An Introduction

1
An Introduction
R References
(with speaker notes)

• By
• Danny K. Hunt Eric D. Stolen

2
Overview

• Web References
• Wikipedia References
• Helps Reference
• Book Reference

3
Web References

• http//www.r-project.orgThe official R home page
• http//wiki.r-project.orgA great place loaded
  with information about R
• http//www.r-project.org/doc/Rnews/index.htmlR
  newsletter for users and developers of R code
• http//wiki.r-project.org/rwiki/doku.php?idgettin
  g-startedgetting-started Lots of information
  geared to someone new to R
• http//addictedtor.free.fr/graphiquesR graph
  gallery that shows off Rs graphing capability

4
Wikipedia References

• R (programming language) http//en.wikipedia.org/w
  iki/R_28programming_language29
• S (programming language) http//en.wikipedia.org/
  wiki/S_programming_language
• S-PLUS http//en.wikipedia.org/wiki/S-PLUS

5
Helps Reference

• R Reference Card (Short)http//cran.r-project.org
  /doc/contrib/Short-refcard.pdf
• R Reference Card (Baron)http//cran.r-project.org
  /doc/contrib/refcard.pdf
• The R language a short companionhttp//cran.r-p
  roject.org/doc/contrib/R_language.pdf
• R Functions For Regression Analysishttp//cran.r-
  project.org/doc/contrib/Ricci-refcard-regression.p
  df

6
Book Reference

• Statistics An Introduction using R
• by Michael J. Crawley, John Wiley Sons LtdAn
  excellent book that provides an introduction to
  the essentials of statistical analysis while
  teaching the R language. Even if you have a firm
  grasp of statistics this book will provide you
  with a very good platform to learn R. Crawley
  stresses model simplification and estimating
  effect sizes.Especially handy is the
  availability of worked examples, data sets,
  exercises and solutions offered through an
  accompanying website.

7

• The End