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Statistical Computing and Graphics

• Computer programming prerequisites
• Syllabus, course notes, and book by Alzola and Harrell.
• Honor code information
• Concepts to master
• Manuals from Insightful Corp.
• Free books for learning the R language, which is similar to S-Plus
• R/S-Plus function finder
• A compendium of S programming examples compiled by Paul Johnson
• Scripts and Output used in Class and Labs
• Class discussion board
• Anonymous feedback to instructor
• Homework and Project Assignments
• Students' good and bad graphics examples
• rsubmit macro for submitting code from the NoteTab editor to R under Windows, and instructions for installing and using the macro in =NoteTab=
• Corrected version of exenvirn.sd2 SAS dataset for importing, for Assignment 3.
• Lab Assignments
• DOS batch file for running S-Plus 6 in batch mode, for creating output .txt files in which the placement of comments is preserved. The file assumes S-Plus is located at c:\Program Files\splus61 and that your project area is in c:\temp (you should edit this to point to your real project area).
• Small Excel file for learning how to import data here.
• S-Plus script for creating data for Table 5 of Galobardes et al. for final project
• Corrected data and data dictionaries from Rosner and some associated S-Plus data frames (dumpdata.ssd file). Save to a temporary file, invoke S-Plus from your project area, and issue a command such as data.restore('full dumpdata file name'), i.e., data.restore('directory/dumpdata.sdd'). If you saved the file under the sdd suffix you can use the File .. Import .. From File .. Files of Type S-Plus Transport Files menus.
• Datasets useful in learning biostatistical modeling techniques (UVa) * For an S-Plus script demonstrating how to draw random numbers, the central limit theorem, and binomial probabilities, click here.
• Tricks for using the S-Plus 4.5 Graphical User Interface to Produce Graphics. Pam Goodman, MathSoft DAPD, 9 October 1998; 19 pages, color, PDF
• Information about slide rules from HP, Davie and Kessler, and Peter Fox (includes some good material about logarithms).

• Examples of color image plots for 3 variables
  1. Relationship between diastolic and systolic blood pressure and the risk of disabling stroke from thrombolytic therapy for myocardial infarction
  2. Relationship between coma score and daily urine output on median survival time for ICU patients with sepsis
  3. Examples of "live" Java graphlets produced by S-Plus 6.0 on Linux/UNIX:
  4. Fuel analysis
  5. Futures analysis
  6. Example with multiple graph pages and actions based on clicking selected graph regions
  7. An interactive map

WWW Statistical Computing Applications using R

• A rather amazing implementation of time series analysis based on R and Javascript. This web server creates separate browser windows for data entry, graphics, and procedure selection. These windows are dynamic. For example, after entering data there is no submit button to submit the data. The procedure selection window is used to start the analysis, which uses the current values in the data window.
• The Rweb system (mirrored here).
• An R web server for robust rank-based linear models
• Rcgi, a "lighter alternative to Rweb with more 'reasonable' dependencies"
• Doug Bates' presentation Using Open Source Software to Teach Mathematical Statistics, with examples of distribution fitting using maximum likelihood, profile likelihood plotting, and other statistical calculations
• Notes from John Nash's Workshop on Open Source and Proprietary Statistical Software
• Other CGI examples: here, here, and here.
• The CGIwithR package

Short Course

• S for Statistical Data Analysis and Graphics - Detailed description of a three-day short course by FE Harrell. To be offered May 28-30 2003 (Philadelphia) for Insightful Corp. Click here for laboratory exercises for this course. Click here for scripts developed in class during the May 2000 course or here for the August 2000 course. Click here for scripts used in the May 30 - June 1 2001 3-day Insightful short course in Washington D.C. Click here for the June 2002 course.
• Statistical Graphics for Exploring Data, Presenting Information, and Understanding Statistical Models. S-Plus International User Conference, Philadelphia, 16Oct01. Click here for the S-Plus script developed in this course.
• Click here for script developed in the one-day version of the course given at the S-Plus Users Conference, Seattle, October 2000.

Resources for Learning Computer Languages

• Tcl Tutor, a self-extracting .exe file for Windows for learning the Tcl language

Utilities for Converting Graphics Files to Other Formats

• The =pstoedit= program for Windows/NT, Linux, and UNIX. This program can convert postscript graphics files to a variety of other formats for editing and other purposes. The Windows version includes a Microsoft Office import plug-in for importing postscript files into documents.
• ImageMagick, an impressive program for converting between 68 graphics file formats.

• Web site for Kraus and Olson's book
• Jeff Banfield's Graphical Data Analysis course (Montana State U.)
• Dalhousie University's Software Tutorials, including one on S-Plus
• Michael Friendly's Gallery of Data Visualization - The Best and Worst of Statistical Graphics
• Gary Klass' How to Construct Bad Charts and Graphs
• Carnegie Mellon University SAGE system for automated graphics and explanation, including a rendition of Napoleon's march
• A famous example of bad design: The Palm Beach County Florida November 2000 Ballot
• Graphics for Clinical Trials by Jonathan Levine, Senior Scientist, Lincoln Technologies, Inc. (pdf, 420K, produced using CrossGraphs from Belmont Research or S-Plus)
• Sample graphical and tabular clinical trial report from the Statistical Data Analysis Center, Dept. of Biostatistics and Medical Informatics, U. Wisconsin-Madison.
• Bill Cleveland's Web Site, including S language scripts used in producing his book Visualizing Data
• Statistical Computing & Graphics Newsletter
• Abstracts and papers from the 2nd International Workshop on Distributed Statistical Computing, Vienna
• R-based site for rank-based linear models by Abebe, Crimin, McKean, Haas, Vidmar (see Drug Information Journal 35:947-971, 2001).
• Statistical computing software list (including a list of free packages) from Statistical Science Web