"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, ..."
"'Which test should I apply?' During the many years of working with ecologists, biologists and other environmental scientists, this is probably the question that the authors of this book hear the most often. The answer is always the same and along the lines of 'What are your underlying questions?', 'What do you want to show?'. The answers to these questions provide the starting point for a detailed discussion on the ecological background ..."
"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 ..."
"'Which test should I apply?' During the many years of working with ecologists, biologists and other environmental scientists, this is probably the question that the authors of this book hear the most often. The answer is always the same and along the lines of 'What are your underlying questions?', 'What do you want to show?'. The answers to these questions provide the starting point for a detailed discussion on the ecological background ..."
"This book uses ecological datasets to discuss data exploration and visualisation tools. The authors also explain how to visualise the results of statistical models, an important aspect for publishing scientific papers. The book includes the R code needed to construct, visualise, and explore the main features of the data step by step."
"In this book we take the reader on an exciting voyage into the world of generalised additive mixed effects models (GAMM). Keywords are GAM, mgcv, gamm4, random effects, Poisson and negative binomial GAMM, gamma GAMM, binomial GAMM, NB-P models, GAMMs with generalised extreme value distributions, overdispersion, underdispersion, two-dimensional smoothers, zero-inflated GAMMs, spatial correlation, INLA, Markov chain Monte Carlo techniques ..."
"Chapter 1 provides a basic introduction to Bayesian statistics and Markov Chain Monte Carlo (MCMC), as we will need this for most analyses. If you are familiar with these techniques we suggest quickly skimming through it. In Chapter 2 we analyse nested zero inflated data of sibling negotiation of barn owl chicks. We explain application of a Poisson GLMM for 1-way nested data and discuss the observation-level random intercept to allow fo ..."
"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 ..."
"If the time span of the data is not long enough to generate a sufficient number of
blocks (> 20), it might be an option to consider the data as circular and connect
the last observation (row) with the first one. However, this process does. involve.
removing. trends. from. data. (Leps. and. Smilauer. 2003),. and. this. might. be.
the main point of interest. If the data consist of different transects, and there is a
large difference ..."
"This book presents Generalized Linear Models (GLM) and Generalized Linear Mixed Models (GLMM) based on both frequency-based and Bayesian concepts. Using ecological data from real-world studies, the text introduces the reader to the basics of GLM and mixed effects models, with demonstrations of binomial, gamma, Poisson, negative binomial regression, and beta and beta-binomial GLMs and GLMMs. The book uses the functions glm, lmer, glmer, ..."