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R Graph Essentials

More Information
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
About

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.

Features
  • 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
Page Count 190
Course Length 5 hours 42 minutes
ISBN 9781783554553
Date Of Publication 21 Sep 2014

Authors

David Alexander Lillis

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.