S-Lab for Engineers
Instructional Labs on Graphics and Data Analysis using S

• Starting S-Lab
• A Brief Introduction to S
• Lab 1: Getting Used to S: Describing Data
  Viewing, Manipulating, Plotting Data
  Reading in Your Own Data
• Lab 2: Describing and Comparing Two or More Data Sets
  Experimental Data
  Boxplots
  A Factorial Design
  Observational Data
• Lab 3: Comparing Means in Factorial Studies
  Factorial Designs
  The Effect of a Factor on the Response
  The Principles of ANOVA
• Lab 4: Estimating a Linear Relationship
  A Statistical Model for a Linear Relationship
  Least Squares Estimates
  The S Function lm
  Scrutinizing the Residuals
• Lab 5: Curve Fitting in Factorial Studies
  Modeling FTP Times on the Internet
  An Experiment with Capacitors
• Lab 6: Densities of Random Variables
  Off the Shelf Distributions in S
  Matching a Density to Data
  More About Making Histograms
• Lab 7: Building Confidence in Confidence Intervals
  Populations Versus Samples
  Large Sample Confidence Intervals
  Simulating Data Sets
  Evaluating the Coverage of Confidence Intervals
• Appendix A: Functions and Data Sets
  Housekeeping and IO
  Data Manipulation
  Arithmetic
  Statistics
  Graphics
  Generating Data
  S-Lab Data Sets
  Demonstrations
• Appendix B:Hints and Shortcuts
• Appendix C: Alphabetized List of Most Important Functions in S-Lab.

Douglas Nychka and Dennis D. Boos
Department of Statistics
North Carolina State University
Raleigh, NC 27695-8203
Email: boos@stat.ncsu.edu
© D. Nychka and D. Boos, 1993.

August 1999