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 oralpresentations, 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
Are you a biologist looking to elevate your research game? Look no further! Getting Started with R: An Introduction for Biologists is your ultimate companion in mastering the powerful statistical software that is revolutionizing the way data is analyzed and presented in the biological sciences. Whether you are a seasoned researcher or a fresh graduate, this book will guide you through importing, exploring, graphing, and analyzing data with ease.
Stop wasting hours struggling with complex statistical software and embrace the simplicity and efficiency of R. With Getting Started with R, you will unlock the secrets of packages like dplyr and ggplot2, allowing you to manipulate data and create stunning visualizations that will captivate your audience. Say goodbye to tedious data analysis and hello to a streamlined workflow that guarantees reproducibility.
This second edition of Getting Started with R has been meticulously updated and expanded to offer you even more insights and tools to enhance your research. From basic statistics to advanced techniques like the generalised linear model, this book covers it all. Whether you are preparing a presentation, a poster, a paper, or a report, this guide will ensure that your data speaks volumes and stands out in the crowd.
Don't miss this opportunity to take your research skills to the next level. Dive into the world of R with Getting Started with R: An Introduction for Biologists and watch your data come to life like never before!
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