Visualizing Data in R 4
Apress (Verlag)
978-1-4842-6830-8 (ISBN)
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 sophisticated-looking 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()
Who This Book Is For
Those in data science who use R. Some prior experience with R or data science is recommended.
Margot Tollefson, PhD is a semi-retired freelance statistician, with her own consulting business, Vanward Statistics. She received her PhD in statistics from Iowa State University and has many years of experience applying R to statistical research problems. Dr. Tollefson has chosen to write this book because she often creates graphics using R and would like to share her knowledge and experience. Her professional blog is on WordPress at vanwardstat. Social media: @vanstat
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.
| Erscheinungsdatum | 09.04.2021 |
|---|---|
| Zusatzinfo | 5 Illustrations, color; 90 Illustrations, black and white; XV, 401 p. 95 illus., 5 illus. in color. |
| Verlagsort | Berkley |
| Sprache | englisch |
| Maße | 178 x 254 mm |
| Themenwelt | Mathematik / Informatik ► Informatik ► Datenbanken |
| Informatik ► Grafik / Design ► Digitale Bildverarbeitung | |
| Mathematik / Informatik ► Informatik ► Programmiersprachen / -werkzeuge | |
| Informatik ► Theorie / Studium ► Algorithmen | |
| Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik | |
| Mathematik / Informatik ► Mathematik ► Computerprogramme / Computeralgebra | |
| Schlagworte | Code • computer vision • CV • Data • Data Science • ggplot • graphics • language • programming • R • r 4 • source • Statistics • Visualization • Visualizing |
| ISBN-10 | 1-4842-6830-X / 148426830X |
| ISBN-13 | 978-1-4842-6830-8 / 9781484268308 |
| Zustand | Neuware |
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