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.