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Mastering RStudio: Develop, Communicate, and Collaborate with R

You're reading from   Mastering RStudio: Develop, Communicate, and Collaborate with R Harness the power of RStudio to create web applications, R packages, markdown reports and pretty data visualizations

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Product type Paperback
Published in Dec 2015
Publisher Packt
ISBN-13 9781783982547
Length 348 pages
Edition 1st Edition
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Table of Contents (12) Chapters Close

Preface 1. The RStudio IDE – an Overview FREE CHAPTER 2. Communicating Your Work with R Markdown 3. R Lesson I – Graphics System 4. Shiny – a Web-app Framework for R 5. Interactive Documents with R Markdown 6. Creating Professional Dashboards with R and Shiny 7. Package Development in RStudio 8. Collaborating with Git and GitHub 9. R for your Organization – Managing the RStudio Server 10. Extending RStudio and Your Knowledge of R Index

The R graphics package—base


The inbuilt R graphics package, better known as the base plotting system, is the first address to start building a plot as it is the default method for plotting data. The graphics package, which provides the base plotting functions and the grDevices package, which includes the code to call the different system devices, are basically building the base plotting system.

The plot creation process can be divided into two phases.

  1. The initialization of a new plot.

  2. The extension of an existing plot.

The function, plot(), calls a graphic device and draws the data as a plot to the device. This plot function includes several basic graph types along with many arguments to annotate the plot. Furthermore, by using a very large number of different parameters, you can easily customize the created graph types.

Creating base plots

For the next plot, we are using the inbuilt, library(datasets), and the JohnsonJohnson dataset, which represents the quarterly earnings per Johnson & Johnson...

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