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.   
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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.  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==
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==UConn UseR Group==
 
==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 [mailto:UConn-useRs@googlegroups.com UConn-useRs@googlegroups.com]
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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 [mailto:UConn-useRs-subscribe@googlegroups.com UConn-useRs-subscribe@googlegroups.com]
  
 
==Short Course==
 
==Short Course==
 
In the September/October 2008, we'll be offering a short course in R to beginners.   
 
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.''' 
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The results of the survey to pick a time and of student R-status are here {{pdf| http://hydrodictyon.eeb.uconn.edu/eebedia/images/9/9e/SurveyResultspdf.pdf}}.
 
===Course Resources===
 
===Course Resources===
 
The "R for Beginners" book:  http://cran.r-project.org/doc/contrib/Paradis-rdebuts_en.pdf  
 
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===
 
===Class 1===
 
  R Overview
 
  R Overview
 
  Importing/exporting
 
  Importing/exporting
 
  Data Types
 
  Data Types
  Data Manipulation
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  Read through the description here: {{pdf| http://hydrodictyon.eeb.uconn.edu/eebedia/images/e/e2/UseRs_class1.pdf}}
 
===Class 2===
 
===Class 2===
  Graphics
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  Data Manipulation
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Intro to graphics
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Intro to statistics
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Read through the description here: {{pdf| http://hydrodictyon.eeb.uconn.edu/people/wilson/Files/R/UseRs_class2.pdf}}
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===Class 3===
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Data manipulation continued (tapply, table, for, if)
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Jenica Allen's example
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===Class 4===
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Intro to modeling
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Overview of packages
 +
Linear models - lm() and anova()
 +
Examples by Suegene and Susan
 +
Read through the description here: {{pdf| http://hydrodictyon.eeb.uconn.edu/people/wilson/Files/R/UseRs_class4.pdf}}
 +
 
 +
 
 +
===Class 5===
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Advanced programming
 +
Writing functions
 +
More about loops
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You can get the files we used at the following links
 +
http://hydrodictyon.eeb.uconn.edu/people/wilson/Files/R/loop.jenica.R
 +
http://hydrodictyon.eeb.uconn.edu/people/wilson/Files/R/examples.R
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http://hydrodictyon.eeb.uconn.edu/people/wilson/Files/R/fill.1dimension.R
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===Class 6===
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Spatial data analysis
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sp class
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importing spatial data
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Example by Trina
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Download the data here http://hydrodictyon.eeb.uconn.edu/people/wilson/Files/R/HM_Data.zip
 +
Download the class notes here {{pdf| http://hydrodictyon.eeb.uconn.edu/people/wilson/Files/R/SpatialStats.pdf}}
  
 
==Resources==
 
==Resources==

Latest revision as of 15:20, 9 October 2008

UseR-middle.png

Contents


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 link= http://hydrodictyon.eeb.uconn.edu/eebedia/images/9/9e/SurveyResultspdf.pdf.

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: link= http://hydrodictyon.eeb.uconn.edu/eebedia/images/e/e2/UseRs_class1.pdf

Class 2

Data Manipulation
Intro to graphics
Intro to statistics
Read through the description here: link= http://hydrodictyon.eeb.uconn.edu/people/wilson/Files/R/UseRs_class2.pdf

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
Read through the description here: link= http://hydrodictyon.eeb.uconn.edu/people/wilson/Files/R/UseRs_class4.pdf


Class 5

Advanced programming
Writing functions
More about loops
You can get the files we used at the following links
http://hydrodictyon.eeb.uconn.edu/people/wilson/Files/R/loop.jenica.R
http://hydrodictyon.eeb.uconn.edu/people/wilson/Files/R/examples.R
http://hydrodictyon.eeb.uconn.edu/people/wilson/Files/R/fill.1dimension.R

Class 6

Spatial data analysis
sp class
importing spatial data
Example by Trina
Download the data here http://hydrodictyon.eeb.uconn.edu/people/wilson/Files/R/HM_Data.zip
Download the class notes here link= http://hydrodictyon.eeb.uconn.edu/people/wilson/Files/R/SpatialStats.pdf

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

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