Visualizing Data in R 4: Graphics Using the base, graphics, stats, and ggplot2 Packages

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Margot Tollefson

Visualizing Data in R 4

Graphics Using the base, graphics, stats, and ggplot2 Packages

Margot Tollefson

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English

APress
02 April 2021

Mathematical & statistical software; Algorithms & data structures; Artificial intelligence; Computer vision

Master the syntax for working with R’s plotting functions in graphics and stats in this easy reference to formatting plots. The approach in Visualizing Data in R 4 toward the application of formatting in ggplot() will follow the structure of the formatting used by the plotting functions in graphics and stats. This book will take advantage of the new features added to R 4 where appropriate including a refreshed color palette for charts, Cairo graphics with more fonts/symbols, and improved performance from grid graphics including ggplot 2 rendering speed.

Visualizing Data in R 4 starts with an introduction and then is split into two parts and six appendices. Part I covers the function plot() and the ancillary functions you can use with plot(). You’ll also see the functions par() and layout(), providing for multiple plots on a page. Part II goes over the basics of using the functions qplot() and ggplot() in the package ggplot2. The default plots generated by the functions qplot() and ggplot() give more sophisticated-looking plots than the default plots done by plot() and are easier to use, but the function plot() is more flexible. Both plot() and ggplot() allow for many layers to a plot.

The six appendices will cover plots for contingency tables, plots for continuous variables, plots for data with a limited number of values, functions that generate multiple plots, plots for time series analysis, and some miscellaneous plots. Some of the functions that will be in the appendices include functions that generate histograms, bar charts, pie charts, box plots, and heatmaps.

What You Will Learn

Use R to create informative

graphics Master plot(), qplot(), and

ggplot() Discover the canned graphics

functions in stats and graphics

Format plots generated by

plot() and ggplot()

Who This Book Is For

Those in data science who use R. Some prior experience with R or data science is recommended.

By: Margot Tollefson
Imprint: APress
Country of Publication: United States
Edition: 1st ed.
Dimensions: Height: 254mm, Width: 178mm,
Weight: 795g
ISBN: 9781484268308
ISBN 10: 148426830X
Pages: 401
Publication Date: 02 April 2021
Audience: Professional and scholarly , Undergraduate
Format: Paperback
Publisher's Status: Active

Margot Tollefson, PhD is a semi-retired freelance statistician, with her own consulting business, Vanward Statistics. She received her PhD in statistics from Iowa State University and has many years of experience applying R to statistical research problems. Dr. Tollefson has chosen to write this book because she often creates graphics using R and would like to share her knowledge and experience. Her professional blog is on WordPress at vanwardstat. Social media: @vanstat