R Graph Essentials
David Alexander Lillis
About This Book
- Learn how to use Base R to analyze your data and generate statistical graphs
- Create attractive graphics using advanced functions such as qplot and ggplot for research and analysis
- A step-by-step guide, packed with examples using real-world data sets that can prove helpful to R programmers
Who This Book Is For
This book is targeted at R programmers who want to learn the graphing capabilities of R. This book will presume that you have working knowledge of R.
What You Will Learn
- Understand and implement the basic graphics syntax and techniques
- Create scatterplots and line plots, and include mathematical expressions in them
- Include more advanced graphics and color palettes in your graph
- Create and customize graphs using the qplot function
- Customize the graphics, backgrounds, sizes, and colors of your graph using ggplot
- Add layers to your graph using ggplot
- Make publication-quality graphs using ggplot
R has undergone an explosion of popularity around the world. The wide range of graphs and options for creating high-impact visualizations makes R a highly effective tool for researchers, data analysts, students, and others.
This book starts with the basics of R and the principles of creating graphics, focusing on scatterplots and line graphs for research and data analysis.
After that you will learn how to include mathematical expressions on your graphs and create bar charts, histograms, boxplots, and so on using advanced functions. The book then dives deeper into shading and coloring your graphs and labeling points on graphs using the qplot function. After that you will learn how to use the ggplot package to control symbol color, size, shape, and many other attributes.
By the end of this book, you will have expert skills to create attractive and informative graphics and design professional-level graphs.