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 |
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2/4 | Proc IML | Chapter 4 | proc IML example | |
2/6 | Eigenvalues and eigenvectors | Chapter 4 | cereal plot example visualizing data by eigenvalues |
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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 |
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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 |
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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 |
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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 |
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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 |
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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 |
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5/7 | Review | Class project due | ||
Wednesday, May 12, 1-3 | Final Exam | |||