ADA2
Advanced Data Analysis II
Stat 428/528 [ 3 ] Advanced Data Analysis II
Description: A continuation of 427/527 that focuses on methods for analyzing multivariate data and categorical data. Topics include MANOVA, principal components, discriminant analysis, classification, factor analysis, analysis of contingency tables including log-linear models for multidimensional tables and logistic regression.
Prerequisite: Stat 427 (ADA1)
Semesters offered: Spring
Spring 2012
Lecture: Stat 428/528.001 (25445 or 25449), TR 14:00–15:15, Anthro 163 building 11 (old room: DSH 325)
Spring 2012 office hours: MSLC 312, Wed 2:00-2:50 PM and Fri 10:30-11:20 AM
email: “Erik B. Erhardt” <erike@stat.unm.edu>, please include “ADA2″ in subject line
Lecture notes and homework
I recommend double-side printing only the upcoming chapter the day before class because future chapters are subject to edits.
ADA2_notes.pdf includes all chapters in one document, but later chapters are subject to revision.
| Ch | Topic | Notes | Homework | HW due date |
| 01 | SAS | Ch 01 sas d1 d2 d3 | HW01 sol | 02/09 |
| 02 | Introduction to Multiple Linear Regression | Ch 02 sas d1 d2 | HW02 sol | 02/21 |
| 03 | A Taste of Model Selection for Multiple Linear Regression | Ch 03 sas d1 | HW03 sol dat | 03/06 |
| 04 | Experimental Design: One and Two Factor Designs | Ch 04 | ||
| 05 | Paired Experiments and Randomized Block Designs | Ch 05 sas d1 | HW05 sol dat | 03/27 |
| 06 | Discussion of Observational Studies | Ch 06 sas d1 | ||
| 07 | Analysis of Covariance: Comparing Regression Lines | Ch 07 sas d1 d2 d3 | HW07 sol dat | 04/05 |
| 08 | Polynomial Regression | Ch 08 sas | ||
| 09 | Response Models with Factors and Predictors | Ch 09 sas | HW09 sol | 04/12 |
| 10 | Model Selection for Multiple Regression | Ch 10 sas | ||
| 11 | Logistic Regression | Ch 11 sas d1 d2 | HW11 sol dat | 04/24 |
| 12 | An Introduction to Multivariate Methods | Ch 12 | ||
| 13 | Principal Components Analysis (PCA) | Ch 13 sas d1 | HW13 sol dat | 05/01 |
| 14 | Cluster Analysis | Ch 14 sas d1 | ||
| 15 | Multivariate Analysis of Variance (MANOVA) | Ch 15 sas d1 | ||
| 16 | Discriminant Analysis | Ch 16 sas d1 | ||
| 17 | Classification | Ch 17 sas | HW17 sol sas dat | Wed 05/09 3pm slid under my office door Math&Stat (SMLC 312) |
Homework will be due 1 week (or 2 classes, whichever is longer) after we complete each chapter.
Final grade is the proportion correct of HW points.
SAS
Where is SAS on UNM campus? Search for “SAS” at it.unm.edu/pods/software.html
SAS learning Module
The UCLA ATS is one of my favorite resources for annotated stat examples. Graphics
UNM IT quick SAS on unix help
MobaXterm for MS Windows
SAS for Windows and general links
- University of North Texas: Using SAS for Windows
- Michael Friendly: SAS Resources and here
- Indiana University: Getting Started with SAS for Windows
- UCLA’s SAS Class Notes
- Introduction to SAS by Phil Spector (UNIX)
- UCLA’s SAS documentation, with useful SAS links
- proc gplot
Citing lecture notes, example: Bedrick EJ, Schrader RM, and Erhardt EB. (2012) Lecture notes for Advanced Data Analysis 2. Retrieved Mar 1, 2012, from statacumen.com/teach/ADA2/ADA2_notes.pdf, 136–144.