Visualizing Data in R 4 Graphics Using the base, graphics, stats, and ggDescription2 Packages [#492812]

Visualizing Data in R 4: Graphics Using the base, graphics, stats, and ggDescription2 Packages by Margot Tollefson
English | April 2, 2021 | ISBN: 148426830X | 420 pages | MOBI | 10 Mb
Master the syntax for working with R's Descriptionting functions in graphics and stats in this easy reference to formatting Descriptions. The approach in Visualizing Data in R 4 toward the application of formatting in ggDescription() will follow the structure of the formatting used by the Descriptionting 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 ggDescription 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 Description() and the ancillary functions you can use with Description(). You'll also see the functions par() and layout(), providing for multiple Descriptions on a page. Part II goes over the basics of using the functions qDescription() and ggDescription() in the package ggDescription2. The default Descriptions generated by the functions qDescription() and ggDescription() give more sophisticated-looking Descriptions than the default Descriptions done by Description() and are easier to use, but the function Description() is more flexible. Both Description() and ggDescription() allow for many layers to a Description.