Ggplot2 Essentials : Explore the Full Range of Ggplot2 Plotting Capabilities to Create Meaningful and Spectacular Graphs.

Cover -- Copyright -- Credits -- About the Author -- About the Reviewers -- www.PacktPub.com -- Table of Contents -- Preface -- Chapter 1: Graphics in R -- Getting ggplot2 up and running -- Packages in R -- The Integrated Development Environment -- RStudio -- Eclipse and StatET -- Emacs and ESS -- The plotting environments in R -- Standard graphics and grid-based graphics -- Graphics and standard plots -- Scatterplots with individual data points -- Scatterplots with the line of one tree -- Scatterplots with the line and points of one tree -- Boxplots of the orange dataset -- Boxplots with individual observations -- Histograms of the orange dataset -- Histograms with the reference line at the median value in red -- Lattice and Trellis plots -- Scatterplots with individual observations -- Scatterplots of the orange dataset with faceting -- Faceting scatterplots with line and points -- Scatterplots with grouping data -- Boxplots of the orange dataset -- Histograms of the orange dataset -- Histograms with the reference line at the median value in red -- ggplot2 and the grammar of graphics -- Further reading -- Summary -- Chapter 2: Getting Started -- General aspects -- Introduction to aesthetic attributes -- Introduction to faceting -- Histograms and density plots -- Bar charts -- Boxplots -- Scatterplots -- Time series -- Bubble charts and dot plots -- Further reading -- Summary -- Chapter 3: The Layers and Grammar of Graphics -- Components of layered grammar -- Creating a plot layer by layer with the ggplot function -- Scales -- The coordinate system -- Faceting -- Grid faceting -- Wrap faceting -- Layers in ggplot2 -- Data -- Aesthetic mapping -- Geometric -- Stat -- Position adjustment -- Position adjustment of categorical data -- Position adjustment of continuous data -- Equivalent coding between qplot and ggplot -- Histograms and density plots.

Bar charts -- Boxplots -- Scatterplots -- Further reading -- Summary -- Chapter 4: Advanced Plotting Techniques -- Adding statistics -- Smooth lines -- Linear regression -- Statistics with faceting -- Advanced aesthetic mapping -- Typical aesthetic mappings available in ggplot2 -- Mapping the aesthetic to new stat variables -- Difference in mapping continuous and categorical variables -- Adding text and reference lines to plots -- Add text and reference lines with facets -- Plots with polar coordinates -- A pie chart -- A bullseye chart -- A coxcomb diagram -- Further reading -- Summary -- Chapter 5: Controlling Plot Details -- Exploring scales -- The plot title and axis labels -- Axis scales -- The discrete axis -- The continuous axis -- Axis transformations -- Legends -- The legend title -- Legend keys and key labels -- Themes -- Themes for the legend -- Themes for the axis and title -- Themes for the plot background -- Themes with facets -- Further reading -- Summary -- Chapter 6: Plot Output -- Multiple plots in one page -- Arranging plots in rows and columns -- Specifying the plot position -- Saving plots to a file -- Saving the plot manually -- Saving the plot to a file without rendering it -- Saving a single plot -- Saving multiple plots on the same PDF file -- Saving the plot after rendering it -- Further reading -- Summary -- Chapter 7: Special Applications of ggplot2 -- Plotting maps with ggplot2 and ggmap -- Mapping representations with ggplot2 and maps -- Representing maps with ggmap -- Scatterplot matrix with GGally -- Plotting heatmaps with ggplot2 -- Further reading -- Summary -- Index.

Description based on publisher supplied metadata and other sources.

Electronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, 2024. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries.