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  Kmeans clustering  
4/9  Multidim. scaling  Chapter 9  Multidim. 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, 13  Final Exam  