Nebraska Huskers! University of Nebraska-Omaha University of Nebraska-Lincoln University of Nebraska-Lincoln Department of Statistics Other useful websites that I have constructed: Oklahoma State STAT 4091 - This was a 1 credit hour course which introduced students to SAS.  The website is currently available at http://www.chrisbilder.com/stat4091.  All lectures notes are available on the schedule web page.  Please note that no textbooks were used for the course. Oklahoma State STAT 4043 - This was a 3 credit course on regression analysis.  For those of you without much matrix algebra experience, I recommend downloading the Chapter 5 lecture notes from the schedule web page (http://www.chrisbilder.com/stat4043/schedule.htm).  It gives a nice introduction to matrix algebra and introduces it in the context of simple linear regression.  The College and HS GPA example is first discussed on p.1.3-1.4 of the Chapter 1 lecture notes.   SAS Arizona State's SAS tips Listserv website - Archive of listserv posts and a web form for joining the list. Michael Friendly's website at York University  Online SAS 9 documentation at sas.com PROC CANCORR PROC CANDISC PROC CLUSTER PROC DISCRIM PROC FACTOR PROC G3D PROC GCHART PROC GCONTOUR PROC GLM PROC GPLOT Global statements used in GPLOT (and some other G PROCs) PROC IML Statements, Functions, and Subroutines  PROC LOGISTIC PROC MDS PROC PRINT PROC PRINCOMP PROC STEPDISC PROC TREE Online SAS 8 documentation at Oklahoma State University PROC CANCORR PROC CANDISC PROC CLUSTER PROC DISCRIM PROC FACTOR PROC G3D PROC GCHART PROC GCONTOUR PROC GLM PROC GPLOT Global statements used in GPLOT (and some other G PROCs) PROC IML Statements, Functions, and Subroutines  PROC LOGISTIC PROC MDS PROC PRINT PROC PRINCOMP PROC STEPDISC PROC TREE SAS/ASSIST SAS/INSIGHT SAS/STAT's Analyst Application SAS Technical support S-Plus Free version for students - limitations in data set size Carnegie Mellon's STATLIB S-Plus functions- A great source for S-Plus functions! Listserv website - The "digest" option is a very nice way to subscribe to the listserv.  E-mail posts to the listserv are sent in groups instead of individually to your e-mail address. R - Based on the S language and similar to S-Plus (but its free) Download Windows version Listserv website (see R-Help) and search web page of its archives Newsletters - See the Jan. 2001 newsletter for an introduction to R Packages written by users - Wow! A lot of useful tools in addition to the standard R statistical functions. SciViews R Console - The future of using R!  This is still in a beta version, but it makes R's GUI closer to that of S-Plus and provides an embedded program editor. R-WinEdt - Allows you to use R with a S-Plus script window equivalent type of editor AND it provides color coding for your code (like the SAS Enhanced Editor); read the ReadMe file for information on how to install it and WinEdt  Rweb - Web based implementation of R Xemacs and emacs speaks statistics (ESS) - These are a completely free editor and add-on that one can use instead of WinEdt and R-WinEdt. Other resources for R and S-Plus Venables, W. N. and Ripley, B. D. (2002), Modern Applied Statistics with S-Plus, Fourth Edition, New York: Springer. -  probably the most popular book on using S-Plus and R; click here to go to the author's web page. Krause, A. and Olson, M. (2002).  The Basics of S-Plus.  Third Edition, New York: Springer. Click here for an introductory class lecture on using S-Plus 6.0 (and a little on R).  I use this lecture on the first day of my OSU classes where S-Plus is used and students already had a regression class.   I gave a seminar on S-Plus 6.0 in October, 2001.  Click here to go to the website corresponding to the seminar. I gave a seminar on how to use S-Plus 3.3 in 1997.  This may be helpful to understand some of the basics of how to write code in S-Plus.  You can download the PowerPoint presentation itself at www.chrisbilder.com/chris/seminars.htm (see July 15, 1997 seminar at INEEL).   Other courses: Chris Malone's Multivariate methods course at Winona State University - R is used as the main statistical software package Data mining course at Penn State University Ggobi - software for multivariate data visualization; has a windows version which can interface with R (I have not tried it yet)