Description

Book Synopsis
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.

Table of Contents
1) Introduction: plot(), qplot(), and ggplot(), Plus Somea) plot() – arguments, ancillary functions, and methods; par() and layout()b) qplot() and ggplot() – aesthetics, geometries, and other useful functionsc) other plotting functions in graphics and stats
Part I. An Overview of plot()
2) The plot() Function a) what the function is and how the function worksb) will use method .xy for example
3) The Arguments to plot()a) Type of plot, axis labels, plot titles, display formatb) Plotting characters, character size, fonts, colors, line styles and widths
4) Ancillary Functions to use with plot()a) axis(), box(), clip(), grid(), legend(), mtext(), rug()b) abline(), contour(), curve(), lines(), polypath()c) arrows(), image(), points(), polygon(), rect(), segments(), symbols(), text()d) axTicks(), identify(), locator(), pch(), strwidth(),
5) The Methods for plot()a) What are methods?b) Methods in the graphics packagec) Methods in the stats package
6) How to Use the Functions par() and layout()a) What par() doesb) Arguments specific to par()c) Multiple plots
Part II. A look at the ggplot2 Package
7) The Functions qplot(), ggplot(), and the Specialized Notation in ggplot2a) Working with qplot()b) The ggplot() functionc) Specialized notation
8) Themesa) The theme() functionb) The element_*() functions
9) Aesthetics and Geometriesa) The aes() functionb) The geom_*() functions
10) Controlling the Appearancea) The annotate_*() functionsb) The coord_*() functionsc) The facet_*() functionsd) The guide_*() functionse) The position_*() functionsf) The scale_*() functionsg) The stat_*() functions
Appendix I. Plots for Contingency TablesAppendix II. Plots for Continuous VariablesAppendix III. Plots for Data with a Limited Number of ValuesAppendix IV. Functions that Generate Multiple PlotsAppendix V. Plots for Time SeriesAppendix VI. Miscellaneous Plots

Visualizing Data in R 4

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A Paperback by Margot Tollefson

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    View other formats and editions of Visualizing Data in R 4 by Margot Tollefson

    Publisher: APress
    Publication Date: 1/2/2021 12:04:00 AM
    ISBN13: 9781484268308, 978-1484268308
    ISBN10: 148426830X

    Description

    Book Synopsis
    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.

    Table of Contents
    1) Introduction: plot(), qplot(), and ggplot(), Plus Somea) plot() – arguments, ancillary functions, and methods; par() and layout()b) qplot() and ggplot() – aesthetics, geometries, and other useful functionsc) other plotting functions in graphics and stats
    Part I. An Overview of plot()
    2) The plot() Function a) what the function is and how the function worksb) will use method .xy for example
    3) The Arguments to plot()a) Type of plot, axis labels, plot titles, display formatb) Plotting characters, character size, fonts, colors, line styles and widths
    4) Ancillary Functions to use with plot()a) axis(), box(), clip(), grid(), legend(), mtext(), rug()b) abline(), contour(), curve(), lines(), polypath()c) arrows(), image(), points(), polygon(), rect(), segments(), symbols(), text()d) axTicks(), identify(), locator(), pch(), strwidth(),
    5) The Methods for plot()a) What are methods?b) Methods in the graphics packagec) Methods in the stats package
    6) How to Use the Functions par() and layout()a) What par() doesb) Arguments specific to par()c) Multiple plots
    Part II. A look at the ggplot2 Package
    7) The Functions qplot(), ggplot(), and the Specialized Notation in ggplot2a) Working with qplot()b) The ggplot() functionc) Specialized notation
    8) Themesa) The theme() functionb) The element_*() functions
    9) Aesthetics and Geometriesa) The aes() functionb) The geom_*() functions
    10) Controlling the Appearancea) The annotate_*() functionsb) The coord_*() functionsc) The facet_*() functionsd) The guide_*() functionse) The position_*() functionsf) The scale_*() functionsg) The stat_*() functions
    Appendix I. Plots for Contingency TablesAppendix II. Plots for Continuous VariablesAppendix III. Plots for Data with a Limited Number of ValuesAppendix IV. Functions that Generate Multiple PlotsAppendix V. Plots for Time SeriesAppendix VI. Miscellaneous Plots

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