"Based on their extensive experience with teaching R and statistics to applied scientists, the authors provide a beginner's guide to R. To avoid the difficulty of teaching R and statistics at the same time, statistical methods are kept to a minimum. The text covers how to download and install R, import and manage data, elementary plotting, an introduction to functions, advanced plotting, and common beginner mistakes. This book contains e ..."
"Building on the successful Analysing Ecological Data 2007 by Zuur Ieno and Smith the authors now provide an expanded introduction to using regression and its extensions in analysing ecological data As with the earlier book real data sets from postgraduate ecological studies or research projects are used throughout The first part of the book is a largely non-mathematical introduction to linear mixed effects modelling GLM and GAM zero inf ..."
"Functions. In previous chapters, we demonstrated how to enter data; read data
from a spreadsheet, ascii file, or a database; and extract subsets of data. In this
chapter, we discuss applying some simple functions to the data, such as the
mean or the mean of a single data subset. These are functions that may be useful
; however, they are not the tools that will convince you to become an R user. Use
them when it is convenient. Upon fi ..."
"This chapter revises the basic concepts of linear regression, shows how to apply
linear regression in R, discusses model validation, and outlines the limitations of
linear regression when applied to ecological data. Later chapters present
methods to overcome some of these limitations; but as always before doing any
complicated statistical analyses, we begin with a detailed data exploration. The
key concepts to consider at this stag ..."