
Dear participants of the EEID2009 Workshop,

In the zip file "EEID 2009 Day 1" you will find all the files (I hope) required to go complete the tutorial I have prepared for the EEID Workshop. The main tutorial is called "EEID R Basics.pdf" and it is an introduction to R with examples and exercises for you to complete on your own, perhaps even before the workshop ;o)!! It is particularly designed to provide you with the basics you'll need to follow along for the rest of the days of the workshop.

Before you start the my tutorial, I recommend reading/skimming (but not necessarily doing all the exercises) within "R Intro Ellner & Bolker.pdf" sections 0 -> 4 inclusive. All the data files you will need are also provided for their document (Chlorellagrowth, Intro1, & Intro2). This tutorial gives more background on the actual R program itself, how it install it, what packages are, the basic interactive calculations in R, etc. So you should read this one first.

While going through the main tutorial, if you get stuck on an exercise, I have provided the R-code for EVERYTHING I did while creating it (at least I think everything). The section on ODEs is in a separate .R file simply because I did that section last and the other one was getting rather long (feel free to split it up by section if you prefer). If you REALLY get stuck, try to work past the roadblock and we will take it up during Day 1 of the workshop. I also refer to Ben Bolker's book in the tutorial, as he has graciously provided a pdf of Ch. 2 on data organization & manipulation.

Lastly, the main data set you will be using for the tutorial is called "Tree data.csv" which is a completely meaningless data set I made up or took from other data sets and renamed the headings something that sounded like a 'tree' variable. The actual values, results, and statistics aren't important. What IS important is that at the end you have a working script of R code (which you wrote and understand!) that you will be able to take home to reproduce and recreate these figures, analyses, and data manipulations by yourself (with your own "real" data).

If you have any nagging/urgent questions, my email is: sgf@colostate.edu.
See you at the Workshop!
Stu
