Lillis - R Graph essentials use Rs powerful graphing capabilities to design and create professional-level graphics

David Alexander Lillis is an experienced researcher and statistician, having worked in research evaluation, agricultural and forestry statistics, and education research and statistics. Currently, David delivers lectures in mathematics, statistics, and research methods at the New Zealand Institute of Sport in New Zealand. He is the owner and Director of Sigma Statistics and Research Limited, a New Zealand-based consultancy specializing in training, software development, data analysis, and statistical modelling using R. David holds an Honor's degree and Master's degree in Physics and Mathematics, and a PhD from Curtin University in Perth, Australia.

I wish to thank my familyAnna (my wife), David (my eight-year old son), and Coral (my mother) for their patience and support while I worked on this book. In addition, I wish to thank the three reviewers for their helpful feedback.

Mzabalazo Z. Ngwenya has worked extensively in the field of statistical consulting and currently works as a biometrician. He holds an MSc degree in Mathematical Statistics from the University of Cape Town, and is currently pursuing a PhD. His research interests include statistical computing, machine learning, and spatial statistics. Previously, he was involved in reviewing Learning RStudio for R Statistical Computing , Mark P.J. van der Loo and Edwin de Jonge , Packt Publishing ; R Statistical Application Development by Example Beginner's Guide , Prabhanjan Narayanachar Tattar , Packt Publishing ; and Machine Learning with R , Brett Lantz , Packt Publishing .

Donato Teutonico has several years of experience in the modeling and simulation of drug effects and clinical trials in industrial and academic settings. He received his Pharm.D. degree from the University of Turin, Italy, specializing in Chemical and Pharmaceutical Technology, and his PhD in Pharmaceutical Sciences from Paris-Sud University, France.

He is the author of two R packages for Pharmacometrics: CTS template and panels-for-pharmacometrics; both are available on Google code. He is also the author of Instant R Starter , Packt Publishing .

Tengfei Yin earned his BS degree in Biological Science and Biotechnology from Nankai University in China and a PhD in Molecular, Cellular and Developmental Biology (MCDB) with a focus on computational biology and bioinformatics from Iowa State University. His research interests include information visualization, high-throughput biological data analysis, data mining, machine learning, and applied statistical genetics. He has developed and maintained several software packages in R and Bioconductor.

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Preface

Reading this book will enable you to learn very quickly how to create wonderful graphics using R. Since R is based on syntax, the time required to master R can be considerable. However, creating high quality and attractive graphics is made easy through the syntax and step-by-step explanations of this book. By reading this book, you will learn how to introduce attractive color schemes, create headings and legends, design your own axes and axes labels, create mathematical expressions on your graphs, and much more.

What this book covers

, Base Graphics in R One Step at a Time , introduces the basic components of a graph (headings, symbols, lines, colors, axes, labels, legends, and so on) and outlines how to use the R syntax to create these components.

, Advanced Functions in Base Graphics , covers the techniques required to create professional-level graphs in R, including bar charts, histograms, boxplots, pie charts, and dotcharts. It also covers regression lines, smoothers, and error bars.

, Mastering the qplot Function , explains how to use qplot to create a wide range of basic but attractive graphs.

, Advanced Functions in Base Graphics , but this time using the many special and attractive features of ggplot.