Mathematics 363

Introduction to Statistical Methods

Spring 2012

Resource Page

R Manuals and Guides

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.
RSS Web Interfaces allow a user to submit R scripts interactively; edit the scripts; and resubmit the changed script by selecting the hypertext link button

Manuals

R for Biologists by Marco Martinez
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

Textbooks

Investigating Statistical Concepts, Applications, and Methods by Beth L. Chance and Allan J. Rossman
Probability and Statistics by Morris H. DeGroot and Mark J. Schervish
Stats: Data and Models by Richard D. De Veaux, Paul F. Velleman, David E. Bock
Stat Labs: Mathematical Statistics Through Applications by Deborah Nolan and Terry P. Speed
Mathematical Statistics and Data Analysis by John A. Rice

On-line Resources

Tables

Course Homepage