Visualizing Data in R 4 - Graphics Using the Base, Graphics, stats, and ggplot2 Packages
Master the syntax for working with R's plotting functions in graphics and stats in this easy reference to formatting plots. The approach in this book toward the application of formatting in ggplot() will follow the structure of the formatting used by the plotting functions in graphics and stats...
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| Hlavní autor: | |
|---|---|
| Médium: | E-kniha |
| Jazyk: | angličtina |
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Berkeley, CA
Apress, an imprint of Springer Nature
2021
Apress Apress L. P |
| Vydání: | 1 |
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| ISBN: | 148426830X, 9781484268308, 1484268318, 9781484268315 |
| On-line přístup: | Získat plný text |
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- Title Page Table of Contents 1. Introduction: plot(), qplot(), and ggplot(), Plus Some 2. The plot() Function 3. The Arguments of plot() 4. Ancillary Functions for plot() 5. The Methods of plot() 6. Graphics Devices and Laying Out Plots 7. Graphics with the ggplot2 Package: An Introduction 8. Working with the ggplot() Function: The Theme and the Aesthetics 9. The Geometry, Statistic, Annotation, and borders() Functions 10. Formatting and Plot Management Tools Part III. Appendixes Index
- 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