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

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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 grap...

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Bibliographic Details
Main Author: Tollefson, Margot (Author)
Corporate Author: SpringerLink (Online service)
Format: eBook
Language:English
Published: Berkeley, CA : Apress : Imprint: Apress, 2021.
Edition:1st ed. 2021.
Subjects:
Computer software.
Optical data processing.
Data structures (Computer science).
Artificial intelligence.
Professional Computing.
Computer Imaging, Vision, Pattern Recognition and Graphics.
Data Structures and Information Theory.
Artificial Intelligence.
Electronic books.
Online Access:Connect to the full text of this electronic book
Table of Contents:
  • Part I. An Overview of plot()
  • 1. Introduction: plot(),qplot(), and ggplot(), Plus Some
  • 2. The plot() Function
  • 3. The Arguments to plot()
  • 4. Ancillary Functions for plot()
  • 5. The Methods for plot()
  • 6, Graphics Devices and Laying Out Plots
  • Part II. A look at the ggplot2 Package
  • 7. Graphics with the ggplot2 Package: An Introduction
  • 8. Working with the ggplot() Function: The Theme and the Aesthetics
  • 9. The Geometry, Statistic, Annotate, and Border Functions
  • 10. Formatting and Plot Management Tools
  • Part III. Appendices
  • A. Plots for Contingency Tables and Discrete Data
  • B. Plots for Continuous Variables
  • C. Functions That Plot Multiple Plots
  • D. Smoothers
  • E. Plots for Time Series
  • F. Miscellaneous Plotting Functions.