Stat 423: Applied Regression and Analysis of Variance
Winter quarter 2007

Relevant links

• Links related to the text book:
  • Errata, reviews and datasets
  • Documentation for the R-package 'car' which contains the data sets used in the book
• Practical Regression and Anova using R, by Julian J. Faraway
• Links related to the statistical software R:
  • The Comprehensive R Archive Network (CRAN) (to download R)
  • An Introduction to R
  • R for Windows FAQ
  • R for Mac OS FAQ
  • The R Primer by Chris Green
  • R reference cards by Jonathan Baron and Tom Short
• Computing/study resources on campus:
  • MSCC computer lab, to use R outside of the Wednesday lab session
  • Statistics Tutor & Study Center, a nice place to study by yourself or with friends, and to get free help from statistics graduate students
• Places to learn about mathematical/statistical concepts:
  • Wikipedia, a free encyclopedia
  • Mathworld, an extensive mathematics resource
  • Rice virtual lab in statistics, containing an online statistics book, simulations, demonstrations and case studies
• Seminar series that may be of interest:
  • Statistics seminar series
  • Biostatistics seminar series
  • Center for Statistics and the Social Sciences seminar series
  • Undergraduate Mathematical Sciences Seminar
• Sites with math/stat jobs:
  • International jobs
• Data repositories:
  • StatLib datasets archive
  • Statistical Science Web, data sets
  • Data And Story Libarary (DASL)
  • Statistical datasets, University of Massachusets, Amherst
  • Sports data page
  • EM-DAT: The International Disaster Database
  • National Archive of Criminal Justice Data
  • NCDC Online Climate Data
  • Bureau of Labor Statistics
  • CIRI Human Rights Data
  • Washington State Department of Transportation - maps and data
• Guidelines for writing and presenting
  • Some guidelines for effective technical writing
  • Some guidelines for preparing effective presentations