Analysis of community ecology data in R
This website is focused on an analysis of multivariate community ecology data, i.e. data with many descriptors (usually species) and samples (usually plots/sites/traps etc.). Since I am a vegetation ecologist, the website descriptions, and elaborated examples are heavily biased toward the analysis of vegetation data; still, I think that other ecological fields (e.g. zoologists or microbiologists) may still find the website useful. The aim is not a comprehensive online source of information about multivariate analysis (there are much more useful websites for this, see Links to other study materials). I focus mostly on preparing practical working examples of analyses with real datasets and elaborated solutions of individual exercises. The website's secondary aim is to provide insight into the theoretical background of established methods and links to recent developments in multivariate analysis and analysis of diversity. This is not to say that I try to keep pace with all the new and fancy analytical methods, more likely just those I found useful, promising or interesting (in my purely subjective and desperately biased view).
From time to time, I use this website as teaching materials for my class Numerical Methods in Community Ecology or some of the R workshops. For that reason, parts of the website are locked, namely those with class exercises and their solutions. Also, the website is constantly under construction, with major development and changes done during or before the semester when I teach some of the classes. In the remaining time, the website could serve as a source of online information about different aspects of community data analysis in R.
How to use this website
This wiki contains a short overview of relevant theory, real community datasets and example R scripts. Although these R scripts could be copied directly into the R command line, I strongly recommend you avoid copy-paste action and instead type the script by yourself - this is the best way how you will get familiar with the logic of R, although at the beginning the typing may feel annoying. This website also provides several working examples and datasets with real or simulated ecological data - you may use them to get more familiar with a method or problem. Each working example has (or should have soon) a solution link - but please, try to resist clicking it immediately and instead push hard to find the solution by yourself. Sometimes the link to hints is provided - if you struggle with a search for the solution, hints may help.
If you need to print the website, export the website into pdf using the export button located at the website's right margin among page tools. You may also use the browser's print function (works fine in Firefox, Chrome, and IE as far as I know). This will print the current page without buttons/links and stuff around.
If you need to get to previous pages, you can find them in Trace line in the website header. There is also a useful button Backlinks in the right vertical menu, which shows the other available wiki pages which link to the currently opened page.
Not important (or too much detail) information is sometimes provided as a footnote, with a link in a text which looks like this:1). By hovering the mouse over it, you can see its content without clicking on it. By clicking on it, you get down the page, and if you want to get back to the original place, click again on the [number] in front of the footnote.