General Information :

• Syllabus (2009).
• Course logThis contains a record of what we cover in lecture, homework, etc. It's also a running plan for the next week or so (based on last time I taught the course).

• 3/9/2009:
  • My Office hours over the next week: Mon 11-12pm, Wed 1-3pm
  • My e-mail is still not-stable.
• 2/11/2009: ALTAS is a statistics and GIS OPEN computer lab in 202 Lincoln Hall. Below are links to more information and services that they offer.
  • Their drop-in consulting hours are from 10 - 4 Monday through Wednesday, 11 - 4 Thursday, and 11 - 2 on Friday. .
  • SAS and other services offered by ATLAS computing lab.
  • The data service office hours in the library will be on Wednesday from 1:30-4:30. More details about this service can be found here.
  • If you have any questions about ATLAS's services or would like to make an appointment, please feel free to contact them at atlas-consult@illinois.edu
• 2/9/2009:
  • Homework #3 is available (due Wed Feb 18)
  • Answer key for homework #1 will be posted later today or tomorrow (after all have been turned in).
  • Office hours this week:
    • Zhushan: Mon 12-1
    • Carolyn: Wed 1-3pm.
• 2/6/2009: Known errors removed from lectures notes on sample geometry, linear combinations, and the multivariate normal distribution.
• 2/2/2009:
  • Office hours this week:
    • Monday 12-1 rm 15/17 Education; Zhushan "Mandy" Li
    • Tuesday 1-2 rm 431 Psychology; Carolyn
    • Wenesday 1-3 rm 236C Education; Carolyn
  • Homework 2 is posted
• 1/7/2009: I will hold office hours on Wednesdays, rm 236G Education Building

• Introduction:
  • Lecture notes. (linke fixed 1/21/2009)
  • SAS example: some graphics.
  • Using SAS assist for graphics.
  • Using SAS insight. (interactive data analysis)


• Linear Algebra:
  • Lecture notes.(still has some errors).
  • Chapter by Larry Hubert..
  • Link to online matrix reference mannual by Mike Brookes.
  • Link to Online Matrix Cookbook..
  • MATLAB presentation by Larry Hubert..
  • SAS information and example:
    • SAS PROC/IML example. IML is short for "interactive matrix language".
    • SAS IML documentation in pdf format. This is also available online when you're running SAS (in HTML format).
  • R example
    • R script from lecture notes.
    • scores_data.txt. This is what the follow R code will look for.
    • basic_statistics_R.txt. Reading in data and computes sample statistics. This also shows how to write functions and use them.


• Optional: Introduction to SAS to be held in the computer lab. We will go over the first two items.
  • When: TBA
  • Introduction to SAS notes..
  • hsb-data.sas.
  • SAS PROC/IML example. IML is short for "interactive matrix language". We went over part of this in lecture.
  • Using SAS assist for graphics.
  • Using SAS insight. (interactive data analysis)
  
  
• Geometry of the Sample (up-dated 2/6/09)
  • Lecture notes.


• Linear Combinations (up-dated 2/6/09)
  • Lecture notes .


• Multivariate Normal Distribution (up-dated 2/6/09)
  • Lecture Notes..
  • Bi-variate normal distribution demonstration. An interactive MATLAB program written by Peter K. Dunn that demonstrates the effect of changing mu, Sigma and rho.
  • R Script that graphs Bi-variate normal distribution. This is from http://www.stat.ucl.ac.be/ISpersonnel/lecoutre/stats/fichiers/_gallery.pdf, where you can find lots of other R scripts for graphics.
  • Sample output from R script.


• Inferences About a Mean Vector
  • Lecture Notes.
  • SAS/IML: WAIS example.
  • SAS/IML: 4 Psychological tests example. (including how to read data into SAS/IML, and showing the relationship between T^2 and Wilk's lambda).


• Comparisons of Two Means
  • Lecture Notes.
  • SAS: Exassy example in the lecture notes..
  • SAS: Airconditioning example.
  • SAS: Calculator example.(3/11/2008) Correction made to calculator sas code (i.e., module for computing Tsq for hypothses of form H_o: mu = mu_o where the mu's are vectors. There were TWO lines that needed to be corrected. The correct lines are
    dfden = n-p;
    F =(n-p)/((n-1)*p)*Ts;
    Note that the error is still in the lecture notes.
  • SAS/IML model for 2 independent T2 test.
  
  
  
• More Linear Algebra: eigensystems, SVD & maximization
  • Lecture Notes.
  • Overview/Summary Handout.
  • SAS/IML: Two independent sample T test.
  • SAS: IML and Biplot.
  • For additional resources, see linear algebra notes above.
  
  
  
• Principal Components Analysis
  • Lecture Notes.
  • SAS: European Jobs.
  • SAS: Swiss Bank Notes
  • Picture of Swiss Bank Note (variables labeled aren't quite what we're using).
  • SAS: Men's Track Data
  • SAS: Scree Plots for all examples.
  
  
  
• One-Way MANOVA
  • Lecture Notes.
  • SAS: Shorthand example.. This uses PROC GLM and in PROC/IML rank g design matrix.
  • SAS: Cameron-Pauling cancer data example. This uses PROC GLM, and in IML, rank (g+1) design matrix, traditional method. Computing various contrasts are illustrated here.
  
  
  
• Extensions of one-way MANOVA
  • Lecture Notes.
  • SAS: WAIS and Eldery. (profile analysis example).
  • SAS: shorthand example revisited. (2-way MANOVA).
  • SAS: unbalanced design example.
  
  
  
• Discriminant Analysis
  • Lecture Notes.
  • SAS:WAIS example. (2 group analysis).
  • SAS:Shorthand example: (6 groups) SAS PROCS GLM, IML, CANDISC, and DISCRIM.
  
  
  
• Canonical Correlation Analysis
  • Lecture Notes.
  • Link to Heck (1960). (Will only work if have uiuc account or jstor).
  • Link to Pillai & Bantegui (1959). (Will only work if have uiuc account or jstor).
  • SAS: WAIS example. (how to input a correlation matrix as a data set, PROC CANCOR).
  
  
  
• Factor Analysis
  • Lecture Notes. or an alternative format (but otherwise equivalent version)
  • SAS MACRO that does item analysis. This macro runs PROC CORR and uses PROC IML to test hypotheses on Cronbach's alpha and provides (1-alpha)x100% confidence intervals for alpha.
  • SAS Macro that does Item Analysis, Cronbach alpha CI & tests, Factor Analysis. (this macro uses PROCs CORR, IML and Factor).
  • SAS for example presented in class & more.


Homework & Exams:

• Homework writing guidelines..


• Homework #1
  • Homework assignment 1. Due Wed Feb 4
  • Data for Problem 1.4 from the text (including sas program that creates a sas data set).
  • SAS code for obtaining answers.
  • Answer key.
• Homework #2
  • Homework assignment 2. Due Wed Feb 11
  • SAS/IML code that gives answers to all problems.
  • Answer key.
• Homework #3
  • Homework assignment 3 Due Wed Feb 18
  • SAS/IML code that gives answers most of the problems.
  • Answer key.
• Homework #4
  • Homework assignment 4 Due Wed Feb 25
  • SAS/IML code
  • Answer key
• Homework #5
  • Homework assignment 5 (Due Wed March 4)
  • Broncial cancer data.
  • Answer key.
  • 4.26 from J&W.
  • 5.1 from J&W.
  • 5.2 from J&W.
  • Bronchical cancer problem.
• Homework #6
  • Homework assignment 6 (Due Wed March 11 --- no late assignments)
  • hsb-data.sas (High School & Beyond Data).
  • About the High School & Beyond Data Set: A description of the variables and coding.
  • Answer Key.
  • SAS code.
• Mid-term Exam
  • Mid-term exam. (Due Wed March 18, 4:00pm)
    Please attach computer code as an appendix to your exam.
  • Data for problems 3 and 4.
  • Data for problem 5.
• Homework #7
  • Homework assignment 7 (Due Wed April 8)
  • Women's track data.
  • Answer Key.
  • Women's track data: SAS for solutions.
• Homework #8
  • Homework assignment 8. (due Wed April 15, 2009)
  • Fish data.
  • Answer Key.
  • SAS: Fish data MANOVA.
  • SAS: Johnson & Wichern 6.8.
• Homwork #9
  • Homework assignment 9 (due Wed April 22).
  • Fish data.
  • Answer Key.
  • SAS: Profile analysis (problem 2).
  • SAS: Problem 3.
• Homework #10 (do no need to turn in)
  • Homework assignment 10. (Bring to class for factor analysis lecture)
  • Answers given in lecture.


• Final Exam
  • Final Exam (Due 5pm, Monday May 11, 2009)
  • Data for problem 1.
  • Data for problem 2.
  • Data for problem 3.


Handy Programs and Links:
• CIforP.f: A FORTRAN program that computes large sample confidence intervals for a proportion. For PC computers, a execultable version of CIforP (i.e., already complied)
• pvalue.f: A FORTRAN program that computes p-values and (bonferroni) critical values for the standard normal, chi-squared, t, and F distributions (and for correlations). For users of PC type computers, pvalue.exe is an executable (i.e. already compiled) program.
• Link to R homepage.