This unique book addresses the statistical modelling and analysis of microbiome data using cutting-edge R software. It includes real-world data from the authors research and from the public domain, and discusses the implementation of R for data analysis step by step. The data and R computer programs are publicly available, allowing readers to replicate the model development and data analysis presented in each chapter, so that these new methods can be readily applied in their own research.
The book also discusses recent developments in statistical modelling and data analysis in microbiome research, as well as the latest advances in next-generation sequencing and big data in methodological development and applications. This timely book will greatly benefit all readers involved in microbiome, ecology and microarray data analyses, as well as other fields of research.
Chapter 1: Introduction to R, RStudio and ggplot2
1.1 Introduction to R
1.2 Introduction to RStudio
1.3 Introduction to ggplot2
1.4 Introduction to R Packages for Microbiome Data
Chapter 2: What are Microbiome Data?
2.1 Phylogenetics--The Basics
2.2 What Microbiome Data Look Like?
2.2.1 Basic Data Structure and Format of Microbiome Data
2.2.2 OUT Table
2.2 3 Response Variables and Covariates
2.3 Some Specific Features of Microbiome Data
Chapter 3: Bioinformatic and Statistical Analyses of Microbiome Dl³n
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