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Lectures will also be linked to the course syllabus. Recorded lectures will be placed in this folder as well for members who were not able to participate real time.

1A by Elsa Cleland — last modified 2008-01-22 09:06
 
1B by Jason Kreitler — last modified 2008-01-22 09:06
 
2A by Jason Kreitler — last modified 2008-01-22 09:06
 
2B - Introduction to R tutorial by Jason Kreitler — last modified 2008-01-31 08:59
You will need to download the three data files, and the script for your operating system, to a single directory on your computer. You can then open the screencast tutorial by clicking the link below, and work through the R script as you watch the screencast tutorial. If you have not already installed R, there are directions in the screencast as well as at www.r-project.org. I will be in 'office hours' in the Marratech 'Gold' room <<http://traits-dgs.nceas.ucsb.edu/workspace/course-logistics/marratech-details/>> 12-1 pm EST (9-10 PST) Thursday and Friday. Also feel free to post your questions to the 'Discussion board'. -Dan
3A by Jason Kreitler — last modified 2008-01-22 09:07
 
3B Statistics in R tutorial by Jason Kreitler — last modified 2008-02-07 16:52
This lab is intended to provide a quick introduction to more advanced data manipulation, loops, multivariate correlations, principle component analysis, linear regression, t-tests and analysis of variance. Please make sure that you have worked through Dan Bunker's W2B R lab before starting this. There is no screencast, but the comments in the script are extensive. Make sure that you view the script in a program that permits text wrapping or you may have to scroll to the right to read the longer comments. There are two items to download: the script and a datafile from Will Cornwell's work at Jasper Ridge in California. Please only use this data for the purposes of this lab. Will's 2006 Ecology paper, found under Readings, provides good background on the site and trait sampling. Enjoy, and let me know if you have any questions! Nathan Kraft- UC Berkeley
4A - community assembly lecture/discussion (DA) by David Ackerly — last modified 2007-11-15 15:43
Powerpoint and lectures for 4th week lecture
4B - community assembly exercise by David Ackerly — last modified 2008-02-14 12:58
This tutorial is intended to give you an introduction to: 1) if/ else statements 2) function writing 3) the use of monte carlo randomization and null models for significance testing, and 4) methods to test for non-random assembly of ecological communities, based on species traits. We'll assume that you have worked through the first two tutorials before starting this one. You'll need to download the two associated data files for this to run. Enjoy! Nathan Kraft and David Ackerly- UC Berkeley
5A - Convergence and Divergence by Jason Kreitler — last modified 2008-02-19 20:41
Fifth week lecture, K. Suding
5B by Jason Kreitler — last modified 2008-02-20 17:29
This is a short excercise to compare community similarity through time and across experimental treatments.
data slides by Jason Kreitler — last modified 2007-12-17 13:20
a couple .ppt slides describing your datasets
6A by Tiffany Troxler — last modified 2008-02-27 10:11
 
6B by David Ackerly — last modified 2008-02-28 23:28
R tutorials from Berkeley for week 6
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