Computational Statistics: An Introduction to R

This is the web page <http://sintro.r-forge.r-project.org/> accompanying the book

Course material and supplements for a compact course on computational statistics, including an introduction to R.

From the Book

• Contents
  
• Introduction
  
• Supplement (including complete appendix) 30. Dec. 2011.
  Using the R byte code compiler: see p.5 ff
  
• All Exercises (pdf, 1 MB) 06. June 2014
  
• R Profiling and Optimisation(Slides, 8up) 03. Apr. 2012.
  
• Web Links and Package Download Commands
  

Download

The R software and additional material can be downloaded from the CRAN repository.
A previous German version is Einführung in R. This version will stay available in the CRAN archive, with kind permission of Chapman & Hall/CRC.

For the project summary page see here.

Contact information is available on the author's home page.

Course and Teaching Material

• Computational Statistics: A Proposal for a Basic Course. (pdf, 1.5MB)
  Slides of a talk given at the meeting on Statistical Computing, Reisensburg 2009.
• Examples
  • All examples from the book, one example per page. (pdf, 4.9MB)
    
  • R Source code for all examples, by chapter.
    
  • Graphic pdf output for all examples, by example
    
  • Selected examples (under construction)
    
• Data sets (under construction)
  
• Sample Time Tables
• Source code snippets: an R package with some support routines and solutions 10. Nov. 2012 OddOneOut() added
  To install this package directly within R, type
     install.packages("sintro",repos="http://r-forge.r-project.org")
  To install the recent package from source directly within R, type
     install.packages("sintro",repos="http://r-forge.r-project.org",type="source")
• sprof: an R package for the analysis of profiling data. 11. Aug. 2013
  To install this package directly within R, type
     install.packages("sprof",repos="http://r-forge.r-project.org")
  To install the recent package from source directly within R, type
     install.packages("sprof",repos="http://r-forge.r-project.org",type="source")
  For more information, see R profiling and optimisation (pdf).

Additional References

programming Wikibook

This book is designed to be a practical guide to the R programming language.

The  Journal

The R Journal is the open access, refereed journal of the R project for statistical computing. It features short to medium length articles covering topics that might be of interest to users or developers of R.

Graph Gallery

A collection of graphic examples.

Pearltree s' R Graph Gallery

A collection of links, mainly for graphic examples.

http://www.pearltrees.com/u/46808524-r-graph-gallery-home

The   Inferno.

The title says it. Please feel at home. Welcome!