Description
Book Synopsis: 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.
Details
Looking to enhance your research with powerful statistical analyses and data visualization? Look no further than Getting Started with R: An Introduction for Biologists. As the leading software in the natural, physical, social, and engineering sciences, R offers everything you need to take your research to the next level. Whether you're an undergraduate, graduate student, professional researcher, or practitioner in the biological sciences, this book is your go-to guide for mastering R and effectively communicating your data.
Why waste time struggling with complex software when Getting Started with R provides a simple and efficient workflow? Designed specifically for biologists, this second edition has been updated and expanded to include the latest features of R. With step-by-step instructions, you'll learn how to import, explore, graph, and analyze your data with ease. The book also introduces you to essential packages like dplyr and ggplot2, enabling you to manipulate data and create stunning visualizations.
Don't let the fear of statistics hold you back. Getting Started with R covers all the basics, from simple regression to one-way and two-way ANOVA. No matter your level of expertise, this book provides clear explanations and practical examples that will boost your confidence in statistical analysis. Plus, with the addition of a new chapter on the generalized linear model, you'll have the tools to tackle even more complex research questions.
Don't miss out on this invaluable resource for biologists. Start your journey to becoming an R expert today! Click here to grab your copy of Getting Started with R.
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