, or by email.
• Quiz marks to this point are on Moodle.
• Last year's exam has been posted to Moodle.
• See the updated syllabus (which now includes the Thanksgiving holiday!)
  
• If you are an 862 student, see me or message me about the project alternative by Sept 24, 2014
  
• Proposal stage due date is Monday October 6, 2014
• Draft stage due date is Monday November 3, 2014
• Draft feedback due date is Monday November 10, 2014
• Final project due date is Wednesday November 26, 2014
• R reference card: http://cran.r-project.org/doc/contrib/Short-refcard.pdf
• SAS reference: http://support.sas.com/documentation/cdl/en/allprodsproc/63875/HTML/default/viewer.htm