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Master the syntax for working with R's plotting functions in
graphics and stats in this easy reference to formatting plots. The
approach in Visualizing Data in R 4 toward the application of
formatting in ggplot() will follow the structure of the formatting
used by the plotting functions in graphics and stats. This book
will take advantage of the new features added to R 4 where
appropriate including a refreshed color palette for charts, Cairo
graphics with more fonts/symbols, and improved performance from
grid graphics including ggplot 2 rendering speed. 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.
This handy reference book detailing the intricacies of R covers
version 4.x features, including numerous and significant changes to
syntax, strings, reference counting, grid units, and more. Starting
with the basic structure of R, the book takes you on a journey
through the terminology used in R and the syntax required to make R
work. You will find looking up the correct form for an expression
quick and easy. Some of the new material includes information on
RStudio, S4 syntax, working with character strings, and an example
using the Twitter API. With a copy of the R 4 Quick Syntax
Reference in hand, you will find that you are able to use the
multitude of functions available in R and are even able to write
your own functions to explore and analyze data. What You Will Learn
Discover the modes and classes of R objects and how to use them Use
both packaged and user-created functions in R Import/export data
and create new data objects in R Create descriptive functions and
manipulate objects in R Take advantage of flow control and
conditional statements Work with packages such as base, stats, and
graphics Who This Book Is For Those with programming experience,
either new to R, or those with at least some exposure to R but who
are new to the latest version.
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