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You're reading from  The Statistics and Machine Learning with R Workshop

Product typeBook
Published inOct 2023
Reading LevelIntermediate
PublisherPackt
ISBN-139781803240305
Edition1st Edition
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Author (1)
Liu Peng
Liu Peng
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Liu Peng

Peng Liu is an Assistant Professor of Quantitative Finance (Practice) at Singapore Management University and an adjunct researcher at the National University of Singapore. He holds a Ph.D. in statistics from the National University of Singapore and has ten years of working experience as a data scientist across the banking, technology, and hospitality industries.
Read more about Liu Peng

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Controlling themes in graphics

The theme layer specifies all non-data-related properties on the plot, such as the background, legend, axis labels, and so on. Proper control of the themes in the plot could aid visual communication by highlighting critical information and directing users’ attention to the intended message we would like to convey.

There are three types of visual elements controlled by the theme layer, as follows:

  • Text, used to specify the textual display (for example, color) of the axis label
  • Line, used to specify the visual properties of the axes such as color and line type
  • Rectangle, used to control the borders and backgrounds of the plot

All three types are specified using functions that start with element_, including examples such as element_text() and element_line(). We will go over these functions in the following section.

Adjusting themes

The theme layer can be easily applied as an additional layer on the existing graph. Let...

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You have been reading a chapter from
The Statistics and Machine Learning with R Workshop
Published in: Oct 2023Publisher: PacktISBN-13: 9781803240305

Author (1)

author image
Liu Peng

Peng Liu is an Assistant Professor of Quantitative Finance (Practice) at Singapore Management University and an adjunct researcher at the National University of Singapore. He holds a Ph.D. in statistics from the National University of Singapore and has ten years of working experience as a data scientist across the banking, technology, and hospitality industries.
Read more about Liu Peng