Good General Statistical References Online:

• Statsoft’s Electronic Textbook This site has good explanations of basic and not-so-basic statistical techniques and methodologies.

• Statistical Science Web Links to everything Statistics
• HyperStat Online Textbook Another encyclopedic statistics web page.
• American Statistical Association – Professional resources including jobs, meetings, salary information, journals, software, etc. In particular, you might be interested in the Ethical Guidelines for Statistical Practice.
• Statnotes: An Online Textbook by G. David Garson. This is an extensive “How-To” manual for several methodologies common in social statistics- Multivariate & Regression methods included.
• Introductory Statistics Concepts, Models and Applications David Stockburger Good site for discussion & example of introductory methods.

Data Mining and Multivariate EDA Resources

• http://www.kdnuggets.com/ Everything Data Mining, a clearing house.
• Download data mining booklet (PDF) A good overview of several data mining methods from Two Crows.
• Statnotes: An Online Textbook by G. David Garson. This is an extensive “How-To” manual for several methodologies common in social statistics- Multivariate & Regression methods included.
• Ordination Methods for Ecologists – Information on several multivariate methodologies: PCA, Correspondence Analysis, Canonical Correspondence Analysis, etc. Geared towards ecologists.
• Principle Components Analysis
• http://www.aaai.org/AITopics/html/trees.html - Some information on CART/Tree models.
• Salford Systems Vendor of CART, MARS, and TreeNet software
• An Introduction to Logistic Regression by J. Whitehead
• http://www2.chass.ncsu.edu/garson/pa765/logistic.htm Garson’s How To for logistic regression.

Survival Analysis

• "A Package of Survival Routines for S". The section on parametric models has been updated to reflect the new additions in that area. Report (postscript file, 537K) [27/Jan/1999] Documentation for Therneau’s S routines.
• http://socserv.mcmaster.ca/jfox/Courses/soc761/index.html Sociology 761 Statistical Applications in Social Research,Fall 2003, by John Fox, Department of Sociology McMaster University. Fox’s lecture notes are usually very well written, lucid. Look at the recent lecture notes on Survival Analysis available here.

R/S Resources: My Favorites

• http://www.R-project.org/ This is the official project homepage. Downloads (more libraries!), documentation, and other stuff is available here.
• R and S-PLUS Companion to Applied Regression by John Fox. This is a great book (and the ‘car’ library.) The level is a notch lower than Venables and Ripley. The book and car library focus on Multiple Linear Regression and Generalized Linear Regression Models. Highly recommended.
• Modern Applied Statistics with S. Fourth Edition by Venables and Ripley. This text is an excellent reference for applied statistics with S.
• Regression Modeling Strategies by Frank Harrell. This graduate text concentrates on strategies for various linear models including MLR, Logistic Regression, Ordered Logistic Regression, and Survival Analysis. These strategies are implemented in Harrell’s Design library.
• Jeff Gill’s S/R Resources This page is a very good source of S/R information, software, documentation, and books. Linear models, multiple imputation for missing data, categorical analysis, etc.
• Robert Andersons Notes on Functions for Modern Regression A handy summary
• Rweb is a Web based interface to R (a statistical analysis package) that takes the submitted code, runs R on the code (in batch mode), and returns the output (printed and graphical).

R/S Resources: Shamelessly Stolen From CRAN

Documents with more than 100 pages:

· “Using R for Data Analysis and Graphics” by John Maindonald (PDF [702kB], data sets and scripts are available at JM's homepage).

· “Simple R” by John Verzani (PDF [2.2MB], data sets, various PDF, PS and a browsable HTML version are available at the Simple R homepage).

· “Practical Regression and Anova using R” by Julian Faraway (PDF [1MB], data sets and scripts are available at the book homepage).

· The Web Appendix to the book “An R and S-PLUS Companion to Applied Regression” by John Fox contains information about using S (R and S-PLUS) to fit a variety of regression models.

· “An Introduction to S and the Hmisc and Design Libraries” by Carlos Alzola and Frank E. Harrell, especially of interest to SAS users, users of the Hmisc or Design packages, or R users interested in data manipulation, recoding, etc. (PDF [2.1MB])

· “Statistical Computing and Graphics Course Notes” by Frank E. Harrell, includes material on S, LaTeX, reproducible research, making good graphs, brief overview of computer languaes, etc. (PDF [460kB]).

Documents with less than 100 pages:

· “R for Beginners” by Emmanuel Paradis (PDF [447kB]).

· “Kickstarting R (version 1.6)” compiled by Jim Lemon, a short introduction in English as HTML files: download as gzipped TAR [90kB] or ZIP [100kB]; or browse directly.

· “Notes on the use of R for psychology experiments and questionnaires” by Jonathan Baron and Yuelin Li (PDF [235kB]). A browsable version is available at JB's homepage.

· “R for Windows Users (version 2.0)” by Ko-Kang Wang (PDF [250kB], LaTeX source [51kB]). Updates, a postscript version and a browsable HTML version are available at KW's R Resources page.

· “Building Microsoft Windows Versions of R and R packages under Intel Linux” by Jun Yan and A. J. Rossini (PDF [104kB], associated Makefile [6kB]).

· “A Guide for the Unwilling S User” by Patrick Burns (PDF [80kB]).

· “The R language — a short companion” by Marc Vandemeulebroecke ( PDF [203kB]).

Short Documents and Reference Cards

· “R reference card” by Jonathan Baron (PDF [58kB]).

· “R and Octave” by Robin Hankin (Text [19k]), a reference sheet translating between the most common Octave (or Matlab) and R commands.

R/S Help

There are several sources of help for R/S. You should start by searching the documentation that comes with your installation of R:

· extensive on-line help, accessible through the help function, ? operator, and Help menu. In R, you can also search for functions and help information using the apropos and help.search functions.

· R manuals in pdf format are available from the R Help menu

· R comes with frequently-asked-questions (FAQ) lists available from the R Help menu.

· All of this documentation is available in the doc subdirectory of the main R directory.

If you need more help:

· Documentation for R, including the manuals, frequently-asked-questions (FAQ) lists, user-contributed documentation, and newletters, is available at CRAN (the Comprehensive R Archive Network).

· Several email lists are available for users of R, including a list (r-help) to which you can post questions.  Archives of the R email lists are also available, and there are search facilities for R documentation and email lists. Remember! Posting a question to the r-help should be used as a last resort. The individuals who answer questions posted to these lists are volunteering their time.

Installing R

J.Fox’s directions for downloading and configuring R under Windows

Crimson Editor (Freeware) This is a good general purpose editor, but it will need a little configuration to best deal with R/S files. Download the current version and run the installation. The following steps are necessary to recognize  R/Splus.

Click on Tools > Preferences, then File > Syntax. Scroll down to one of the empty entries and enter

§ Description: R/Splus

§ Lang Spec: R-SPLUS.SPC

§ Keywords: R-SPLUS.KEY

You may want to add a filter for R files: Tools > Preferences > File > Filters

And do not forget to set up Backup files!  

Emacs speaks Statistics (ESS), an Emacs-Lisp interface to interactive statistical programming and data analysis languages, including: S dialects (such as R), LispStat dialects and SAS.

R-WinEdt: Using WinEdt, a shareware windows program, as editor and pager for R.

R-Kate is a module for highlighting R code in Kate, the KDE Advanced Text Editor.

Ultra Edit is a windows shareware editor with an R wordfile.