## Statistical Computing Software and Resources

### R

R is free software available for download from the R homepage (click on "CRAN" on the left margin of the page). Download the Precompiled Binary Distribution for your operating system from a mirror near you. The online R documentation, via your default web browser, is obtained by typing "help.start()" on the window running 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 (STAT 5302-5303):

### 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).

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