Lecture Schedule

Date Topics Assignment Reading Computer
1/14 Introduction Hw1, due 1/23 Chapter 1 big8.sas big8.txt
SAS Intro
1/16 Matrix notation   Chapter 1 hw1.sas
1/19 No Class No Class No Class No Class
1/21 Intro to Multivariate methods   Chapter 1  
1/23 Intro to methods/ Sample correlations   Chap 1/ Chap 2 rhoci.sas anscombe1.sas
1/26 Sample correlations Hw2, for discussion on 2/9 Chapter 2 applicant.sas
1/28 Multivariate plots   Chapter 3 schools.txt mvn_plot_programs graphm1.sas
1/30 Multivariate plots/
Proc Insight
  Chapter 3  
2/2 Multivariate plots   Chapter 3 cities data,
mvn prob plots
2/4 Proc IML   Chapter 4 proc IML example
2/6 Eigenvalues and eigenvectors   Chapter 4 cereal plot example
visualizing data by eigenvalues
2/9 Eigenvalues and eigenvectors Hw2 IML program Chapter 4 BVN data code
visualizing data by eigenvalues - 2d
2/11 Principal component analysis   Chapter 5 PCA SAS program
2/13 Principal component analysis Exam 1 review Chapter 5 PCA on R program
2/16 No Class No Class No Class No Class
2/18 Principal component analysis Ex 1 rev program Chapter 5 Structural rel.vars.
2/20 Exam 1      
2/23 Exam 1 review/
PCA/ Factor analysis
  Chapters 5/6 FA models,
FA program 1
2/25 Factor analysis Hw3, due 3/12 Chapter 6 FA program 2
2/27 Factor analysis Project description due Chapter 6 partcorr Prin.Factor program Police FA example
3/1 Factor analysis   Chapter 6  
3/3 Factor analysis   Chapter 6/7 Police FA example2
3/5 Discriminant analysis   Chapter 7 Turkey example
3/8 Discriminant analysis   Chapter 7 Turkey2 Disc ex
3/10 Discriminant analysis   Chapter 7 Soil Disc example
3/12 Discriminant analysis Hw3 due Chapter 7 Wheat Disc example
3/15 - 3/19 Spring Break Spring Break Spring Break Spring Break
3/22 Hw3 review/ Logistic Regression   Chapter 8 Logistic reg program
Logistic reg results
3/24 Logistic regression   Chapter 8  
3/26 Logistic regression   Chapter 8 Polytomous log reg SAS Polytomous results
3/29 Review      
3/31 Exam 2      
4/2 Cluster analysis   Chapter 9 Cluster intro
Cluster example1
4/5 Cluster analysis Hw4, for discussion on  4/16 Chapter 9 Larger cluster ex.
4/7 Cluster analysis   Chapter 9 K-means clustering
4/9 Multi-dim. scaling   Chapter 9 Multi-dim. scaling
4/12 Inference for Sigma   Chapter 10  
4/14 Inference for Mu   Chapter 10 Hotelling's T2 ex 1
Hotelling's T2 ex 2
4/16 Hw4 discussion Hw4 discussion Chapter 10 Hotelling's T2 ex 3
4/19 Inference for Mu/ MANOVA   Chapters 10, 11  
4/21 Inference for Mu/ MANOVA   Chapters 10, 11 MANOVA ex 1
4/23 MANOVA Hw5, for discussion on  5/5 Chapter 11 SAS GLMM
4/26 MANOVA/ Canonical variates   Chapter 11 MANOVA ex 2
CANPLOT macro
EQUATE macro
Canplot program
4/28 Canonical variates/ Canonical disc. an.   Chap. 11/Chap. 7 Canonical var. ex./ canonical var. data
4/30 Canonical disc. an./ Canonical correlation   Chap. 7/Chap. 12 Can. corr. example/ Can. corr. data1/ Can. corr. data2
5/3 MANOVA topics   Chapter 11 MANOVA CRF
5/5 Hw5 discussion Hw5 discussion
beef data
Final exam review questions
   
5/7 Review Class project due    
Wednesday, May 12, 1-3   Final Exam