This new edition to the classic book by ggplot2 creator Hadley Wickham
highlights compatibility with knitr and RStudio. ggplot2 is a data
visualization package for R that helps users create data graphics,
including those that are multi-layered, with ease. With ggplot2, it's
easy to:
- produce handsome, publication-quality plots with automatic legends
created from the plot specification
- superimpose multiple layers (points, lines, maps, tiles, box plots)
from different data sources with automatically adjusted common scales
- add customizable smoothers that use powerful modeling capabilities of
R, such as loess, linear models, generalized additive models, and
robust regression
- save any ggplot2 plot (or part thereof) for later modification or
reuse
- create custom themes that capture in-house or journal style
requirements and that can easily be applied to multiple plots
- approach a graph from a visual perspective, thinking about how each
component of the data is represented on the final plot
This book will be useful to everyone who has struggled with displaying
data in an informative and attractive way. Some basic knowledge of R is
necessary (e.g., importing data into R). ggplot2 is a mini-language
specifically tailored for producing graphics, and you'll learn
everything you need in the book. After reading this book you'll be able
to produce graphics customized precisely for your problems, and you'll
find it easy to get graphics out of your head and on to the screen or
page.
