Introduction to Statistical Methods
Downloads and web interfaces
_ The R Project for Statistical Computing. R, free statistical analysis package developed by Robert Gentleman and Ross Ihaka, is a language and environment for statistical computing and graphics. It is a GNU project which is similar to the S language and environment which was developed at Bell Laboratories (formerly AT&T, now Lucent Technologies) by John Chambers and colleagues. R can be considered as a different implementation of S.
_ Tinn-R is a Windows-based free, simple but efficient replacement for the basic code editor provided by R-gui.
_ Rstudio is an integrated development environment for R.
_ knitr integrates R code into a latex document.
_ R FAQ Ð Frequently Asked Questions on R
_ Declaration on Profession Ethics in several languages from the International Statistical Institute
_ Ethical Guidelines for Statistical Practice from the American Statistical Association
_ SimpleR: Using R for Introductory Statistics by John Verzani.
_ R for Beginners by Emmanuel Paradis.
_ Introductory Statistics with R (first edition) by Peter Dalgaard from the Springer Link.
Handouts and Guides
_ R as a basic statistical calculator for obtaining p-values and plotting probability distributions (6 page pdf file) by Bruce Walsh.
_ R reference card by Jonathan Baron.
_ R reference card by Tom Short.
_ R for Matlab users by Mathesaurus
_ Investigating Statistical Concepts, Applications, and Methods by Beth L. Chance and Allan J. Rossman
_ Stat 2 by Ann R. Cannon, George W. Cobb, Bradley A. Hartlaub, Julie M. Legler, Robin H. Lock, Thomas L. Moore, Allan J. Rossman , Jeffrey A. Witmer
_ Probability and Statistics by Morris H. DeGroot and Mark J. Schervish
_ Stats: Data and Models by Richard D. DeVeaux, Paul F. Velleman, David E. Bock
_ Practicing Statistics: Guided Investigations for the Second Course by Shonda Kuiper and Jeff Sklar
_ Stat Labs: Mathematical Statistics Through Applications by Deborah Nolan and Terry P. Speed
_ Mathematical Statistics and Data Analysis by John A. Rice
_ Correlation and Regression by Philip B. Stark
_ Java Applets provided by James W. Hardin
_ Java applets for power and sample size by Russ Lenth
_ Links to online resources