Visualizing Data in R 4: Graphics Using the base, graphics, stats, and ggplot2 Packages  PDF & ePUB Download
PDF, ePUB
 eBook:Visualizing Data in R 4: Graphics Using the base, graphics, stats, and ggplot2 Packages
 Author:Margot Tollefson
 Edition:1 edition
 Categories:
 Data:April 30, 2021
 ISBN:148426830X
 ISBN13:9781484268308
 Language:English
 Pages:416 pages
 Format:PDF, ePUB
Description of Visualizing Data in R 4: Graphics Using the base, graphics, stats, and ggplot2 Packages ebook
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 sophisticatedlooking 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()
Those in data science who use R. Some prior experience with R or data science is recommended.

Content
Chapter 1: Introduction: plot( ), qplot( ), and ggplot( ), Plus Some
Chapter 2: The plot( ) Function
Chapter 3: The Arguments of plot( )
Chapter 4: Ancillary Functions for plot( )
Chapter 5: The Methods of plot( )
Chapter 6: Graphics Devices and Laying Out Plots
Part II: A Look at the ggplot2 Package
Chapter 7: Graphics with the ggplot2 Package: An Introduction
Chapter 8: Working with the ggplot( ) Function: The Theme and the Aesthetics
Chapter 9: The Geometry, Statistic, Annotation, and borders( ) Functions
Chapter 10: Formatting and Plot Management Tools
Download pdf, epub, Visualizing Data in R 4: Graphics Using the base, graphics, stats, and ggplot2 Packages
