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

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===Class 3===
 
===Class 3===
  Graphics
+
  Data manipulation continued (tapply, table, for, if)
  Scatter plots, boxplots, designing your own plots
+
Jenica Allen's example
  
 
===Class 4===
 
===Class 4===
  Spatial Data
+
Intro to modeling
  sp class  
+
Overview of packages
 +
Linear models - lm() and anova()
 +
Examples by Suegene and Susan
 +
 
 +
===Class 5===
 +
Advanced programming
 +
Writing functions
 +
More about loops
 +
 
 +
===Class 6===
 +
  Spatial data analysis
 +
sp class
 +
importing spatial data
 +
Example by Trina?
  
 
==Resources==
 
==Resources==

Revision as of 13:50, 16 September 2008

UseR-middle.png


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

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-subscribe@googlegroups.com

Short Course

In the September/October 2008, we'll be offering a short course in R to beginners. The course will be on Fridays from 2-3:30 in TLS 301 from September 5th through October 17th.

The results of the survey to pick a time and of student R-status are here Pdficon small.gif.

Course Resources

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

The R "Cheat Sheet" (a great resource to print out and keep near the computer) http://cran.r-project.org/doc/contrib/Short-refcard.pdf

Class 1

R Overview
Importing/exporting
Data Types
Read through the description here: Pdficon small.gif

Class 2

Data Manipulation
Intro to graphics
Intro to statistics
Read through the description here: Pdficon small.gif

Class 3

Data manipulation continued (tapply, table, for, if)
Jenica Allen's example

Class 4

Intro to modeling 
Overview of packages
Linear models - lm() and anova()
Examples by Suegene and Susan

Class 5

Advanced programming
Writing functions
More about loops

Class 6

Spatial data analysis
sp class
importing spatial data
Example by Trina?

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