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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 graphic system in R

Everywhere in our daily lives and in almost all professional fields, plots surround us. Most people find it very difficult to detect and understand the cause-effect relationships in mere numerical tables. Visualizing data helps humans quickly capture relationships between one or more variables. Therefore, the graphical system is an integral part of R.

An introduction to the graphic devices

When you visualize data, the resulting plot appears on a graphical device. There are three different types of devices:

  • File devices, also called vector output, including PDF, PostScript, xfig, pictex, SVG, and win.metafile.
  • Bitmap devices, including the formats PNG, JPEG, TIFF, and BMP.

Screen devices, which in turn are the services of the different platforms. For Mac OS X, it is quartz(), for Windows, it's windows(), and for Linux/Unix, the screen device is launched by x11().

When you create a plot, this graphic will be sent to your screen device. There is only one screen device...

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