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R Data Visualization Recipes

You're reading from   R Data Visualization Recipes A cookbook with 65+ data visualization recipes for smarter decision-making

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Product type Paperback
Published in Nov 2017
Publisher Packt
ISBN-13 9781788398312
Length 366 pages
Edition 1st Edition
Languages
Tools
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Author (1):
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Vitor Bianchi Lanzetta Vitor Bianchi Lanzetta
Author Profile Icon Vitor Bianchi Lanzetta
Vitor Bianchi Lanzetta
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Table of Contents (13) Chapters Close

Preface 1. Installation and Introduction FREE CHAPTER 2. Plotting Two Continuous Variables 3. Plotting a Discrete Predictor and a Continuous Response 4. Plotting One Variable 5. Making Other Bivariate Plots 6. Creating Maps 7. Faceting 8. Designing Three-Dimensional Plots 9. Using Theming Packages 10. Designing More Specialized Plots 11. Making Interactive Plots 12. Building Shiny Dashboards

Wrapping a custom theme function


After using ggplot2 and performing theme changes several times, there are always theme tweaks you find yourself going for too often. This recipe goal is to demonstrate how to wrap theme functions into tailormade ones. Wrapping your preferences in a single function makes the process of crafting publish quality plots so much easier.

Getting ready

This recipe will test the custom theme function in the bubble object created by previous recipe, Drawing a bubble plot. If you wish to keep this way, make sure to have this object on your environment by running the recipe if it's missing. Another option is to draw an gg object of your own to replace bubble into the recipe. Do as you please.

How to do it...

Let us start with wrapping a custom theme function:

  1. Create a function that calls for theme():
> theme_custom <- function(s.legend1 = 14, 
                          s.legend2 = 14,
                          s.axes1 = 14, 
                          s.axes2 = 15, ....
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