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

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=The R project for Statistical Computing=
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[[Image:useR-middle.png]]
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{|align=right
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|__TOC__
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[[Image:useR-middle.png]]
 
  
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
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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==
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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).
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==UConn UseR Group==
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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]
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==Short Course==
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In the September/October 2008, we'll be offering a short course in R to beginners. 
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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}}.
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===Course Resources===
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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
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===Class 1===
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R Overview
 +
Importing/exporting
 +
Data Types
 +
Read through the description here: {{pdf| http://hydrodictyon.eeb.uconn.edu/eebedia/images/e/e2/UseRs_class1.pdf}}
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===Class 2===
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Data Manipulation
 +
Intro to graphics
 +
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)
 +
Jenica Allen's example
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===Class 4===
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Intro to modeling
 +
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===
 +
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 {{pdf| http://hydrodictyon.eeb.uconn.edu/people/wilson/Files/R/SpatialStats.pdf}}
 +
 
 +
==Resources==
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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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[[Category:Graduate Student Resources]]
 
[[Category:Graduate Student Resources]]
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[[Category:EEB Seminars]]

Latest revision as of 19:20, 9 October 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
Read through the description here: Pdficon small.gif


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 Pdficon small.gif

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