# Difference between revisions of "UConn UseRs - An introduction to R"

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− | This page is to serve as a resource for the UConn community (especially EEB) to encourage the use of R in data analysis. | + | This page is to serve as a resource for the UConn community (especially EEB) to encourage the use of R in data analysis. It is also the resource site for the EEB Short Course in R, entitled "Introduction to R." |

==The R project for Statistical Computing== | ==The R project for Statistical Computing== |

## Revision as of 15:04, 25 August 2008

This page is to serve as a resource for the UConn community (especially EEB) to encourage the use of R in data analysis. It is also the resource site for the EEB Short Course in R, entitled "Introduction to R."

## Contents

## The R project for Statistical Computing

R is a free software environment for statistical computing and graphics. It compiles and runs on a wide variety of UNIX platforms, Windows and MacOS. To download R, please choose your preferred CRAN mirror (http://cran.r-project.org/mirrors.html).

## UConn UseR Group

We also have a google group to facilitate discussions, questions, and anything else that comes to mind. Check it out at: http://groups.google.com/group/UConn-useRs or subscribe by sending an email to UConn-useRs@googlegroups.com

## Short Course

In the September/October 2008, we'll be offering a short course in R to beginners.

### Course Resources

The "R for Beginners" book: http://cran.r-project.org/doc/contrib/Paradis-rdebuts_en.pdf

### Class 1

R Overview Importing/exporting Data Types Data Manipulation

### Class 2

Graphics

## Resources

The R Project homepage: http://www.r-project.org/

Resources to help you learn and use R: http://www.ats.ucla.edu/stat/r/

Analysis of Ecological and Environmental Data: http://cran.r-project.org/web/views/Environmetrics.html