Statistical Computing Software and Resources

R

• Introductory Material:
  • New York Times article from 2009 extolling the virtues of R.
  • Brief R Tutorial.
  • Venables's Intro to R manual (2008).
  • Douglas Bates's Intro to R slides (2001).
  • R Quick Reference Card.
  • R Colors Reference Chart.
• Books & Manuals:
  • Introductory Statistics with R, by Peter Dalgaard (Springer), 2002.
  • R Graphics, by Paul Murrell (Chapman & Hall/CRC), 2005.
  • The R Book, by Michael J. Crawley (Wiley), 2007.
  • Julian Faraway's "Practical Regression and Anova using R" booklet. This is a draft version of what has become: Linear Models with R, by Julian Faraway (Chapman & Hall/CRC), 2004.
  • Laura Thompson's R (and S+) manual for categorical data analysis.
• An R Overview of Some Major Topics in Statistics.
• R Basics and Linear Models & GLMs.
• Time Series Analysis:
  • A detailed R overview of all of time series.
  • R News article that describes the basic details of the main time series packages (2002).
  • Package itsmr provides a subset of the functionality found in the Windows-based program ITSM from the textbook "Introduction to Time Series and Forecasting", 2002, by Peter J. Brockwell and Richard A. Davis.
  • Diethelm Wurtz's slides describing the Rmetrics packages for finance and econometrics (2008).
  • JSS 2008 paper that describes package vars for vector autoregressive (VAR), structural VAR, and vector error correction (VECM) modeling.
  • Basic time series plotting examples.
  • Smoothing examples.
• Spatial Statistics:
  • A detailed R overview of all of spatial statistics.
  • A list of major packages for spatial stats (2010).
  • R News article that describes package sp which provides classes and methods for spatial data; see pages 9-13 (2005).
  • Website of geoR, a package for geostatistical data analysis.
• Code Snipets for Applied Statistics (mostly STAT 5302-5303):
  • Fancy pairs plot: scatterplots on lower diagonal, correlations on upper (with font size proportional to magnitude).
  • Sampling distributions and Central Limit Theorem.
  • Comparing two populations via two sample t-tests.
  • One way and two way ANOVA.
  • ANCOVA with the Glue data and the Golf data.
  • Linear Regression: Simple (Computer data) and Mutliple (Peruvian Indian data).
  • Poisson regression with the Horseshoe Crab data.
  • Mixed models, nesting, split-plots, repeated measures.

MINITAB

• The Minitab homepage.
• Recommended book: MINITAB Handbook, by Ryan, Joiner, and Cryer, Duxbury-Thompson-Brooks/Cole, 2005.

SPSS

• The SPSS homepage.
• Recommended book: Doing Data Analysis with SPSS, by Carver & Nash, Duxbury-Thompson-Brooks/Cole, 2005.
• Mixed models in SPSS slides.

SAS

• Guide for importing excel files into SAS.
• Recommended introductory book: The Little SAS Book, A Primer, Second Edition by Delwiche and Slaughter, SAS Institute Inc. 1998.
• Many free resources are available at the SAS homepage. In addition, SAS version 8 has a built in SAS Tutorial - Getting Started with SAS (R) Software that can be accessed from the Help > Getting Started with SAS Software items on the Menu Bar.
• Detailed procedure help manual with examples: SAS/STAT User's Guide.
• Comparison of R vs. SAS for mixed models.
• Repeated measures with Proc Mixed.

General

• Alan Agresti's categorical data analysis resources website.
• R for SAS and SPSS users (pdf manual).