Titlebook: Visualizing Data in R 4; Graphics Using the b Margot Tollefson Book 2021 Margot Tollefson 2021 Programming.R.language.R 4.statistics.graphi

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The Arguments of plot( ) an R dataset. In this chapter, the function plot.default(), which plots scatterplots, is used for the examples. While most of the arguments in this chapter can be used in all or most versions of plot(), a few are specific to plot.default().

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Extemporize

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The plot( ) Functions, and/or images, and the areas of the graphic can be filled by colors or patterns. The kind of graphic displayed depends on the class of the object(s) to be displayed. For example, a single time series (an object of class ts) gives a line plot that is plotted over time.

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Ancillary Functions for plot( )egression line to a scatterplot or put text next to a point. In this chapter, those ancillary functions found in the graphics and stats packages are covered. The chapter is broken into four sections: the overall appearance, the functions assigning objects to locations, the functions that plot lines

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The Methods of plot( ) numeric vectors or the class of time series objects. In this chapter, we cover those methods of plot() in the graphics and stats packages – other than plot.default(). (The function plot.default() is the subject of Chapter 3.) There are eight methods for plot() in the graphics package, and, in the s

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Graphics Devices and Laying Out Plots devices available in R and RStudio. We also cover the functions that work with graphics devices. Following the description of the graphics devices, we go over the arguments of par() not covered in Chapters 3 and 4, then the functions layout() and split.screen(). Three arguments of par() and the fun

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Graphics with the ggplot2 Package: An Introductionqplot() (also ggplot()) and what the geometries do is displayed. A code listing for a plot using qplot(), along with the plot, are given. An overview of the function ggplot() and the ancillary functions used with ggplot() is given, along with a code listing and plot demonstrating the use of ggplot()