Montana State University published on its web a section containing some extracts relating to the fundamental topics of their course Analysis of Ecological Communities.
This is a real laboratory that introduce the analysts to the deployment of R , and covers all the main analysis applied to this type of study (consider, for example, detrended Correspondence Analysis (DCA) and all instruments derived from GIS). There is a series of example data files, so as structured data files Beauty consulting traditionally used for species and plant ecological communities.
This guide allows those who are already familiar with user of R, to achieve the highest quality and - most importantly - how to apply these techniques in their research.
Some of these sections here contained:
Introduction
Introduction to the use of R
Getting Data
Loading Data Vegetation and simple graphical summary
Loading Site Data and Simple
Graphical summary
Summary tables
Species Distributions Modeling
Generalized Linear Models
Generalized additive models
Classification Trees
Ordering
Principal Component Analysis
Analysis of Principal Coordinates
Multidimensional Scaling
Correspondence Analysis and Correspondence Analysis Detrended
Cluster Analysis
Cluster Analysis
Discriminant Analysis with Classifiers for Trees
