We'll be finishing the script file from Lecture 1 first (starting at Part 4: Variables continued) and then going over this script about data structures and how to access them.
Here is the syllabus. Remember that the schedule is subject to change. I'll be sure to keep you all in the loop.
Here are the class notes that we will be going over tomorrow morning. For future weeks, I will have these posted by Sunday night.
Please click the button below to download the script file and save it to a new folder specifically for this course. It'll become more apparent later why it makes sense to keep all files relating to a single project in the same folder. If you haven't done so yet, please download and install R. You can find the links to do so in the post below. Make sure that you can get it to open on your computer. For tomorrow, please bring your personal computer with R installed and with this script file downloaded. We'll go over the syllabus, go around and introduce ourselves (including one specific goal that you hope to achieve through this class), and then jump right in to this material. Let me know if you have any trouble with this file or with installing R. As always, feel free to email me if you have any general questions. Welcome to ECOL592: Introduction to R!
We'll use this website to upload the exercises that we'll go over in class as well as the home assignments. The plan is to make this class as interactive as possible, so it will be in your best interest to come to class with your personal computer and with that day's class notes downloaded and ready to run (the "script" file that I'll upload a few days ahead of each class). Feel free to leave questions about the material here (to facilitate discussion), or email me at mikoontz at gmail dot com. You can download R from here: http://cran.cnr.berkeley.edu/ The current version is R 3.0.2 "Frisbee Sailing" which was released only 3 months ago, so be sure to upgrade to this version if it has been a while since you've downloaded R. If you have a Mac, the regular R program provides a nice interface, but it has been recommended to me by PC users that RStudio offers a better user experience for Windows. RStudio is also available for MacOSX if you prefer. You can find RStudio here: http://www.rstudio.com/ We will meet at 9am every Tuesday in Plant Science E008 (the east wing of the basement). Again, this class is supposed to be participatory and interactive, so be ready to ask and answer a lot of questions! |
About the Course
The course is aimed to introduce students to the R language in an interactive way. In-class participatory lectures and assignments will be posted here. Categories
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