Getting Started with R: An Introduction for Biologists

R is rapidly becoming the standard software for statistical analyses, graphical presentation of data, and programming in the natural, physical, social, and engineering sciences. Getting Started with R is now the go-to introductory guide for biologists wanting to learn how to use R in their research. It teaches readers how to import, explore, graph, and analyse data, while keeping them focused on their ultimate goals: clearly communicating their data in oral presentations, posters, papers, and reports. It provides a consistent workflow for using R that is simple, efficient, reliable, and reproducible.

This second edition has been updated and expanded while retaining the concise and engaging nature of its predecessor, offering an accessible and fun introduction to the packages dplyr and ggplot2 for data manipulation and graphing. It expands the set of basic statistics considered in the first edition to include new examples of a simple regression, a one-way and a two-way ANOVA. Finally, it introduces a new chapter on the generalised linear model.

Getting Started with R is suitable for undergraduates, graduate students, professional researchers, and practitioners in the biological sciences.

• The Analysis of Biological Data
• Python for Biologists: A complete programming course for beginners
• The New Statistics with R: An Introduction for Biologists
• Writing Science: How to Write Papers That Get Cited and Proposals That Get Funded
• Practical Computing for Biologists
• R for Data Science: Import, Tidy, Transform, Visualize, and Model Data
• Essential Biostatistics: A Nonmathematical Approach
• RNA-seq Data Analysis: A Practical Approach (Chapman & Hall/CRC Mathematical and Computational Biology)
• ggplot2: Elegant Graphics for Data Analysis (Use R!)
• R Cookbook: Proven Recipes for Data Analysis, Statistics, and Graphics (O'reilly Cookbooks)