Visualizing data in R 4 graphics using the base, graphics, stats, and ggplot2 packages

Bibliographic Details
Other Authors:	Tollefson, Margot, author (author)
Format:	eBook
Language:	Inglés
Published:	[Place of publication not identified] : APress [2021]
Subjects:	Information visualization. R (Computer program language)
See on Biblioteca Universitat Ramon Llull:	https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009631717906719

Table of Contents:

Intro
Table of Contents
About the Author
About the Technical Reviewer
Acknowledgments
Part I: An Overview of plot()
Chapter 1: Introduction: plot(), qplot(), and ggplot(), Plus Some
1.1 plot(), par(), layout(), and split.screen()
1.2 qplot() and ggplot()
1.3 The Appendixes
1.4 Software Versions and Hardware Used in This Book
1.5 Graphics Devices
Chapter 2: The plot() Function
2.1 Arguments and Default Values
2.2 Ancillary Functions
2.3 Methods
2.4 The Graphics Devices and the Functions par(), layout(), and split.screen()
2.5 An Example
Chapter 3: The Arguments of plot()
3.1 The Dataset
3.2 Changing the Overall Appearance in plot()
3.2.1 Labels and Axis Limits
3.2.2 Box Type, Aspect Ratio, Annotation, and Expanded Plotting
3.3 Points and Lines
3.3.1 Types of Plots
3.3.2 The Arguments pch and lty
3.4 Details
3.4.1 Colors
3.4.1.1 Assigning Colors with Character Strings
3.4.1.2 Assigning Colors with Integers
3.4.1.3 Assigning Colors with Functions
3.4.2 Fonts and Font Families
3.4.2.1 Font Families and Assigning the Font Family in plot()
3.4.2.2 Font Weights in plot()
3.4.3 Character Size in plot()
3.4.4 Line Details: lwd, lend, ljoin, and lmitre
3.4.5 Making Changes to the Axes
3.4.6 Working with Log Scales
Chapter 4: Ancillary Functions for plot()
4.1 Functions That Affect Overall Appearance
4.1.1 The title() Function
4.1.2 The axis() and axTicks() Functions
4.1.2.1 The axis() Function
4.1.2.2 The axTicks() Function
4.1.3 The box(), grid(), clip(), and rug() Functions
4.1.3.1 The box() Function
4.1.3.2 The grid() Function
4.1.3.3 The clip() Function
4.1.3.4 The rug() Function
4.2 Functions Defined at Points
4.2.1 The points() Function
4.2.2 The text() Function.
4.2.3 The symbols() Function
4.2.4 The image() and rasterImage() Functions
4.2.4.1 The image() Function
4.2.4.2 The rasterImage() Function
4.3 Functions That Use Lines
4.3.1 The lines() and abline() Functions
4.3.2 The curve() Function
4.3.3 The segments() and arrows() Functions
4.3.3.1 The segments() Function
4.3.3.2 The arrows() Function
4.3.3.3 An Example of Using segments() and arrows()
4.3.4 Functions That Plot Lines That Close on Themselves: rect(), polygon(), and polypath()
4.3.4.1 The rect() Function
4.3.4.2 The polygon() Function
4.3.4.3 The polypath() Function
4.3.4.4 An Example of rect(), polygon(), and polypath()
4.3.5 The contour() Function
4.4 Functions to Provide Information About or to Interact with a Plot
4.4.1 The legend() and mtext() Functions
4.4.1.1 The legend() Function
4.4.1.2 The mtext() Function
4.4.2 The Interactive Functions: identify() and locator()
4.4.2.1 The identify() Function
4.4.2.2 The locator() Function
Chapter 5: The Methods of plot()
5.1 Methods
5.2 The Methods for plot() in the graphics Package
5.2.1 The data.frame Method
5.2.2 The factor Method
5.2.3 The formula Method
5.2.4 The function Method
5.2.5 The histogram Method
5.2.6 The raster Method
5.2.7 The table Method
5.3 The Methods for plot() in the stats Package
5.3.1 The acf Method
5.3.2 The decomposed.ts Method
5.3.3 The dendrogram Method
5.3.4 The density Method
5.3.5 The ecdf Method
5.3.6 The hclust Method
5.3.7 The HoltWinters Method
5.3.8 The isoreg Method
5.3.9 The lm Method
5.3.10 The ppr Method
5.3.11 The prcomp and princomp Methods
5.3.12 The profile.nls Method
5.3.13 The spec, spec.coherency, and spec.phase Methods
5.3.14 The stepfun Method
5.3.15 The stl Method
5.3.16 The ts Method.
5.3.17 The tskernel Method
Chapter 6: Graphics Devices and Laying Out Plots
6.1 Graphics Devices and Working with Graphics Devices
6.1.1 The Graphics Devices
6.1.2 Working with Graphics Devices
6.2 The par(), layout(), and split.screen() Functions
6.2.1 The par() Function
6.2.1.1 The Device Region
6.2.1.2 The Figure Region
6.2.1.3 The Plotting Region
6.2.1.4 Text and Line Width Arguments
6.2.1.5 Using par() to Generate Multiple Plots
6.2.2 The layout(), layout.show(), and lcm() Functions
6.2.3 The split.screen(), screen(), erase.screen(), and close.screen() Functions
Part II: A Look at the ggplot2 Package
Chapter 7: Graphics with the ggplot2 Package: An Introduction
7.1 The Language and Syntax Used in the ggplot2 Package
7.2 The qplot() Function
7.3 An Overview of the ggplot() Function
Chapter 8: Working with the ggplot() Function: The Theme and the Aesthetics
8.1 The Theme Functions
8.1.1 The theme() Function
8.1.1.1 The First Five Arguments of theme() and the Theme Element Functions of ggplot2
The element_line() Function
The element_rect() Function
The element_text() and margin() Functions
8.1.1.2 The Sixth Through Ninety-Fourth Specified Arguments of theme() and an Example
8.1.2 The Preset Theme Functions
8.1.3 Working with Themes
8.1.3.1 The theme_get(), theme_set(), theme_update(), and theme_replace() Functions and the + and %+replace% Operators
8.1.3.2 Creating and Registering a New Theme
8.2 The Aesthetic Functions
Chapter 9: The Geometry, Statistic, Annotation, and borders() Functions
9.1 The Geometry Functions
9.2 The Statistic Functions
9.3 The Annotation Functions
9.3.1 The annotate() Function
9.3.2 The annotation_custom() and ggplotGrob() Functions
9.3.3 The annotation_logticks() Function.
9.3.4 The annotation_map() and annotation_raster() Functions
9.4 The borders() Function
Chapter 10: Formatting and Plot Management Tools
10.1 Working with the scale_, coord_, and guide_ Functions
10.1.1 The Scale Functions That Affect Color, Size, Shape, and Line Type
10.1.1.1 The Identity Qualifier
10.1.1.2 The Manual Qualifier
10.1.1.3 The Alpha Characteristic
10.1.1.4 The Color, Colour, and Fill Characteristics: Introduction
10.1.1.5 The Color, Colour, and Fill Characteristics: The Continuous Qualifier
10.1.1.6 The Color, Colour, and Fill Characteristics: The Hue Qualifier
10.1.1.7 The Color, Colour, and Fill Characteristics: The Gradient Qualifiers
10.1.1.8 The Color, Colour, and Fill Characteristics: The Step Qualifiers
10.1.1.9 The Color, Colour, and Fill Characteristics: The Brewery Qualifiers
10.1.1.10 The Color, Colour, and Fill Characteristics: The Grey Qualifier
10.1.1.11 The Color, Colour, and Fill Characteristics: The Viridis Qualifiers
10.1.1.12 The Line Type Characteristics
10.1.1.13 The Shape Characteristics
10.1.1.14 The Size and Radius Characteristics
10.1.2 Setting the Order of Evaluation
10.1.3 Formatting Axes with the Scale and Coordinate Functions, Plus Some
10.1.3.1 The Scale Functions
10.1.3.2 The Coordinate Functions
10.1.3.3 Other Axis Functions
10.1.4 The Guide and Draw Key Functions
10.1.4.1 The Guide Functions
The Guides That Affect Axes
The Guides That Affect the Key to the Scaling Variables
10.1.4.2 The Draw Key Functions
10.2 Functions That Cut, Summarize, and Facet
10.2.1 The Cut Functions
10.2.2 The Summary Functions and the resolution() Function
10.2.3 The Facet Functions
10.3 Working with Plots, Automatic Plots, and Prototypes.
10.3.1 The ggsave() Function and the plot() and print() Functions Applied to ggplot Objects
10.3.2 The autoplot() and autolayer() Functions
10.3.3 Prototype Functions in the ggplot2 Package
Part III: Appendixes
Appendix A: Plots for Contingency Tables and Discrete Data
Appendix B: Plots for Continuous Variables
Appendix C: Functions That Plot Multiple Plots
Appendix D: Smoothers
Appendix E: Plots for Time Series
Appendix F: Miscellaneous Plotting Functions
Index.

Visualizing data in R 4 graphics using the base, graphics, stats, and ggplot2 packages

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